././@PaxHeader0000000000000000000000000000003300000000000011451 xustar000000000000000027 mtime=1678473140.590556 usgs-0.3.5/0000755000076500000240000000000000000000000012556 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/.gitignore0000644000076500000240000000134400000000000014550 0ustar00amitstaff00000000000000.DS_Store # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] # C extensions *.so # Distribution / packaging .Python env/ build/ develop-eggs/ dist/ downloads/ eggs/ lib/ lib64/ parts/ sdist/ var/ *.egg-info/ .installed.cfg *.egg # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .coverage .cache nosetests.xml coverage.xml # Translations *.mo *.pot # Django stuff: *.log # Sphinx documentation docs/_build/ # PyBuilder target/ *.geojson # pyenv .python-version # VSCode .vscode ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/.travis.yml0000644000076500000240000000026100000000000014666 0ustar00amitstaff00000000000000language: python python: - "2.7" - "3.4" - "3.6" - "3.7-dev" install: - "pip install -r requirements.txt" - "pip install -e .[test]" script: - py.test sudo: false ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/LICENSE0000644000076500000240000000135000000000000013562 0ustar00amitstaff00000000000000ISC License Copyright (c) 2017, Amit Kapadia Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. ././@PaxHeader0000000000000000000000000000003200000000000011450 xustar000000000000000026 mtime=1678473140.59102 usgs-0.3.5/PKG-INFO0000644000076500000240000000036100000000000013653 0ustar00amitstaff00000000000000Metadata-Version: 2.1 Name: usgs Version: 0.3.5 Summary: Access the USGS inventory service Home-page: https://github.com/kapadia/usgs Author: Amit Kapadia Author-email: amit@planet.com License: MIT Provides-Extra: test License-File: LICENSE ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1646747831.0 usgs-0.3.5/README.rst0000644000076500000240000000112300000000000014242 0ustar00amitstaff00000000000000======== USGS API ======== `USGS` is a python module for interfacing with the US Geological Survey's API. It provides submodules to interact with various endpoints, and command line utilities, helpful for building out large pipelines. Documentation is available at: http://kapadia.github.io/usgs/ ChangeLog ======== 0.3.3 Implements the download options endpoint (@aazuspan) 0.3.0 Update the USGS Machine to Machine API from 1.4 to 1.5 0.2.6 Carl.andrson@nltgis.com Remove dependency on pyproj and shapely and use great circle computation to expand a point search to a box ././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5443099 usgs-0.3.5/docs/0000755000076500000240000000000000000000000013506 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/Makefile0000644000076500000240000001514200000000000015151 0ustar00amitstaff00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. 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The pseudo-XML files are in $(BUILDDIR)/pseudoxml." ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/conf.py0000644000076500000240000002011400000000000015003 0ustar00amitstaff00000000000000# -*- coding: utf-8 -*- # # usgs documentation build configuration file, created by # sphinx-quickstart on Tue Jan 20 10:21:12 2015. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os import sphinx_rtd_theme import usgs # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.viewcode', ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] todo_include_todos = True # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'usgs' copyright = u'2017, Amit Kapadia' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. version = usgs.__version__ release = usgs.__version__ # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ['_build'] # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'sphinx_rtd_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. #html_extra_path = [] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'usgsdoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ ('index', 'usgs.tex', u'usgs Documentation', u'Amit Kapadia', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'usgs', u'usgs Documentation', [u'Amit Kapadia'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'usgs', u'usgs Documentation', u'Amit Kapadia', 'usgs', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/index.rst0000644000076500000240000001525700000000000015361 0ustar00amitstaff00000000000000usgs ==== usgs is a Python library for interfacing with the US Geologic Survey's Inventory Service. The Inventory Service supports a variety of requests for accessing USGS datasets, including searching datasets, downloading data products, and accessing metadata on data products. .. note:: All requests require an account with `USGS's EROS service `_. The account must also have Machine to Machine privileges. .. note:: As of May 15, 2017 the USGS has deprecated their SOAP API. This library has been updated to use their JSON API. As a result most, if not all, responses through this client will have a different structure compared to the older SOAP version. .. note:: This library currently uses version 1.4 of the USGS Inventory Service API. Installation ------------ .. code-block:: bash pip install usgs Examples -------- These two examples demonstrate how to access metadata for a Hyperion scene and Landsat 8 scene. Both datasets are part of the EarthExplorer catalog. Hyperion is designated by the dataset ``EO1_HYP_PUB``, Landsat 8 is designated by ``LANDSAT_8``. Python ****** .. code-block:: python from usgs import api # Set the EarthExplorer catalog node = 'EE' # Set the Hyperion and Landsat 8 dataset hyperion_dataset = 'EO1_HYP_PUB' landsat8_dataset = 'LANDSAT_8' # Set the scene ids hyperion_scene_id = 'EO1H1820422014302110K2_SG1_01' landsat8_scene_id = 'LC80290462015135LGN00' # Submit requests to USGS servers api.metadata(hyperion_dataset, node, [hyperion_scene_id]) api.metadata(landsat8_dataset, node, [landsat8_scene_id]) Command Line ************ .. code-block:: bash $ usgs metadata --node EE EO1_HYP_PUB EO1H1820422014302110K2_SG1_01 { "errorCode": null, "executionTime": 1.6408669948578, "data": [ { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/1854/EO1H1820422014302110K2_SG1_01/", "upperLeftCoordinate": { "latitude": 26.253489, "longitude": 21.53022 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/1854/EO1H1820422014302110K2_SG1_01/save_xml", "displayId": "EO1H1820422014302110K2_SG1_01", "acquisitionDate": "2014-10-29", "browseUrl": "https://earthexplorer.usgs.gov/browse/eo-1/hyp/182/42/2014/EO11820422014302110K2_SG1_01.jpeg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "upperRightCoordinate": { "latitude": 26.240475, "longitude": 21.602509 }, "summary": "Entity ID: EO1H1820422014302110K2_SG1_01, Acquisition Date: 29-OCT-14, Target Path: 182, Target Row: 42", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/EO1_HYP_PUB/EO1H1820422014302110K2_SG1_01/INVSVC/", "lowerLeftCoordinate": { "latitude": 24.365584, "longitude": 21.074194 }, "modifiedDate": "2017-03-22", "startTime": "2014-10-29", "sceneBounds": "21.074194,24.352528,21.602509,26.253489", "ordered": false, "entityId": "EO1H1820422014302110K2_SG1_01", "endTime": "2014-10-29", "lowerRightCoordinate": { "latitude": 24.352528, "longitude": 21.145425 }, "bulkOrdered": false } ], "api_version": "1.2.1", "error": "" } $ usgs metadata --node EE LANDSAT_8 LC80290462015135LGN00 { "errorCode": null, "executionTime": 1.7327969074249, "data": [ { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/4923/LC80290462015135LGN00/", "upperLeftCoordinate": { "latitude": 21.27723, "longitude": -104.10944 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/4923/LC80290462015135LGN00/save_xml", "displayId": "LC80290462015135LGN00", "acquisitionDate": "2015-05-15", "browseUrl": "https://earthexplorer.usgs.gov/browse/landsat_8/2015/029/046/LC80290462015135LGN00.jpg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=LANDSAT_8&ordered=LC80290462015135LGN00&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=LANDSAT_8&ordered=LC80290462015135LGN00&node=INVSVC", "upperRightCoordinate": { "latitude": 20.90999, "longitude": -102.32534 }, "summary": "Entity ID: LC80290462015135LGN00, Acquisition Date: 15-MAY-15, Path: 29, Row: 46", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/LANDSAT_8/LC80290462015135LGN00/INVSVC/", "lowerLeftCoordinate": { "latitude": 19.54002, "longitude": -104.50364 }, "modifiedDate": "2017-02-07", "startTime": "2015-05-15", "sceneBounds": "-104.50364,19.17102,-102.32534,21.27723", "ordered": false, "entityId": "LC80290462015135LGN00", "endTime": "2015-05-15", "lowerRightCoordinate": { "latitude": 19.17102, "longitude": -102.73968 }, "bulkOrdered": false } ], "api_version": "1.2.1", "error": "" } Catalogs -------- USGS provides four catalogs, each containing various datasets. All requests made to the Inventory Service must have an associated node. Check each catalog for a list of datasets. +--------------+------------+----------------------------------+ | Catalog | Node Value | URI | +==============+============+==================================+ | :ref:`cwic` | CWIC | http://lsiexplorer.cr.usgs.gov | +--------------+------------+----------------------------------+ | :ref:`ee` | EE | http://earthexplorer.usgs.gov | +--------------+------------+----------------------------------+ | :ref:`hdds` | HDDS | http://hddsexplorer.usgs.gov | +--------------+------------+----------------------------------+ | :ref:`lpcs` | LPCS | http://lpcsexplorer.cr.usgs.gov | +--------------+------------+----------------------------------+ Contents: .. toctree:: :maxdepth: 2 reference/cli reference/api reference/payloads reference/catalog/cwic reference/catalog/ee reference/catalog/hdds reference/catalog/lpcs Indices and tables ================== * :ref:`genindex` * :ref:`modindex`././@PaxHeader0000000000000000000000000000003300000000000011451 xustar000000000000000027 mtime=1678473140.547322 usgs-0.3.5/docs/reference/0000755000076500000240000000000000000000000015444 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/api.rst0000644000076500000240000000161400000000000016751 0ustar00amitstaff00000000000000.. module:: usgs .. api: USGS API ============= Examples ******** The ``where`` parameter used for searching a USGS dataset is best understood by example. .. code-block:: python from usgs import api def submit_where_query(): # USGS uses numerical codes to identify queryable fields # To see which fields are queryable for a specific dataset, # send off a request to dataset-fields results = api.dataset_fields('LANDSAT_8_C1', 'EE') for field in results['data']: print field # WRS Path happens to have the field id 20514 where = { 20514: '043' } results = api.search('LANDSAT_8_C1', 'EE', where=where, start_date='2017-04-01', end_date='2017-05-01', max_results=10, extended=True) for scene in results['data']['results']: print scene .. automodule:: usgs.api :members:././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5556428 usgs-0.3.5/docs/reference/catalog/0000755000076500000240000000000000000000000017056 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/catalog/cwic.rst0000644000076500000240000010130300000000000020533 0ustar00amitstaff00000000000000.. _cwic: CWIC/LSI Explorer ================= +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Enhanced Thematic Mapper Plus Collection 1 Level-1 | LANDSAT_ETM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Algeria 3 | CALVAL_PIS_ALGERIA_3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Algeria 5 | CALVAL_PIS_ALGERIA_5 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Dome C, Antarctic | CALVAL_IS_DOME_C_ANT | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Dunhuang, China | CALVAL_IS_DUNHUANG_CHINA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Frenchman Flat, USA | CALVAL_IS_FRENCHMAN_FLAT | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Ivanpah Playa,USA | CALVAL_IS_IVANPAH_PLAYA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - La Crau, France | CALVAL_IS_LACRAU_FRANCE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Libya 1 | CALVAL_PIS_LIBYA_1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Libya 4 | CALVAL_PIS_LIBYA_4 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Mauritania 1 | CALVAL_PIS_MAURITANIA_1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Mauritania 2 | CALVAL_PIS_MAURITANIA_2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Negev, Southern Israel | CALVAL_IS_NEGEV_ISRAEL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Railroad Valley Playa, USA | CALVAL_IS_RAILROAD_VALLEY | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Tuz Golu, Turkey | CALVAL_IS_TUZGOLU_TURKEY | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Declass 1 (1996) = Corona, Lanyard, & Argon Missions - KH1 thru KH6: 1960 - 1972 | CORONA2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing-1 Advanced Land Imager: 2001-Present | EO1_ALI_PUB | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing-1 Hyperion: 2001-Present | EO1_HYP_PUB | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Elevation Derivatives for National Applications | EDNA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Bangladesh | FCT_TS_BANGLADESH | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Gabon | FCT_TS_GABON | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Republic of Congo | FCT_TS_REP_CONGO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Belize | FCT_TS_BELIZE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Bolivia | FCT_TS_BOLIVIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Borneo Island | FCT_TS_BORNEO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Brazil | FCT_TS_BRAZIL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Burma | FCT_TS_BURMA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Cambodia | FCT_TS_CAMBODIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Cameroon | FCT_TS_CAMEROON | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Colombia | FCT_TS_COLOMBIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Costa Rica | FCT_TS_COSTA_RICA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Dem Rep Congo | FCT_TS_DEM_REP_CONGO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Ecuador | FCT_TS_ECUADOR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Fiji | FCT_TS_FIJI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Guatemala | FCT_TS_GUATEMALA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Guyana | FCT_TS_GUYANA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Honduras | FCT_TS_HONDURAS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Laos | FCT_TS_LAOS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Malawi | FCT_TS_MALAWI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Mexico | FCT_TS_MEXICO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Nepal | FCT_TS_NEPAL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Nicaragua | FCT_TS_NICARAGUA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Panama | FCT_TS_PANAMA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Peru | FCT_TS_PERU | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Philippines | FCT_TS_PHILIPPINES | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Sumatra | FCT_TS_SUMATRA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Tanzania | FCT_TS_TANZANIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Tasmania Island | FCT_TS_TASMANIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Thailand | FCT_TS_THAILAND | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Vietnam | FCT_TS_VIETNAM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Zambia | FCT_TS_ZAMBIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Topographic 30 Arc-Second Digital Elevation Model: Released 1996 | GTOPO30 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Joint Experiment for Crop Assessment and Monitoring (JECAM - Canada - Red River) | FCT_TS_JECAM_CAN_RED_RIVER | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Joint Experiment for Crop Assessment and Monitoring (JECAM - Canada - South Nation) | FCT_TS_JECAM_CAN_SOUTH_NATION | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 1-5 Multispectral Scanner: 1972-2013 | LANDSAT_MSS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4 and 5 Thematic Mapper: 1982-2012 | LANDSAT_TM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 Thematic Mapper Collection 1 Level-1 | LANDSAT_TM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 8 Operational Land Imager and Thermal Infrared Sensor | LANDSAT_8 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission 1 Arc and 3 Arc Second Digital Terrain Elevation Data | SRTM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission 1 Arc-Second Digital Terrain Elevation Data - Global | SRTM_V3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Algeria | FCT_TS_ALGERIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Argentina | FCT_TS_ARGENTINA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Australia | FCT_TS_AUSTRALIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Ethiopia | FCT_TS_ETHIOPIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Pakistan | FCT_TS_PAKISTAN | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Russia | FCT_TS_RUSSIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Uganda | FCT_TS_UGANDA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Ukraine | FCT_TS_UKRAINE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/catalog/ee.rst0000644000076500000240000044031100000000000020204 0ustar00amitstaff00000000000000.. _ee: EarthExplorer ============= +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Enhanced Thematic Mapper Plus Collection 1 Level-1 | LANDSAT_ETM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASAS = NASA's Advanced Solid-state Array Spectroradiometer: 1988 -2000 | ASAS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASTER GLOBAL Digital Elevation Model V002 | ASTER_GLOBAL_DEM_DE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASTER Global Digital Elevation Model V002 | ASTER_GLOBAL_DEM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASTER Global Emissivity Data Set Monthly 0.05 degree V041 - AG5KMMOH | ASTER_GED_AG5KMMOH | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASTER Global Emissivity Dataset 1-kilometer V003 - AG1KM | ASTER_GED_AG1KM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | ASTER Global Emissivity Dataset 100-meter V003 - AG100 | ASTER_GED_AG100 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | AVHRR Composites = Advanced Very High Resolution Radiometer U.S. Alaska: 1989 - Present | AVHRR_COMPOSITE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | AVHRR Global 1K = Advanced Very High Resolution Radiometer Mosaics 1995 - 1996 | AVHRR_1K_GLOBAL_COMP | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | AVHRR Orbital Segment = NOAA's Advanced Very High Resolution Radiometer Files: 1992 - 2000 | AVHRR_ORBSEG | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Adopt a Pixel Photographs: 2013-Present | ADOPT_A_PIXEL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Advanced Very High Resolution Radiometer Phenology: 2001-Present | AVHRR_PHEN_METRICS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Aerial Photo Mosaics = Photo Indexes and Map-Line Plots: Pre 1990 | AERIAL_COMBIN_INDEX | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Aerial Photo Single Frames = Frame Level Records for Multiple Agencies: 1937-Present | AERIAL_COMBIN | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Aircraft Scanners = NASA Digital Aerial Scanners (TMS, TIMS, NS001): Pre 1996 | AIRCRAFT_SCANNERS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Antarctic Flight Line Maps = Map-Line Indexes of Antarctica Aerial Photos: Pre 1950 | AERIAL_USARC_INDEX | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Antarctic Single Frames = Frame Level Records of Antarctica Photos: 1946 - 2000 | AERIAL_USARC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Algeria 3 | CALVAL_PIS_ALGERIA_3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Algeria 5 | CALVAL_PIS_ALGERIA_5 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Dome C, Antarctic | CALVAL_IS_DOME_C_ANT | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Dunhuang, China | CALVAL_IS_DUNHUANG_CHINA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Frenchman Flat, USA | CALVAL_IS_FRENCHMAN_FLAT | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Ivanpah Playa,USA | CALVAL_IS_IVANPAH_PLAYA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - La Crau, France | CALVAL_IS_LACRAU_FRANCE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Libya 1 | CALVAL_PIS_LIBYA_1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Libya 4 | CALVAL_PIS_LIBYA_4 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Mauritania 1 | CALVAL_PIS_MAURITANIA_1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Mauritania 2 | CALVAL_PIS_MAURITANIA_2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Negev, Southern Israel | CALVAL_IS_NEGEV_ISRAEL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Railroad Valley Playa, USA | CALVAL_IS_RAILROAD_VALLEY | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Calibration Validation Reference Sites - Tuz Golu, Turkey | CALVAL_IS_TUZGOLU_TURKEY | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | DOQ = USGS Digital Orthophoto Quadrangle: 1975 - 2005 | DOQ_QQ | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Declass 1 (1996) = Corona, Lanyard, & Argon Missions - KH1 thru KH6: 1960 - 1972 | CORONA2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Declass 2 (2002) = KH-7 and KH-9 Global Camera Photos: 1963 - 1980 | DECLASSII | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Declass 3 (2013) = USGS Subset of Hexagon Missions - KH-9: 1971 - 1984 | DECLASSIII | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Digital Line Graph - 1:100,000 scale | DLG100K | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Digital Line Graph - Large Scale | DLG_LARGE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | EROS MODIS Land Surface Temperature: 2002-Present | EMODIS_GLOBAL_LST | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | EROS MODIS Normalized Difference Vegetation Index: 2001-Present | EMODIS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing 1 Advanced Land Imager (ALI): 2009-2010 | GLS2010_EO1_ISLANDS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing-1 Advanced Land Imager (ALI): 2004-2008 | GLS2005_EO1_ISLANDS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing-1 Advanced Land Imager: 2001-Present | EO1_ALI_PUB | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Earth Observing-1 Hyperion: 2001-Present | EO1_HYP_PUB | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Elevation Derivatives for National Applications | EDNA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | European Space Agency Sentinel-2 | SENTINEL_2A | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Bangladesh | FCT_TS_BANGLADESH | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Gabon | FCT_TS_GABON | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | GFOI - Republic of Congo | FCT_TS_REP_CONGO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global 30 sec Arc-Second Hydro-logic One Kilometer Elevation | GTOPO30_HYDRO_1K | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Belize | FCT_TS_BELIZE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Bolivia | FCT_TS_BOLIVIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Borneo Island | FCT_TS_BORNEO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Brazil | FCT_TS_BRAZIL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Burma | FCT_TS_BURMA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Cambodia | FCT_TS_CAMBODIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Cameroon | FCT_TS_CAMEROON | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Colombia | FCT_TS_COLOMBIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Costa Rica | FCT_TS_COSTA_RICA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Dem Rep Congo | FCT_TS_DEM_REP_CONGO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Ecuador | FCT_TS_ECUADOR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Fiji | FCT_TS_FIJI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Guatemala | FCT_TS_GUATEMALA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Guyana | FCT_TS_GUYANA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Honduras | FCT_TS_HONDURAS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Laos | FCT_TS_LAOS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Malawi | FCT_TS_MALAWI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Mexico | FCT_TS_MEXICO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Nepal | FCT_TS_NEPAL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Nicaragua | FCT_TS_NICARAGUA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Panama | FCT_TS_PANAMA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Peru | FCT_TS_PERU | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Philippines | FCT_TS_PHILIPPINES | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Sumatra | FCT_TS_SUMATRA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Tanzania | FCT_TS_TANZANIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Tasmania Island | FCT_TS_TASMANIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Thailand | FCT_TS_THAILAND | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Vietnam | FCT_TS_VIETNAM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Forest Observations Initiative - Zambia | FCT_TS_ZAMBIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Land Cover Characterization: 1992-1993 | GLCC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Land Survey; Landsat 7 ETM+ - Landsat Image Mosaic of Antarctica (1999-2006) | LIMA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Multi-Resolution Terrain Elevation Data | GMTED2010 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Global Topographic 30 Arc-Second Digital Elevation Model: Released 1996 | GTOPO30 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Heat Capacity Mapping Mission Digital Source: 1978-1980 | HCMM_ORIGINAL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Heat Capacity Mapping Mission: 1978-1980 | HCMM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | High Resolution Orthoimagery = Orthorectified Metro Areas: 2000 - Present | HIGH_RES_ORTHO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Interferometric Synthetic Aperture Radar (IFSAR) Alaska | IFSAR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Interferometric Synthetic Aperture Radar Orthorectified Radar Image Alaska: 2010-2012 | IFSAR_ORI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | International Space Station (ISS) SERVIR Environmental Research and Visualization System Photos: 2013-2014 | ISERV | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Joint Experiment for Crop Assessment and Monitoring (JECAM - Canada - Red River) | FCT_TS_JECAM_CAN_RED_RIVER | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Joint Experiment for Crop Assessment and Monitoring (JECAM - Canada - South Nation) | FCT_TS_JECAM_CAN_SOUTH_NATION | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Land Cover Trends Geotagged Photography: 1999-2007 | LAND_COVER_TREND_BLOCK | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 1-2 Return Beam Vidicon Film Only: 1972-1983 | RBV_FILM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 1-5 MSS: 1972-1987 | GLS1975 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 1-5 MultiSpectral Scanner Film Only: 1972-1992 | MSS_FILM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 1-5 Multispectral Scanner: 1972-2013 | LANDSAT_MSS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4 and 5 Thematic Mapper: 1982-2012 | LANDSAT_TM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 Collection 1 Higher-Level Scene Products (Surface Reflectance) | LSR_LANDSAT_TM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 TM: 1987-1997 | GLS1990 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 Thematic Mapper Collection 1 Level-1 | LANDSAT_TM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 Thematic Mapper Film Only: 1982-1988 | TM_FILM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Collection 1 Higher-Level Scene Products (Surface Reflectance) | LSR_LANDSAT_ETM_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 ETM+ and Landsat 5 TM: 1999-2003 | GLS2000 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 ETM+ and Landsat 5 TM: 2003-2008 | GLS2005 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 ETM+ and Landsat 5 TM: 2009-2011 | GLS2010 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Enhanced Thematic Mapper Plus Scan Line Corrector On: 1999-2003 | LANDSAT_ETM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Enhanced Thematic Mapper Plus Scan Line Corrector off: 2003-Present | LANDSAT_ETM_SLC_OFF | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 8 Operational Land Imager and Thermal Infrared Sensor | LANDSAT_8 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 1 Level-1 | LANDSAT_8_C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat 8 Operational Land Imager and Thermal Infrared Sensor Pre-WRS-2: 2013 | LANDSAT_8_PREWRS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Landsat Image Mosaics of Antarctica: 1999-2006 | LIMA_MOSAIC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Light Detection and Ranging Point Cloud Data: 2000 - Present | LIDAR_DE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MCD43A1: MODIS/Terra and Aqua BRDF/Albedo Model Parameters Daily L3 Global 500 m SIN Grid Version 6 | MODIS_MCD43A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MCD43A2: MODIS/Terra and Aqua BRDF/Albedo Quality Daily L3 Global 500 m SIN Grid Version 6 | MODIS_MCD43A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09A1 Surface Reflectance 8-Day L3 Global 500m | MODIS_MYD09A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09A1 Surface Reflectance 8-Day L3 Global 500m Version 6 | MODIS_MYD09A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG | MODIS_MYD09CMG | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG Version 6 | MODIS_MYD09CMG_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09GA Surface Reflectance Daily L2G Global 1km and 500m | MODIS_MYD09GA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09GA Surface Reflectance Daily L2G Global 1km and 500m Version 6 | MODIS_MYD09GA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09GQ Surface Reflectance Daily L2G Global 250m | MODIS_MYD09GQ | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09GQ Surface Reflectance Daily L2G Global 250m Version 6 | MODIS_MYD09GQ_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09Q1 Surface Reflectance 8-Day L3 Global 250m | MODIS_MYD09Q1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD09Q1 Surface Reflectance 8-Day L3 Global 250m Version 6 | MODIS_MYD09Q1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A1 Vegetation Indices 16-Day L3 Global 500m | MODIS_MYD13A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A1 Vegetation Indices 16-Day L3 Global 500m Version 6 | MODIS_MYD13A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A2 Vegetation Indices 16-Day L3 Global 1km | MODIS_MYD13A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A2 Vegetation Indices 16-Day L3 Global 1km Version 6 | MODIS_MYD13A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A3 Vegetation Indices Monthly L3 Global 1km | MODIS_MYD13A3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13A3 Vegetation Indices Monthly L3 Global 1km Version 6 | MODIS_MYD13A3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG | MODIS_MYD13C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG Version 6 | MODIS_MYD13C1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13C2 Vegetation Indices Monthly L3 Global 0.05Deg CMG | MODIS_MYD13C2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13C2 Vegetation Indices Monthly L3 Global 0.05Deg CMG Version 6 | MODIS_MYD13C2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13Q1 Vegetation Indices 16-Day L3 Global 250m | MODIS_MYD13Q1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD13Q1 Vegetation Indices 16-Day L3 Global 250m Version 6 | MODIS_MYD13Q1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km | MODIS_MYD14 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km Version 6 | MODIS_MYD14_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14A1 Thermal Anomalies & Fire Daily L3 Global 1km | MODIS_MYD14A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14A1 Thermal Anomalies & Fire Daily L3 Global 1km Version 6 | MODIS_MYD14A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14A2 Thermal Anomalies & Fire 8-Day L3 Global 1km | MODIS_MYD14A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD14A2 Thermal Anomalies & Fire 8-Day L3 Global 1km Version 6 | MODIS_MYD14A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD15A2 Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 1km | MODIS_MYD15A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6 | MODIS_MYD15A2H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD17A2 Gross Primary Productivity 8-Day L4 Global 1km | MODIS_MYD17A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6 | MODIS_MYD17A2H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/AQUA MYD17A3H Net Primary Production Yearly L4 Global 500m SIN Grid Version 6 | MODIS_MYD17A3H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MOD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG | MODIS_MOD11C2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN Version 6 | MODIS_MYD11A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km Gird SIN Version 6 | MODIS_MYD11A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km Grid SIN | MODIS_MYD11A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN | MODIS_MYD11B1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MYD11B1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG | MODIS_MYD11C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG Version 6 | MODIS_MYD11C1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG | MODIS_MYD11C2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG Version 6 | MODIS_MYD11C2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C3 Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG | MODIS_MYD11C3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11C3 Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG Version 6 | MODIS_MYD11C3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km | MODIS_MYD11_L2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km Version 6 | MODIS_MYD11_L2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD12C1 Land Cover Type Yearly L3 Global 0.05Deg CMG | MODIS_MCD12C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD12Q2 Land Cover Dynamics Yearly L3 Global 500 m SIN Grid | MODIS_MCD12Q2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD15A2 Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 1km | MODIS_MCD15A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6| MODIS_MCD15A2H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD15A3 Leaf Area Index - Fraction of Photosynthetically Active Radiation 4-Day L4 Global1km | MODIS_MCD15A3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD15A3H Leaf Area Index - Fraction of Photosynthetically Active Radiation 4-Day L4 Global 500 m Version 6| MODIS_MCD15A3H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43A1 BRDF-Albedo Model Parameters 16-Day L3 Global 500m | MODIS_MCD43A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43A2 BRDF-Albedo Quality 16-Day L3 Global 500m | MODIS_MCD43A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43A3 Albedo 16-Day L3 Global 500m | MODIS_MCD43A3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43A4 Nadir BRDF-Adjusted Reflectance 16-Day L3 Global 500m | MODIS_MCD43A4 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43B1 BRDF-Albedo Model 16-Day L3 Global 1km | MODIS_MCD43B1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43B2 BRDF-Albedo Quality 16-Day L3 Global 1km | MODIS_MCD43B2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43B3 Albedo 16-Day L3 Global 1km | MODIS_MCD43B3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43B4 Nadir BRDF-Adjusted Reflectance Reflectance 16-Day L3 Global 1km | MODIS_MCD43B4 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43C1 BRDF-Albedo Model Parameters 16-Day L3 0.05Deg CMG | MODIS_MCD43C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43C2 BRDF-Albedo Snow-Free Quality 16-Day L3 Global 0.05Deg CMG | MODIS_MCD43C2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43C3 Albedo 16-Day L3 Global 0.05Deg CMG | MODIS_MCD43C3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD43C4 Nadir BRDF- Adjusted Reflectance 16-Day L3 0.05Deg CMG | MODIS_MCD43C4 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MOD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN Version 6 | MODIS_MOD11A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MCD45A1 Burned Area Monthly L3 Global 500m | MODIS_MCD45A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09A1 Surface Reflectance 8-Day L3 Global 500m | MODIS_MOD09A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09A1 Surface Reflectance 8-Day L3 Global 500m Version 6 | MODIS_MOD09A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG | MODIS_MOD09CMG | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG Version 6 | MODIS_MOD09CMG_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09GA Surface Reflectance Daily L2G Global 1km and 500m | MODIS_MOD09GA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09GA Surface Reflectance Daily L2G Global 1km and 500m Version 6 | MODIS_MOD09GA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09GQ Surface Reflectance Daily L2G Global 250m | MODIS_MOD09GQ | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09GQ Surface Reflectance Daily L2G Global 250m Version 6 | MODIS_MOD09GQ_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09Q1 Surface Reflectance 8-Day L3 Global 250m | MODIS_MOD09Q1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD09Q1 Surface Reflectance 8-Day L3 Global 250m Version 6 | MODIS_MOD09Q1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km | MODIS_MOD11A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km Version 6 | MODIS_MOD11A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN | MODIS_MOD11B1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MOD11B1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11B2 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MOD11B2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11B3 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MOD11B3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG | MODIS_MOD11C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG Version 6 | MODIS_MOD11C1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG Version 6 | MODIS_MOD11C2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11C3 Land Surface Temperature and Emissivity Monthly L3 Global 0.05Deg CMG | MODIS_MOD11C3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11C3 Land Surface Temperature and Emissivity Monthly L3 Global 0.05Deg CMG Version 6 | MODIS_MOD11C3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km | MODIS_MOD11_L2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km Version 6 | MODIS_MOD11_L2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A1 Vegetation Indices 16-Day L3 Global 500m | MODIS_MOD13A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A1 Vegetation Indices 16-Day L3 Global 500m Version 6 | MODIS_MOD13A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A2 Vegetation Indices 16-Day L3 Global 1km | MODIS_MOD13A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A2 Vegetation Indices 16-Day L3 Global 1km Version 6 | MODIS_MOD13A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A3 Vegetation Indices Monthly L3 Global 1km | MODIS_MOD13A3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13A3 Vegetation Indices Monthly L3 Global 1km Version 6 | MODIS_MOD13A3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG | MODIS_MOD13C1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG Version 6 | MODIS_MOD13C1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13C1 Vegetation Indices Monthly L3 Global 0.05Deg CMG | MODIS_MOD13C2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13C2 Vegetation Indices Monthly L3 Global 0.05Deg CMG Version 6 | MODIS_MOD13C2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13Q1 Vegetation Indices 16-Day L3 Global 250m | MODIS_MOD13Q1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD13Q1 Vegetation Indices 16-Day L3 Global 250m Version 6 | MODIS_MOD13Q1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km | MODIS_MOD14 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km Version 6 | MODIS_MOD14_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14A1 Thermal Anomalies & Fire Daily L3 Global 1km | MODIS_MOD14A1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14A1 Thermal Anomalies & Fire Daily L3 Global 1km Version 6 | MODIS_MOD14A1_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14A2 Thermal Anomalies & Fire 8-Day L3 Global 1km | MODIS_MOD14A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD14A2 Thermal Anomalies & Fire 8-Day L3 Global 1km Version 6 | MODIS_MOD14A2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD15A2 Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 1km | MODIS_MOD15A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6 | MODIS_MOD15A2H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD17A2 Gross Primary Productivity 8-Day L4 Global 1km | MODIS_MOD17A2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6 | MODIS_MOD17A2H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD17A3 Net Primary Production Yearly L4 Global 1km | MODIS_MOD17A3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD17A3H Net Primary Production Yearly L4 Global 500 m SIN Grid Version 6 | MODIS_MOD17A3H_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD44A Vegetation Indices | MODIS_MOD44A | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD44B Vegetation Continuous Fields Yearly L3 Global 250m | MODIS_MOD44B | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MOD44W Land Water Mask Derived from MODIS and SRTM L3 Global 250m SIN Grid | MODIS_MOD44W | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MYD11B2 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MYD11B2_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODIS/TERRA MYD11B3 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6 | MODIS_MYD11B3_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODOCGA: MODIS/Terra Ocean Reflectance Daily L2G-Lite Global 1 km SIN Grid Version 6 | MODIS_MODOCGA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MODTBGA: MODIS/Terra Thermal Bands Daily L2G Global 1 km SIN Grid Version 6 | MODIS_MODTBGA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MYDOCGA: MODIS/Aqua Ocean Reflectance Daily L2G-Lite Global 1 km SIN Grid Version 6 | MODIS_MYDOCGA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | MYDTBGA: MODIS/AQUA Thermal Bands Daily L2G Global 1 km SIN Grid Version 6 | MODIS_MYDTBGA_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NAIP = USDA FSA National Agricultural Imagery Program: 2003 - Present | NAIP_COMPRESSED | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NAPP = National Aerial Photography Program 1:40,000 Scale: 1987 - 2007 | NAPP | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA ASTER Level 1T | ASTER_L1T | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Shuttle Radar Topography Mission (SRTM3) Global 1 arc-second | SRTM_V3_SRTMGL1 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Shuttle Radar Topography Mission (SRTM3) Global 3 arc-second | SRTM_V3_SRTMGL3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Shuttle Radar Topography Mission (SRTM3) Global 3 arc-second sub-sampled | SRTM_V3_SRTMGL3S | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Shuttle Radar Topography Mission (SRTM3) Global 30 arc-second | SRTM_V3_SRTMGL30 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Shuttle Radar Topography Mission (SRTM3) Water Body Shapefiles and Raster Files | SRTM_V3_SRTMSWBD | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data - Land Cover Land Use Change (LCLUC) | WELD_LCLUC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data Alaska 30m Composites Pixel Center Lat/Longs | WELDAKLL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data Alaska 30m Composites over Annual Periods | WELDAKYR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data Alaska 30m Composites over Monthly Periods | WELDAKMO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data Alaska 30m Composites over Seasonal Periods | WELDAKSE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data Alaska 30m Composites over Weekly Periods | WELDAKWK | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data CONUS 30m Composites Pixel Center Lat/Longs | WELDUSLL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data CONUS 30m Composites over Annual Periods | WELDUSYR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data CONUS 30m Composites over Monthly Periods | WELDUSMO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data CONUS 30m Composites over Seasonal Periods | WELDUSSE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NASA Web-Enabled Landsat Data CONUS 30m Composites over Weekly Periods | WELDUSWK | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NHAP = National High-Altitude Aerial Photography: 1980 - 1989 | NHAP | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | NOAA Climate Data Record Normalized Difference Vegetation Index: 1981-2013 | NOAA_CDR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | National Agriculture Imagery Program | NAIP_FULL_RES | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | National Atlas of the United States | NATIONALATLAS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | OrbView-3 Level 1B | ORBVIEW3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | PAO Image Gallery = Public Affairs Photos of EROS Projects: 1972 - 2005 | PAO_EE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Publicly Available IKONOS-2 Commercial Imagery | NON_COMMERCIAL_ORDERABLE_IK | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | SD NRCS Section Photos = USDA/FSA Eastern SD Aerial Photos: 1979 - 2003 | NRCS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | SLAR = USGS Side Looking Airborne Radar Mosaics: 1981 - 1990 | SLAR | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | SPOT Controlled Image Base 10 meter | SPOT_CIB | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | SPOT satellite imagery collected over North America areas between 1986 and 1998 | SPOT | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Imaging Radar Survey Mission C | SIRC_SURVEY | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission 1 Arc and 3 Arc Second Digital Terrain Elevation Data | SRTM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission 1 Arc and 3 Arc Second Digital Terrain Elevation Data - Void Filled | SRTM_V2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission 1 Arc-Second Digital Terrain Elevation Data - Global | SRTM_V3 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Shuttle Radar Topography Mission Water Body Data | SRTM_WATER_BODIES | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Space Acquired Photo = Gemini, Skylab, Shuttle Large Format Camera: 1965 - 1984 | AIR_SPACE_ACQUIRED | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Spaceborne Imaging Radar C-band: 1994 | SIRC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified ETM+ Pan-Sharpened Mosaics: 1999-2003 | ORTHO_MOSAIC_ETM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified ETM+ Single Scene: 1999-2003 | ESAT_ETM_NOPAN | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified ETM+ Systematically Corrected: 1999-2003 | SYS_ETM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified Enhanced ETM+ Pan-sharpened Single Scene: 1999-2003 | ESAT_ETM_PAN | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified MSS 1-5 Single Scene: 1972-1987 | ORTHO_MSS_SCENE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified TM Mosaics: 1984-1997 | ORTHO_MOSAIC | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Tri-Decadal Global Landsat Orthorectified TM Single Scene: 1984-1997 | ESAT_TM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Global Fiducials Library: 1999-2009 | GLOBAL_FIDUCIAL | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Algeria | FCT_TS_ALGERIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Argentina | FCT_TS_ARGENTINA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Australia | FCT_TS_AUSTRALIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Ethiopia | FCT_TS_ETHIOPIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Pakistan | FCT_TS_PAKISTAN | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Russia | FCT_TS_RUSSIA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Uganda | FCT_TS_UGANDA | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) - Ukraine | FCT_TS_UKRAINE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Unmanned Aircraft Systems - Digital Elevation Model | UAS_DEM | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Unmanned Aircraft Systems - Orthoimagery | UAS_ORTHO | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Unmanned Aircraft Systems - Point Cloud Data | UAS_POINT_CLOUD | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Unmanned Aircraft Systems - Raw Photography | UAS_RAW | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Drought Response Index: 2010-Present | VEGDRI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Phenology EVI2 Yearly Global 0.05Deg CMG | MEASURES_VIP_VIPPHEN_EVI2 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Phenology NDVI Yearly Global 0.05Deg CMG | MEASURES_VIP_VIPPHEN_NDVI | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Vegetation Indices 15Days Global 0.05Deg CMG | MEASURES_VIP_VIP15 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Vegetation Indices 7Days Global 0.05Deg CMG | MEASURES_VIP_VIP07 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Vegetation Indices Daily Global 0.05Deg CMG | MEASURES_VIP_VIP01 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Vegetation Index and Phenology (VIP) Vegetation Indices Monthly Global 0.05Deg CMG | MEASURES_VIP_VIP30 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | eMODIS Global Land Surface Temperature Version 6 | EMODIS_GLOBAL_LST_V6 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | eMODIS Phenology: 2001-Present | EMODIS_PHEN_METRICS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/catalog/hdds.rst0000644000076500000240000164744100000000000020553 0ustar00amitstaff00000000000000.. _hdds: HDDSExplorer ============ +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 121301_Floods_Indonesia | EVENT855 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 2007_Hurricane_Humberto | EVENT28 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200806_Floods_Midwest | EVENT207 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200809_Hurricane_Ike | EVENT303 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200901_Blizzard_KY | EVENT326 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200902_Volcano_Mt_Redoubt | EVENT323 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200903_RedRiver_Flooding | EVENT331 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200905_California_Fires | EVENT336 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200908_California_Fires | EVENT343 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200908_Hurricane_Felicia | EVENT341 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200908_Hurricane_Test | EVENT340 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200909_Flooding_GA | EVENT354 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200909_Indonesia_Earthquake | EVENT356 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200909_Samoa_Tsunami | EVENT355 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200911_Floods_ElSalvador | EVENT363 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200911_Floods_LA | EVENT360 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 200911_Floods_MidAtlantic | EVENT364 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 2009_Howard_Hanson_Dam_WA | EVENT357 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201001_Earthquake_Haiti | EVENT488 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201002_Earthquake_Chile | EVENT499 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201003_Floods_UpperMidwest | EVENT501 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201004_Earthquake_China | EVENT512 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201004_Earthquake_Mexico | EVENT508 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201004_Floods_Northeast | EVENT503 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201004_Oilspill_GulfOfMexico | EVENT514 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201005_Floods_Southeast | EVENT515 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201006_Fires_AZ | EVENT519 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201007_Fires_CA | EVENT603 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201007_Fires_WA | EVENT602 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201007_Floods_MX_TX | EVENT601 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201007_Floods_Pakistan | EVENT604 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201008_Hurricane_Earl | EVENT608 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Earthquake_New_Zealand | EVENT614 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Fires_CO | EVENT615 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Floods_MN | EVENT618 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Floods_Slovenia | EVENT616 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Floods_WI | EVENT617 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201009_Hurricane_Igor | EVENT619 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201010_Floods_Thailand | EVENT623 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201010_NRDA | EVENT622 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201010_NRDA_Chandeleur_Islands | EVENT832 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201010_Tsunami_Indonesia | EVENT624 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201010_Volcano_Indonesia | EVENT625 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201011_Hurricane_Tomas | EVENT626 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201012_Fire_Israel | EVENT632 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201012_Floods_Colombia | EVENT631 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201012_Floods_Panama | EVENT633 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201101_Earthquake_Pakistan | EVENT642 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201101_Floods_Australia | EVENT638 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201101_Floods_Brazil | EVENT641 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201101_NRDA | EVENT640 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201101_Tornadoes_MO | EVENT639 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Cyclone_Yasi | EVENT643 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Earthquake_New_Zealand | EVENT648 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Floods_Mozambique | EVENT644 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Landslide_Bolivia | EVENT652 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Landslide_Turkey | EVENT645 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201102_Snowstorm_Korea | EVENT646 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201103_Earthquake_Tsunami_Japan | EVENT649 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201103_Tsunami_WestCoast_US | EVENT653 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201104_Fires_MX_TX | EVENT658 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201104_Floods_Central_US | EVENT659 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201104_Floods_Midwest_US | EVENT655 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201104_Floods_Namibia | EVENT657 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201104_Tornadoes_Southeast_US | EVENT660 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201105_Fires_Canada | EVENT662 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201105_Tornadoes_AR | EVENT665 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201105_Tornadoes_MO | EVENT663 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201105_Tornadoes_Minneapolis_MN | EVENT664 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201105_Tornadoes_OK | EVENT666 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Fires_AZ_CO_NM | EVENT673 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Fires_FL | EVENT679 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Floods_MissouriRiver_US | EVENT671 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Floods_ND | EVENT692 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Floods_Northeast_US_CA | EVENT668 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Tornadoes_CT_MA | EVENT674 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201106_Volcano_Chile | EVENT677 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201107_Floods_South_Korea | EVENT697 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201107_NRDA | EVENT696 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201108_Earthquake_East_Coast_US | EVENT721 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201108_Floods_Nigeria | EVENT716 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201108_Hurricane_Irene | EVENT705 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201108_Hurricane_Irene_Charter | EVENT713 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201109_Earthquake_India | EVENT726 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201109_Fires_MN | EVENT727 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201109_Fires_Texas | EVENT722 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201109_Typhoon_Japan | EVENT724 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201110_Earthquake_Turkey | EVENT734 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201110_Floods_Algeria | EVENT731 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201110_Floods_Thailand | EVENT735 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201110_Oilspill_New_Zealand | EVENT732 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201110_Volcano_AK | EVENT733 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201111_Fires_Reno | EVENT740 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201111_Storm_AK | EVENT739 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201112_Fires_Chile | EVENT743 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201112_NRDA | EVENT742 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 2011_AITWG_Imagery | EVENT699 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 2011_NLE | EVENT650 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201201_Fire_NV | EVENT745 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201201_Floods_Brazil | EVENT744 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Cyclone_Giovanna | EVENT751 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Floods_Algeria | EVENT756 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Floods_Peru | EVENT752 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_GasExplosion_AK | EVENT754 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Landslide_AK | EVENT748 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_NRDA_BigBend_FL | EVENT750 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Tornadoes_Central_US | EVENT755 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201202_Volcano_Semeru | EVENT753 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201203_Cyclone_Irina | EVENT757 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_Fires_CO | EVENT758 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_Fires_VA | EVENT760 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_NRDA_Louisiana | EVENT765 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_Tornadoes_Central_US | EVENT761 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_Tornadoes_TX | EVENT759 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201204_VMOC_Demo | EVENT762 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Fires_AZ | EVENT768 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Fires_CO | EVENT769 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Fires_NM | EVENT771 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Fires_NV | EVENT772 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Fires_TX | EVENT767 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Floods_China | EVENT766 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201205_Snowmelt_AK | EVENT770 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Fires_AZ | EVENT775 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Fires_CO | EVENT773 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Fires_NM | EVENT780 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Fires_WY | EVENT779 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Floods_MN | EVENT776 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_TropicalStorm_Debby | EVENT777 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201206_Volcano_Guatemala | EVENT774 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_DNC | EVENT788 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Fires_MT | EVENT783 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Fires_NE | EVENT790 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Fires_OR | EVENT789 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Fires_SD | EVENT791 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Fires_UT | EVENT785 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Floods_India | EVENT781 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Floods_Russia | EVENT784 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_NRDA | EVENT787 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201207_Training_CAP | EVENT786 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Exercise_CA | EVENT792 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Fires_Algeria | EVENT798 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Fires_CA | EVENT794 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Fires_ID | EVENT795 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Fires_NV | EVENT796 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Fires_OK | EVENT797 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Floods_Niger | EVENT819 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Floods_Nigeria | EVENT821 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Floods_Philippines | EVENT793 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Floods_Senegal | EVENT818 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201208_Hurricane_Isaac | EVENT810 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Earthquake_China | EVENT823 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Fires_Equador | EVENT826 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Fires_WA | EVENT829 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Floods_Cameroon | EVENT824 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Floods_Pakistan | EVENT827 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Floods_South_Sudan | EVENT828 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Landslide_India | EVENT825 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201209_Seep_LA | EVENT822 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201210_Floods_Chad | EVENT831 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201210_Floods_Nigeria | EVENT830 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201210_Hurricane_Sandy | EVENT835 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201210_Hurricane_Sandy_Haiti | EVENT847 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201210_Oilspill_GulfOfMexico | EVENT833 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201211_Earthquake_Guatemala | EVENT848 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201211_Floods_UK | EVENT849 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201212_Cyclone_Evan | EVENT852 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201212_Typhoon_Bopha | EVENT850 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201212_Typhoon_Bopha_Philippines | EVENT851 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201301_Floods_Israel | EVENT853 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201301_Floods_Mozambique | EVENT854 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201301_Tornado_IN | EVENT856 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_Cyclone_Haruna | EVENT885 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_Floods_Seychelles | EVENT857 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_SnowStorm_Nemo | EVENT860 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_Tornadoes_Central_US | EVENT858 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_Tornadoes_GA | EVENT863 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201302_Tornadoes_MS | EVENT861 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201303_Fires_FL | EVENT887 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201304_Earthquake_China | EVENT894 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201304_Explosion_TX | EVENT895 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201304_Floods_Central_US | EVENT892 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201304_Floods_MN_ND | EVENT888 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201304_Tornadoes_MO | EVENT893 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201305_Exercise_Ardent_Sentry | EVENT897 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201305_Fires_CA | EVENT896 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201305_Tornadoes_OK | EVENT900 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Fires_AK | EVENT909 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Fires_CO | EVENT905 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Fires_NM | EVENT901 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Floods_India | EVENT907 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Tornadoes_IA | EVENT906 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Tornadoes_KS | EVENT908 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Tornadoes_MO | EVENT904 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201306_Volcano_Capahue | EVENT903 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Debris_Flow_CO | EVENT915 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Earthquake_China | EVENT920 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Explosion_CAN | EVENT913 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Explosion_GulfOfMexico | EVENT921 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_AK | EVENT912 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_AZ | EVENT910 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_CA | EVENT917 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_ID | EVENT919 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_MT | EVENT918 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Fires_WA | EVENT926 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Floods_Argentina | EVENT911 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Floods_Japan | EVENT922 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201307_Tornadoes_KY | EVENT916 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Exercise_Vibrant_Response_13 | EVENT928 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Fires_AK | EVENT929 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Fires_CA | EVENT933 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Fires_OR | EVENT925 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Fires_UT | EVENT924 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_China | EVENT930 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_Myanmar | EVENT923 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_Pakistan | EVENT934 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_Phillippines | EVENT931 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_Senegal | EVENT932 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201308_Floods_Sudan | EVENT927 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Earthquake_Pakistan | EVENT944 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Fires_Argentina | EVENT937 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Fires_MT | EVENT935 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Floods_CO | EVENT938 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Floods_CO_Charter | EVENT939 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Floods_NE | EVENT942 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Floods_NM | EVENT940 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Floods_Russia | EVENT936 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201309_Volcano_Peru | EVENT943 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Cyclone_Phailin | EVENT945 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Earthquake_Philippines | EVENT946 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Fires_Australia | EVENT950 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Fires_CA | EVENT948 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Floods_Cambodia | EVENT952 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Landslide_Japan | EVENT947 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Tornados_Midwest | EVENT949 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201310_Typhoon_Nari | EVENT951 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201311_Floods_Oman | EVENT961 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201311_Floods_TX | EVENT954 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201311_Tornadoes_Midwest | EVENT960 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201311_Typhoon_Haiyan | EVENT956 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201311_Volcano_Indonesia | EVENT955 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201312_Fires_CA | EVENT964 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201312_Floods_Gaza | EVENT963 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201312_Floods_UK | EVENT962 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201401_Cyclone_Bejisa | EVENT965 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201401_Floods_UK | EVENT966 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201401_Landslide_Peru | EVENT967 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Fires_India | EVENT968 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Floods_Bolivia | EVENT973 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Floods_Burundi | EVENT972 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Floods_UK | EVENT969 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Floods_Zimbabwe | EVENT970 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Snowstorm_Korea | EVENT971 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201402_Volcano_Mt_Kelud_IDN | EVENT974 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201403_Airplane_MH370_Malaysia | EVENT975 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201403_Exercise_NEP_Capstone | EVENT980 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201403_Floods_Brazil | EVENT977 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201403_IceStorm_Southeast_US | EVENT976 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201403_Landslide_WA | EVENT979 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Cyclone_Ita_AUS | EVENT982 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Exercise_Vigilant_Guard_NM | EVENT987 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Fires_AZ | EVENT985 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Fires_Chile | EVENT983 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Floods_Afghanistan | EVENT990 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Floods_Solomon_Islands | EVENT981 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Landslide_Tajikistan | EVENT984 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Tornadoes_AL | EVENT989 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Tornadoes_AR | EVENT986 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Tornadoes_LA | EVENT991 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201404_Tornadoes_MS | EVENT988 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Execise_Vigilant_Guard_PA | EVENT993 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Fires_AK | EVENT997 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Fires_AZ | EVENT999 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Fires_CA | EVENT995 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Fires_OK | EVENT994 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Floods_Bosnia | EVENT996 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Floods_Florida | EVENT992 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Floods_Serbia | EVENT998 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201405_Landslide_CO | EVENT1000 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201406_Fires_CA | EVENT1004 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201406_Floods_Paraguay | EVENT1018 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201406_Storms_Midwest_US | EVENT1005 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Fires_CA | EVENT1026 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Fires_DOM | EVENT1030 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Fires_NM | EVENT1011 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Fires_OR | EVENT1028 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Fires_WA | EVENT1027 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Floods_Brazil | EVENT1016 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Tornadoes_WI | EVENT1017 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201407_Typhoon_Rammasun_CHN | EVENT1029 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Earthquake_CA | EVENT1040 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Earthquake_China | EVENT1031 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Fires_NE | EVENT1033 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Floods_Bangladesh | EVENT1038 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Floods_India | EVENT1037 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Floods_Panama | EVENT1036 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Floods_Sudan | EVENT1034 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Landslide_Nepal | EVENT1032 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Landslide_WA | EVENT1039 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201408_Storms_HI | EVENT1035 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201409_Fires_CA | EVENT1043 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201409_Floods_France | EVENT1044 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201409_Floods_Pakistan | EVENT1042 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201409_Volcano_Kilauea_HI | EVENT1041 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Ebola_Africa | EVENT1051 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Exercise_UAS_CO | EVENT1056 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Hurricane_Gonzalo | EVENT1053 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Landslide_SriLanka | EVENT1057 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Tropical_Storm_Ana_Hawaii | EVENT1055 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201410_Typhoon_HudHud_India | EVENT1052 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201411_Storm_NY | EVENT1059 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201412_Landslide_Indonesia | EVENT1061 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201412_Typhoon_Hagupit_PHL | EVENT1060 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201501_Floods_Malawi | EVENT1064 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201501_Floods_SriLanka | EVENT1065 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201501_Storms_Malawi | EVENT1062 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201501_Storms_Northeast_US | EVENT1068 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201501_Volcano_Soputan_IDN | EVENT1063 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201502_Cyclone_AUS | EVENT1072 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201502_Flood_Bolivia | EVENT1074 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201502_Flood_Brazil | EVENT1076 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201502_Landslide_Afghanistan | EVENT1075 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201502_Storm_GA | EVENT1073 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Cyclone_Pam_VUT | EVENT1079 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Exercise_Vigilant_Guard_SC | EVENT1078 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Fire_CHL | EVENT1081 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Flood_CHL | EVENT1083 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Flood_IND | EVENT1084 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Oilspill_VNM | EVENT1082 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Volcano_Turrialba_CRI | EVENT1080 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201503_Volcano_Villarrica_CHL | EVENT1077 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Drought_CA | EVENT1086 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Earthquake_NPL | EVENT1091 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Fire_SD | EVENT1085 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Oilspill_MEX | EVENT1087 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Storm_KS | EVENT1088 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Storms_Midwest_US | EVENT1089 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201504_Volcano_Calbuco_CHL | EVENT1090 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Exercise_ArdentSentry | EVENT1093 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Flood_TX | EVENT1095 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Landslide_COL | EVENT1097 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Oilspill_CA | EVENT1099 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Tornado_Midwest_US | EVENT1094 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201505_Typhoon_Dolphin_GUM | EVENT1096 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Debris_MI | EVENT1105 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Exercise_Vigilant_Guard_HI | EVENT1101 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Fire_AK | EVENT1103 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Fire_AZ | EVENT1107 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Fire_CA | EVENT1104 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Flood_BRA | EVENT1102 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Flood_Eastern_US | EVENT1108 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201506_Storm_Midwest_US | EVENT1106 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Exercise_Patriot_WI | EVENT1114 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Exercise_Southern_Exposure_SC | EVENT1112 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Fire_MT | EVENT1115 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Fire_OR | EVENT1110 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Flood_Eastern_US | EVENT1111 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Storm_Eastern_US | EVENT1113 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Volcano_Cotopaxi_ECU | EVENT1109 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201507_Volcano_KickEmJenny_GRD | EVENT1116 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_AK | EVENT1137 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_CA | EVENT1117 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_ID | EVENT1122 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_OR | EVENT1127 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_RUS | EVENT1126 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Fire_WA | EVENT1125 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Flood_CHL | EVENT1119 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Flood_TUR | EVENT1134 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Hurricane_Danny | EVENT1132 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Hurricane_Erika_PRI | EVENT1136 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Landslide_AK | EVENT1128 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Landslide_VNM | EVENT1121 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Spill_CO | EVENT1130 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Storm_MI | EVENT1118 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Storm_MN | EVENT1123 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Tornado_Midwest_US | EVENT1120 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201508_Typhoon_Goni_MNP | EVENT1131 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Earthquake_CHL | EVENT1144 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Fire_CA | EVENT1139 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Fire_ID | EVENT1140 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Fire_NE | EVENT1143 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Fire_WA | EVENT1141 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Flood_BGD | EVENT1142 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201509_Landslide_MMR | EVENT1138 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Earthquake_AFG | EVENT1151 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Fire_CA | EVENT1152 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Flood_AK | EVENT1149 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Hurricane_Joaquin | EVENT1146 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Hurricane_Joaquin_BHS | EVENT1147 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Landslide_GTM | EVENT1148 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201510_Tornado_IA | EVENT1150 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Airplane_RUS | EVENT1153 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Cyclone_Chapala_YEM | EVENT1154 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Flood_IRQ | EVENT1157 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Spill_BRA | EVENT1155 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Tornado_Central_US | EVENT1159 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Tornado_FL | EVENT1158 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201511_Tornado_IA | EVENT1156 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Earthquake_TJK | EVENT1161 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Flood_ARG | EVENT1165 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Flood_IND | EVENT1160 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Flood_Midwest_US | EVENT1166 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Flood_Midwest_US_Charter | EVENT1168 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Storm_WA | EVENT1162 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Tornado_Central_US | EVENT1167 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201512_Tornado_MS | EVENT1163 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201602_Cyclone_Winston_FJI | EVENT1170 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201602_Earthquake_TWN | EVENT1169 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201602_Tornado_Eastern_US | EVENT1172 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201603_Exercise_EMD_SC | EVENT1182 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201603_Flood_Southern_US | EVENT1181 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201603_Tornado_Midwest_US | EVENT1190 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Earthquake_ECU | EVENT1229 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Earthquake_JPN | EVENT1226 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Fire_Eastern_US | EVENT1222 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Fire_Midwest_US | EVENT1219 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Fire_PAN | EVENT1230 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Fire_US | EVENT1223 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Flood_Southern_US | EVENT1240 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201604_Tornado_US | EVENT1237 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Cyclone_Roanu_BGD | EVENT1244 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Fire_CAN | EVENT1238 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Oilspill_GOM | EVENT1241 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Oilspill_NWHI | EVENT1239 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Search_Rescue_CA | EVENT1243 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201605_Tornado_US | EVENT1242 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Airplane_F16_GA | EVENT1248 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Exercise_Cascadia_Rising | EVENT1247 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Fire_US | EVENT1249 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Flood_CHN | EVENT1250 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Flood_Southern_US | EVENT1246 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Flood_US | EVENT1252 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Tornado_CHN | EVENT1251 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201606_Tornado_US | EVENT1245 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201607_Fire_RUS | EVENT1253 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201607_Fire_US | EVENT1256 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201607_Flood_US | EVENT1257 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201607_Hurricane_PreEvent_US | EVENT1255 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201607_Tornado_US | EVENT1254 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201608_Fire_US | EVENT1258 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201608_Flood_IND | EVENT1261 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201608_Flood_US | EVENT1260 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201608_Tornado_US | EVENT1259 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201609_Fire_US | EVENT1262 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201609_Flood_AUS | EVENT1265 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201609_Flood_IDN | EVENT1264 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201609_Flood_US | EVENT1266 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201609_Storm_US | EVENT1263 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Debris_US | EVENT1269 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Fire_US | EVENT1270 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Flood_PAN | EVENT1273 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Flood_US | EVENT1272 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Hurricane_Matthew | EVENT1267 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Hurricane_Matthew_US | EVENT1268 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201610_Typhoon_Haima_PHL | EVENT1274 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Earthquake_NZL | EVENT1279 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Exercise_Vigilant_Guard_CA | EVENT1278 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Fire_ISR | EVENT1281 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Fire_US | EVENT1277 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Flood_CRI | EVENT1282 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Flood_PAN | EVENT1280 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201611_Flood_Pre_Event_US | EVENT1276 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201612_Cyclone_Vardah_IND | EVENT1285 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201612_Earthquake_IDN | EVENT1284 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201612_Tornado_US | EVENT1283 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201701_Exercise_Patriot_South_MS | EVENT1290 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201701_Fire_ARG | EVENT1286 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201701_Fire_CHL | EVENT1289 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201701_Flood_US | EVENT1287 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201701_Tornado_US | EVENT1288 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201702_Dam_CA | EVENT1293 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201702_Dam_RadarSAT_CA | EVENT1295 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201702_Earthquake_PHL | EVENT1292 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201702_Flood_US | EVENT1294 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201702_Tornado_US | EVENT1291 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Cyclone_Debbie_AUS | EVENT1302 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Cyclone_Enawo_MDG | EVENT1298 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Exercise_FOSTERRS_US | EVENT1297 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Exercise_SERT_SC | EVENT1301 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Fire_US | EVENT1300 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Landslide_US | EVENT1299 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201703_Tornado_US | EVENT1296 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201704_Flood_ARG | EVENT1306 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201704_Flood_PER | EVENT1303 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201704_Flood_US | EVENT1304 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201704_Landslide_COL | EVENT1305 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | 201704_Tornado_US | EVENT1307 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Baseline High Resolution Orthoimagery Data | HDDS_BASELINE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 121301_Floods_Indonesia | ADHOC855 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2007_Greece_Fires | ADHOC19 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2007_Hurricane_Felix | ADHOC20 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2007_Hurricane_Humberto | ADHOC28 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200804_Tornadoes_VA | ADHOC148 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200805_Cyclone_Nargis | ADHOC137 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200805_Earthquake_China | ADHOC161 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200806_Fires_CA | ADHOC222 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200806_Floods_Midwest | ADHOC207 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200807_Hurricane_Dolly | ADHOC245 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200808_Hurricane_Gustav | ADHOC273 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200808_TropicalStorm_Fay | ADHOC272 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200901_Blizzard_KY | ADHOC326 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200901_Floods_WA | ADHOC314 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200902_Fires_Australia | ADHOC328 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200902_Tornado_OK | ADHOC325 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200902_Volcano_Mt_Redoubt | ADHOC323 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200903_RedRiver_Flooding | ADHOC331 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200905_California_Fires | ADHOC336 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200908_California_Fires | ADHOC343 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200908_Hurricane_Felicia | ADHOC341 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200908_Hurricane_Test | ADHOC340 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200909_Flooding_GA | ADHOC354 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200909_Indonesia_Earthquake | ADHOC356 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200909_Samoa_Tsunami | ADHOC355 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200911_Floods_ElSalvador | ADHOC363 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200911_Floods_LA | ADHOC360 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 200911_Floods_MidAtlantic | ADHOC364 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2009_Howard_Hanson_Dam_WA | ADHOC357 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201001_Earthquake_Haiti | ADHOC488 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201002_Earthquake_Chile | ADHOC499 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201003_Floods_UpperMidwest | ADHOC501 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201004_Earthquake_China | ADHOC512 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201004_Earthquake_Mexico | ADHOC508 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201004_Floods_Northeast | ADHOC503 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201004_Oilspill_GulfOfMexico | ADHOC514 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201005_Floods_Southeast | ADHOC515 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201006_Fires_AZ | ADHOC519 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201007_Fires_CA | ADHOC603 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201007_Fires_WA | ADHOC602 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201007_Floods_MX_TX | ADHOC601 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201007_Floods_Pakistan | ADHOC604 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201008_Hurricane_Earl | ADHOC608 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Earthquake_New_Zealand | ADHOC614 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Fires_CO | ADHOC615 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Floods_MN | ADHOC618 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Floods_Slovenia | ADHOC616 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Floods_WI | ADHOC617 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201009_Hurricane_Igor | ADHOC619 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201010_Floods_Thailand | ADHOC623 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201010_NRDA | ADHOC622 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201010_NRDA_Chandeleur_Islands | ADHOC832 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201010_Tsunami_Indonesia | ADHOC624 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201010_Volcano_Indonesia | ADHOC625 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201011_Hurricane_Tomas | ADHOC626 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201012_Fire_Israel | ADHOC632 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201012_Floods_Colombia | ADHOC631 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201012_Floods_Panama | ADHOC633 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201101_Earthquake_Pakistan | ADHOC642 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201101_Floods_Australia | ADHOC638 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201101_Floods_Brazil | ADHOC641 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201101_NRDA | ADHOC640 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201101_Tornadoes_MO | ADHOC639 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Cyclone_Yasi | ADHOC643 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Earthquake_New_Zealand | ADHOC648 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Floods_Mozambique | ADHOC644 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Landslide_Bolivia | ADHOC652 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Landslide_Turkey | ADHOC645 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201102_Snowstorm_Korea | ADHOC646 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201103_Earthquake_Tsunami_Japan | ADHOC649 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201103_Tsunami_WestCoast_US | ADHOC653 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201104_Fires_MX_TX | ADHOC658 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201104_Floods_Central_US | ADHOC659 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201104_Floods_Midwest_US | ADHOC655 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201104_Floods_Namibia | ADHOC657 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201104_Tornadoes_Southeast_US | ADHOC660 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201105_Fires_Canada | ADHOC662 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201105_Tornadoes_AR | ADHOC665 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201105_Tornadoes_MO | ADHOC663 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201105_Tornadoes_Minneapolis_MN | ADHOC664 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201105_Tornadoes_OK | ADHOC666 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Fires_AZ_CO_NM | ADHOC673 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Fires_FL | ADHOC679 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Floods_MissouriRiver_US | ADHOC671 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Floods_ND | ADHOC692 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Floods_Northeast_US_CA | ADHOC668 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Tornadoes_CT_MA | ADHOC674 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201106_Volcano_Chile | ADHOC677 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201107_Floods_South_Korea | ADHOC697 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201107_NRDA | ADHOC696 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201108_Earthquake_East_Coast_US | ADHOC721 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201108_Floods_Nigeria | ADHOC716 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201108_Hurricane_Irene | ADHOC705 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201108_Hurricane_Irene_Charter | ADHOC713 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201109_Earthquake_India | ADHOC726 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201109_Fires_MN | ADHOC727 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201109_Fires_Texas | ADHOC722 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201109_Typhoon_Japan | ADHOC724 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201110_Earthquake_Turkey | ADHOC734 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201110_Floods_Algeria | ADHOC731 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201110_Floods_Thailand | ADHOC735 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201110_Oilspill_New_Zealand | ADHOC732 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201110_Volcano_AK | ADHOC733 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201111_Fires_Reno | ADHOC740 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201111_Storm_AK | ADHOC739 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201112_Fires_Chile | ADHOC743 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201112_NRDA | ADHOC742 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2011_AITWG_Imagery | ADHOC699 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 2011_NLE | ADHOC650 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201202_Cyclone_Giovanna | ADHOC751 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201202_Floods_Algeria | ADHOC756 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201202_Floods_Peru | ADHOC752 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201202_Landslide_AK | ADHOC748 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201202_Volcano_Semeru | ADHOC753 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201203_Cyclone_Irina | ADHOC757 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_Fires_CO | ADHOC758 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_Fires_VA | ADHOC760 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_NRDA_Louisiana | ADHOC765 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_Tornadoes_Central_US | ADHOC761 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_Tornadoes_TX | ADHOC759 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201204_VMOC_Demo | ADHOC762 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Fires_AZ | ADHOC768 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Fires_CO | ADHOC769 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Fires_NM | ADHOC771 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Fires_NV | ADHOC772 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Floods_China | ADHOC766 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201205_Snowmelt_AK | ADHOC770 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Fires_AZ | ADHOC775 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Fires_CO | ADHOC773 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Fires_NM | ADHOC780 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Fires_WY | ADHOC779 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Floods_MN | ADHOC776 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_TropicalStorm_Debby | ADHOC777 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201206_Volcano_Guatemala | ADHOC774 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_DNC | ADHOC788 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Fires_MT | ADHOC783 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Fires_NE | ADHOC790 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Fires_OR | ADHOC789 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Fires_SD | ADHOC791 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Fires_UT | ADHOC785 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Floods_India | ADHOC781 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Floods_Russia | ADHOC784 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_NRDA | ADHOC787 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201207_Training_CAP | ADHOC786 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Exercise_CA | ADHOC792 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Fires_Algeria | ADHOC798 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Fires_CA | ADHOC794 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Fires_ID | ADHOC795 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Fires_NV | ADHOC796 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Fires_OK | ADHOC797 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Floods_Niger | ADHOC819 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Floods_Nigeria | ADHOC821 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Floods_Philippines | ADHOC793 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Floods_Senegal | ADHOC818 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201208_Hurricane_Isaac | ADHOC810 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Earthquake_China | ADHOC823 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Fires_Equador | ADHOC826 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Fires_WA | ADHOC829 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Floods_Cameroon | ADHOC824 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Floods_Pakistan | ADHOC827 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Floods_South_Sudan | ADHOC828 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Landslide_India | ADHOC825 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201209_Seep_LA | ADHOC822 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201210_Floods_Chad | ADHOC831 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201210_Floods_Nigeria | ADHOC830 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201210_Hurricane_Sandy_Haiti | ADHOC847 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201210_Oilspill_GulfOfMexico | ADHOC833 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201211_Earthquake_Guatemala | ADHOC848 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201211_Floods_UK | ADHOC849 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201212_Cyclone_Evan | ADHOC852 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201212_Typhoon_Bopha | ADHOC850 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201212_Typhoon_Bopha_Philippines | ADHOC851 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201301_Floods_Israel | ADHOC853 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201301_Floods_Mozambique | ADHOC854 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201301_Tornado_IN | ADHOC856 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201302_Cyclone_Haruna | ADHOC885 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201302_Floods_Seychelles | ADHOC857 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201302_SnowStorm_Nemo | ADHOC860 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201302_Tornadoes_Central_US | ADHOC858 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201302_Tornadoes_GA | ADHOC863 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201303_Fires_FL | ADHOC887 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201304_Earthquake_China | ADHOC894 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201304_Floods_Central_US | ADHOC892 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201304_Floods_MN_ND | ADHOC888 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201304_Tornadoes_MO | ADHOC893 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201305_Exercise_Ardent_Sentry | ADHOC897 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201305_Fires_CA | ADHOC896 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Fires_AK | ADHOC909 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Fires_CO | ADHOC905 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Fires_NM | ADHOC901 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Floods_India | ADHOC907 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Tornadoes_IA | ADHOC906 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Tornadoes_KS | ADHOC908 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Tornadoes_MO | ADHOC904 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201306_Volcano_Capahue | ADHOC903 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Debris_Flow_CO | ADHOC915 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Earthquake_China | ADHOC920 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Explosion_CAN | ADHOC913 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Explosion_GulfOfMexico | ADHOC921 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_AK | ADHOC912 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_AZ | ADHOC910 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_CA | ADHOC917 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_ID | ADHOC919 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_MT | ADHOC918 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Fires_WA | ADHOC926 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Floods_Argentina | ADHOC911 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Floods_Japan | ADHOC922 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201307_Tornadoes_KY | ADHOC916 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Exercise_Vibrant_Response_13 | ADHOC928 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Fires_AK | ADHOC929 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Fires_CA | ADHOC933 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Fires_OR | ADHOC925 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Fires_UT | ADHOC924 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_China | ADHOC930 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_Myanmar | ADHOC923 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_Pakistan | ADHOC934 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_Phillippines | ADHOC931 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_Senegal | ADHOC932 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201308_Floods_Sudan | ADHOC927 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Earthquake_Pakistan | ADHOC944 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Fires_Argentina | ADHOC937 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Fires_MT | ADHOC935 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Floods_CO | ADHOC938 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Floods_CO_Charter | ADHOC939 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Floods_NE | ADHOC942 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Floods_NM | ADHOC940 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Floods_Russia | ADHOC936 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201309_Volcano_Peru | ADHOC943 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Cyclone_Phailin | ADHOC945 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Earthquake_Philippines | ADHOC946 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Fires_Australia | ADHOC950 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Fires_CA | ADHOC948 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Floods_Cambodia | ADHOC952 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Landslide_Japan | ADHOC947 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Tornados_Midwest | ADHOC949 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201310_Typhoon_Nari | ADHOC951 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201311_Floods_Oman | ADHOC961 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201311_Floods_TX | ADHOC954 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201311_Tornadoes_Midwest | ADHOC960 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201311_Typhoon_Haiyan | ADHOC956 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201311_Volcano_Indonesia | ADHOC955 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201312_Fires_CA | ADHOC964 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201312_Floods_Gaza | ADHOC963 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201312_Floods_UK | ADHOC962 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201401_Cyclone_Bejisa | ADHOC965 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201401_Floods_UK | ADHOC966 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201401_Landslide_Peru | ADHOC967 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Fires_India | ADHOC968 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Floods_Bolivia | ADHOC973 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Floods_Burundi | ADHOC972 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Floods_UK | ADHOC969 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Floods_Zimbabwe | ADHOC970 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Snowstorm_Korea | ADHOC971 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201402_Volcano_Mt_Kelud_IDN | ADHOC974 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201403_Airplane_MH370_Malaysia | ADHOC975 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201403_Exercise_NEP_Capstone | ADHOC980 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201403_Floods_Brazil | ADHOC977 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201403_IceStorm_Southeast_US | ADHOC976 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201403_Landslide_WA | ADHOC979 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Cyclone_Ita_AUS | ADHOC982 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Exercise_Vigilant_Guard_NM | ADHOC987 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Fires_AZ | ADHOC985 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Fires_Chile | ADHOC983 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Floods_Afghanistan | ADHOC990 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Floods_Solomon_Islands | ADHOC981 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Landslide_Tajikistan | ADHOC984 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Tornadoes_AL | ADHOC989 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Tornadoes_AR | ADHOC986 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Tornadoes_LA | ADHOC991 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201404_Tornadoes_MS | ADHOC988 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Execise_Vigilant_Guard_PA | ADHOC993 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Fires_AK | ADHOC997 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Fires_AZ | ADHOC999 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Fires_CA | ADHOC995 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Fires_OK | ADHOC994 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Floods_Bosnia | ADHOC996 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Floods_Florida | ADHOC992 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Floods_Serbia | ADHOC998 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201405_Landslide_CO | ADHOC1000 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201406_Fires_CA | ADHOC1004 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201406_Floods_Paraguay | ADHOC1018 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201406_Storms_Midwest_US | ADHOC1005 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Fires_CA | ADHOC1026 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Fires_DOM | ADHOC1030 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Fires_NM | ADHOC1011 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Fires_OR | ADHOC1028 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Fires_WA | ADHOC1027 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Floods_Brazil | ADHOC1016 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Tornadoes_WI | ADHOC1017 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201407_Typhoon_Rammasun_CHN | ADHOC1029 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Earthquake_CA | ADHOC1040 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Earthquake_China | ADHOC1031 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Fires_NE | ADHOC1033 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Floods_Bangladesh | ADHOC1038 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Floods_India | ADHOC1037 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Floods_Panama | ADHOC1036 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Floods_Sudan | ADHOC1034 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Landslide_Nepal | ADHOC1032 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Landslide_WA | ADHOC1039 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201408_Storms_HI | ADHOC1035 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201409_Fires_CA | ADHOC1043 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201409_Floods_France | ADHOC1044 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201409_Floods_Pakistan | ADHOC1042 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201409_Volcano_Kilauea_HI | ADHOC1041 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Ebola_Africa | ADHOC1051 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Exercise_UAS_CO | ADHOC1056 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Hurricane_Gonzalo | ADHOC1053 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Landslide_SriLanka | ADHOC1057 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Tropical_Storm_Ana_Hawaii | ADHOC1055 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201410_Typhoon_HudHud_India | ADHOC1052 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201411_Storm_NY | ADHOC1059 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201412_Landslide_Indonesia | ADHOC1061 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201412_Typhoon_Hagupit_PHL | ADHOC1060 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201501_Floods_Malawi | ADHOC1064 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201501_Floods_SriLanka | ADHOC1065 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201501_Storms_Malawi | ADHOC1062 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201501_Storms_Northeast_US | ADHOC1068 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201501_Volcano_Soputan_IDN | ADHOC1063 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201502_Cyclone_AUS | ADHOC1072 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201502_Flood_Bolivia | ADHOC1074 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201502_Flood_Brazil | ADHOC1076 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201502_Landslide_Afghanistan | ADHOC1075 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201502_Storm_GA | ADHOC1073 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Cyclone_Pam_VUT | ADHOC1079 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Fire_CHL | ADHOC1081 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Flood_CHL | ADHOC1083 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Flood_IND | ADHOC1084 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Oilspill_VNM | ADHOC1082 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Volcano_Turrialba_CRI | ADHOC1080 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201503_Volcano_Villarrica_CHL | ADHOC1077 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Drought_CA | ADHOC1086 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Earthquake_NPL | ADHOC1091 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Fire_SD | ADHOC1085 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Oilspill_MEX | ADHOC1087 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Storm_KS | ADHOC1088 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Storms_Midwest_US | ADHOC1089 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201504_Volcano_Calbuco_CHL | ADHOC1090 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Exercise_ArdentSentry | ADHOC1093 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Flood_TX | ADHOC1095 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Landslide_COL | ADHOC1097 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Oilspill_CA | ADHOC1099 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Tornado_Midwest_US | ADHOC1094 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201505_Typhoon_Dolphin_GUM | ADHOC1096 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Debris_MI | ADHOC1105 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Fire_AK | ADHOC1103 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Fire_AZ | ADHOC1107 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Fire_CA | ADHOC1104 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Flood_BRA | ADHOC1102 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Flood_Eastern_US | ADHOC1108 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201506_Storm_Midwest_US | ADHOC1106 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Exercise_Patriot_WI | ADHOC1114 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Fire_MT | ADHOC1115 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Fire_OR | ADHOC1110 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Flood_Eastern_US | ADHOC1111 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Storm_Eastern_US | ADHOC1113 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201507_Volcano_Cotopaxi_ECU | ADHOC1109 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Fire_AK | ADHOC1137 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Fire_CA | ADHOC1117 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Fire_ID | ADHOC1122 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Fire_RUS | ADHOC1126 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Fire_WA | ADHOC1125 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Flood_CHL | ADHOC1119 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Flood_TUR | ADHOC1134 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Hurricane_Danny | ADHOC1132 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Hurricane_Erika_PRI | ADHOC1136 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Landslide_AK | ADHOC1128 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Landslide_VNM | ADHOC1121 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Spill_CO | ADHOC1130 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Storm_MI | ADHOC1118 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Storm_MN | ADHOC1123 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Tornado_Midwest_US | ADHOC1120 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201508_Typhoon_Goni_MNP | ADHOC1131 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Earthquake_CHL | ADHOC1144 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Fire_CA | ADHOC1139 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Fire_ID | ADHOC1140 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Fire_NE | ADHOC1143 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Fire_WA | ADHOC1141 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Flood_BGD | ADHOC1142 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201509_Landslide_MMR | ADHOC1138 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Earthquake_AFG | ADHOC1151 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Fire_CA | ADHOC1152 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Flood_AK | ADHOC1149 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Hurricane_Joaquin | ADHOC1146 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Hurricane_Joaquin_BHS | ADHOC1147 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Landslide_GTM | ADHOC1148 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201510_Tornado_IA | ADHOC1150 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Airplane_RUS | ADHOC1153 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Cyclone_Chapala_YEM | ADHOC1154 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Flood_IRQ | ADHOC1157 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Spill_BRA | ADHOC1155 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Tornado_Central_US | ADHOC1159 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Tornado_FL | ADHOC1158 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201511_Tornado_IA | ADHOC1156 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Earthquake_TJK | ADHOC1161 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Flood_ARG | ADHOC1165 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Flood_IND | ADHOC1160 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Flood_Midwest_US | ADHOC1166 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Flood_Midwest_US_Charter | ADHOC1168 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Storm_WA | ADHOC1162 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Tornado_Central_US | ADHOC1167 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201512_Tornado_MS | ADHOC1163 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201602_Cyclone_Winston_FJI | ADHOC1170 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201602_Earthquake_TWN | ADHOC1169 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201602_Tornado_Eastern_US | ADHOC1172 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201603_Exercise_EMD_SC | ADHOC1182 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201603_Flood_Southern_US | ADHOC1181 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201603_Tornado_Midwest_US | ADHOC1190 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Earthquake_ECU | ADHOC1229 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Earthquake_JPN | ADHOC1226 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Fire_Eastern_US | ADHOC1222 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Fire_Midwest_US | ADHOC1219 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Fire_PAN | ADHOC1230 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Fire_US | ADHOC1223 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Flood_Southern_US | ADHOC1240 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201604_Tornado_US | ADHOC1237 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Cyclone_Roanu_BGD | ADHOC1244 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Fire_CAN | ADHOC1238 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Oilspill_GOM | ADHOC1241 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Oilspill_NWHI | ADHOC1239 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Search_Rescue_CA | ADHOC1243 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201605_Tornado_US | ADHOC1242 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Airplane_F16_GA | ADHOC1248 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Exercise_Cascadia_Rising | ADHOC1247 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Fire_US | ADHOC1249 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Flood_CHN | ADHOC1250 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Flood_Southern_US | ADHOC1246 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Flood_US | ADHOC1252 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Tornado_CHN | ADHOC1251 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201606_Tornado_US | ADHOC1245 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201607_Fire_RUS | ADHOC1253 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201607_Fire_US | ADHOC1256 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201607_Flood_US | ADHOC1257 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201607_Hurricane_PreEvent_US | ADHOC1255 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201607_Tornado_US | ADHOC1254 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201608_Fire_US | ADHOC1258 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201608_Flood_IND | ADHOC1261 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201608_Flood_US | ADHOC1260 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201608_Tornado_US | ADHOC1259 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201609_Fire_US | ADHOC1262 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201609_Flood_AUS | ADHOC1265 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201609_Flood_IDN | ADHOC1264 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201609_Flood_US | ADHOC1266 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201609_Storm_US | ADHOC1263 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Debris_US | ADHOC1269 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Fire_US | ADHOC1270 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Flood_PAN | ADHOC1273 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Flood_US | ADHOC1272 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Hurricane_Matthew | ADHOC1267 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Hurricane_Matthew_US | ADHOC1268 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201610_Typhoon_Haima_PHL | ADHOC1274 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Earthquake_NZL | ADHOC1279 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Exercise_Vigilant_Guard_CA | ADHOC1278 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Fire_ISR | ADHOC1281 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Fire_US | ADHOC1277 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Flood_CRI | ADHOC1282 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Flood_PAN | ADHOC1280 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201611_Flood_Pre_Event_US | ADHOC1276 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201612_Cyclone_Vardah_IND | ADHOC1285 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201612_Earthquake_IDN | ADHOC1284 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201612_Tornado_US | ADHOC1283 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201701_Exercise_Patriot_South_MS | ADHOC1290 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201701_Fire_ARG | ADHOC1286 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201701_Fire_CHL | ADHOC1289 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201701_Flood_US | ADHOC1287 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201701_Tornado_US | ADHOC1288 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201702_Dam_CA | ADHOC1293 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201702_Dam_RadarSAT_CA | ADHOC1295 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201702_Earthquake_PHL | ADHOC1292 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201702_Flood_US | ADHOC1294 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201702_Tornado_US | ADHOC1291 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Cyclone_Debbie_AUS | ADHOC1302 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Cyclone_Enawo_MDG | ADHOC1298 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Exercise_FOSTERRS_US | ADHOC1297 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Exercise_SERT_SC | ADHOC1301 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Fire_US | ADHOC1300 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Landslide_US | ADHOC1299 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201703_Tornado_US | ADHOC1296 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201704_Flood_ARG | ADHOC1306 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201704_Flood_PER | ADHOC1303 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201704_Flood_US | ADHOC1304 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201704_Landslide_COL | ADHOC1305 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc 201704_Tornado_US | ADHOC1307 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Ad hoc Baseline | ADHOC_BASELINE | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201201_Fire_NV | ADHOC745 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201201_Floods_Brazil | ADHOC744 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201202_GasExplosion_AK | ADHOC754 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201202_NRDA_BigBend_FL | ADHOC750 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201202_Tornadoes_Central_US | ADHOC755 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201205_Fires_TX | ADHOC767 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201210_Hurricane_Sandy | ADHOC835 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201302_Tornadoes_MS | ADHOC861 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201304_Explosion_TX | ADHOC895 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | Public Adhoc 201305_Tornadoes_OK | ADHOC900 | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+ | U.S. Forest Maps | HDDS_FOREST_MAPS | +------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/catalog/lpcs.rst0000644000076500000240000001065500000000000020560 0ustar00amitstaff00000000000000.. _lpcs: LPCSExplorer ============ +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Geostationary Operational Environmental Satellites - R-Series (GOES-16) - National Oceanic and Atmospheric Administration (NOAA) | GOES_ABI_CIMSS_DERIV | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Landsat 4-5 Collection 1 Higher-Level Scene Products (Surface Reflectance) | LSR_LANDSAT_TM_C1 | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Landsat 7 Collection 1 Higher-Level Scene Products (Surface Reflectance) | LSR_LANDSAT_ETM_C1 | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | MODIS/Aqua MYD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN | LPCS_MODIS_MYD11A1 | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MCD12Q1 Land Cover Type Yearly L3 Global 500 m SIN Grid | LPCS_MODIS_MCD12Q1 | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | MODIS/COMBINED MOD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN | LPCS_MODIS_MOD11A1 | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Visible Infrared Imaging Radiometer Suite (VIIRS) - National Aeronautics and Space Administration (NASA) - Derived | VIIRS_NASA_DERIV | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Visible Infrared Imaging Radiometer Suite (VIIRS) - National Oceanic and Atmospheric Administration (NOAA) - Derived | VIIRS_NOAA_DERIV | +----------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/cli.rst0000644000076500000240000003362000000000000016751 0ustar00amitstaff00000000000000.. module:: usgs.scripts .. cli: USGS CLI ======== This library comes with a command line interface to expose many common requests, such as authenticating, searching, downloading, and obtaining metadata. Here's an example of what can be done using the cli and GitHub Gists. .. code-block:: bash usgs search --node EE EO1_HYP_PUB --start-date 20150401 --end-date 20150501 --geojson | gist -f hyperion-20150401-20150501.geojson .. raw:: html
Login ----- .. code-block:: bash usgs login [USGS username] [USGS password] Logout ------ .. code-block:: bash usgs logout [USGS username] [USGS password] Search ------ .. code-block:: bash usgs search [dataset] --start-date [start date] --end-date [end date] --longitude [lng] --latitude [lat] --node [node] Suppose you're interested in declassified satellite imagery. The datasets ``CORONA2`` or ``DECLASSII`` can be queried. If you have a GeoJSON file with an AOI, you can pipe the file to ``usgs search``. .. code-block:: bash cat chile.geojson | usgs search --node EE DECLASSII --start-date 19700101 --end-date 19800101 --geojson | gist -f declassii-chile-1970s.geojson .. raw:: html
Metadata -------- .. code-block:: bash usgs metadata [dataset] [entity/scene id 1] [entity/scene id 2] ... [entity/scene id n] Suppose you want metadata from a couple scenes taken by Hyperion. .. code-block:: bash $ usgs metadata --node EE EO1_HYP_PUB EO1H1820422014302110K2_SG1_01 EO1H1830422015093110KF_TR2_01 | jq "" { "errorCode": null, "executionTime": 1.676698923111, "data": [ { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/1854/EO1H1820422014302110K2_SG1_01/", "upperLeftCoordinate": { "latitude": 26.253489, "longitude": 21.53022 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/1854/EO1H1820422014302110K2_SG1_01/save_xml", "displayId": "EO1H1820422014302110K2_SG1_01", "acquisitionDate": "2014-10-29", "browseUrl": "https://earthexplorer.usgs.gov/browse/eo-1/hyp/182/42/2014/EO11820422014302110K2_SG1_01.jpeg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "upperRightCoordinate": { "latitude": 26.240475, "longitude": 21.602509 }, "summary": "Entity ID: EO1H1820422014302110K2_SG1_01, Acquisition Date: 29-OCT-14, Target Path: 182, Target Row: 42", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/EO1_HYP_PUB/EO1H1820422014302110K2_SG1_01/INVSVC/", "lowerLeftCoordinate": { "latitude": 24.365584, "longitude": 21.074194 }, "modifiedDate": "2017-03-22", "startTime": "2014-10-29", "sceneBounds": "21.074194,24.352528,21.602509,26.253489", "ordered": false, "entityId": "EO1H1820422014302110K2_SG1_01", "endTime": "2014-10-29", "lowerRightCoordinate": { "latitude": 24.352528, "longitude": 21.145425 }, "bulkOrdered": false }, { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/1854/EO1H1830422015093110KF_TR2_01/", "upperLeftCoordinate": { "latitude": 25.663285, "longitude": 20.41565 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/1854/EO1H1830422015093110KF_TR2_01/save_xml", "displayId": "EO1H1830422015093110KF_TR2_01", "acquisitionDate": "2015-04-03", "browseUrl": "https://earthexplorer.usgs.gov/browse/eo-1/hyp/183/42/2015/EO11830422015093110KF_TR2_01.jpeg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1830422015093110KF_TR2_01&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1830422015093110KF_TR2_01&node=INVSVC", "upperRightCoordinate": { "latitude": 25.650833, "longitude": 20.489455 }, "summary": "Entity ID: EO1H1830422015093110KF_TR2_01, Acquisition Date: 03-APR-15, Target Path: 183, Target Row: 42", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/EO1_HYP_PUB/EO1H1830422015093110KF_TR2_01/INVSVC/", "lowerLeftCoordinate": { "latitude": 24.800065, "longitude": 20.220225 }, "modifiedDate": "2017-03-22", "startTime": "2015-04-03", "sceneBounds": "20.220225,24.787699,20.489455,25.663285", "ordered": false, "entityId": "EO1H1830422015093110KF_TR2_01", "endTime": "2015-04-03", "lowerRightCoordinate": { "latitude": 24.787699, "longitude": 20.293527 }, "bulkOrdered": false } ], "api_version": "1.2.1", "error": "" } Unfortunately, this is not all the metadata available for each scene. More metadata is found behind the ``metadataUrl``. Using the ``extended`` flag will send a second request to USGS, and aggregrate the results in the returned JSON. .. code-block:: bash $ usgs metadata --node EE EO1_HYP_PUB EO1H1820422014302110K2_SG1_01 EO1H1830422015093110KF_TR2_01 --extended | jq "" { "errorCode": null, "executionTime": 1.5633571147919, "data": [ { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/1854/EO1H1820422014302110K2_SG1_01/", "upperLeftCoordinate": { "latitude": 26.253489, "longitude": 21.53022 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/1854/EO1H1820422014302110K2_SG1_01/save_xml", "displayId": "EO1H1820422014302110K2_SG1_01", "acquisitionDate": "2014-10-29", "browseUrl": "https://earthexplorer.usgs.gov/browse/eo-1/hyp/182/42/2014/EO11820422014302110K2_SG1_01.jpeg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1820422014302110K2_SG1_01&node=INVSVC", "upperRightCoordinate": { "latitude": 26.240475, "longitude": 21.602509 }, "summary": "Entity ID: EO1H1820422014302110K2_SG1_01, Acquisition Date: 29-OCT-14, Target Path: 182, Target Row: 42", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/EO1_HYP_PUB/EO1H1820422014302110K2_SG1_01/INVSVC/", "lowerLeftCoordinate": { "latitude": 24.365584, "longitude": 21.074194 }, "extended": { "NE Corner Long": "21&deg;35'20.41"E", "NW Corner Long": "21&deg;30'58.05"E", "Entity ID": "EO1H1820422014302110K2_SG1_01", "Sun Elevation": "38.506879", "NW Corner Lat dec": "26.178639", "Station": "SG1", "Center Latitude dec": "25.233517", "Target Path": "182", "SE Corner Long": "21&deg;08'06.46"E", "Look Angle": "2.2046", "SW Corner Long dec": "21.063363", "Scene Start Time": "2014:302:07:58:59.273", "Cloud Cover": "10% to 19% Cloud Cover", "NW Corner Lat": "26&deg;10'43.10"N", "SW Corner Lat dec": "24.302885", "Orbit Row": "42", "NE Corner Lat": "26&deg;09'50.63"N", "Target Row": "42", "Date Entered": "2014/10/29", "NW Corner Long dec": "21.516126", "Processing Level": "L1T Product Available", "Center Longtude dec": "21.325905", "NE Corner Lat dec": "26.164064", "SE Corner Long dec": "21.135127", "Center Latitude": "25&deg;14'00.66"N", "SW Corner Long": "21&deg;03'48.11"E", "NE Corner Long dec": "21.589002", "SE Corner Lat dec": "24.288481", "Acquisition Date": "2014/10/29", "Scene Stop Time": "2014:302:07:59:31.273", "SE Corner Lat": "24&deg;17'18.53"N", "Satellite Inclination": "97.96", "Orbit Path": "182", "Center Longitude": "21&deg;19'33.26"E", "SW Corner Lat": "24&deg;18'10.39"N", "Sun Azimuth": "134.735736" }, "modifiedDate": "2017-03-22", "startTime": "2014-10-29", "sceneBounds": "21.074194,24.352528,21.602509,26.253489", "ordered": false, "entityId": "EO1H1820422014302110K2_SG1_01", "endTime": "2014-10-29", "lowerRightCoordinate": { "latitude": 24.352528, "longitude": 21.145425 }, "bulkOrdered": false }, { "metadataUrl": "https://earthexplorer.usgs.gov/metadata/xml/1854/EO1H1830422015093110KF_TR2_01/", "upperLeftCoordinate": { "latitude": 25.663285, "longitude": 20.41565 }, "fgdcMetadataUrl": "https://earthexplorer.usgs.gov/fgdc/1854/EO1H1830422015093110KF_TR2_01/save_xml", "displayId": "EO1H1830422015093110KF_TR2_01", "acquisitionDate": "2015-04-03", "browseUrl": "https://earthexplorer.usgs.gov/browse/eo-1/hyp/183/42/2015/EO11830422015093110KF_TR2_01.jpeg", "dataAccessUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1830422015093110KF_TR2_01&node=INVSVC", "orderUrl": "https://earthexplorer.usgs.gov/order/process?dataset_name=EO1_HYP_PUB&ordered=EO1H1830422015093110KF_TR2_01&node=INVSVC", "upperRightCoordinate": { "latitude": 25.650833, "longitude": 20.489455 }, "summary": "Entity ID: EO1H1830422015093110KF_TR2_01, Acquisition Date: 03-APR-15, Target Path: 183, Target Row: 42", "downloadUrl": "https://earthexplorer.usgs.gov/download/external/options/EO1_HYP_PUB/EO1H1830422015093110KF_TR2_01/INVSVC/", "lowerLeftCoordinate": { "latitude": 24.800065, "longitude": 20.220225 }, "extended": { "NE Corner Long": "20&deg;28'20.11"E", "NW Corner Long": "20&deg;23'52.21"E", "Entity ID": "EO1H1830422015093110KF_TR2_01", "Sun Elevation": "42.984461", "NW Corner Lat dec": "25.587842", "Station": "TR2", "Center Latitude dec": "25.15576", "Target Path": "183", "SE Corner Long": "20&deg;16'43.78"E", "Look Angle": "-10.588", "SW Corner Long dec": "20.20492", "Scene Start Time": "2015:093:07:44:06.278", "Cloud Cover": "0 to 9% Cloud Cover", "NW Corner Lat": "25&deg;35'16.23"N", "SW Corner Lat dec": "24.737627", "Orbit Row": "43", "NE Corner Lat": "25&deg;34'25.92"N", "Target Row": "42", "Date Entered": "2015/04/03", "NW Corner Long dec": "20.397836", "Processing Level": "L1T Product Available", "Center Longtude dec": "20.33846", "NE Corner Lat dec": "25.573867", "SE Corner Long dec": "20.278828", "Center Latitude": "25&deg;09'20.74"N", "SW Corner Long": "20&deg;12'17.71"E", "NE Corner Long dec": "20.472254", "SE Corner Lat dec": "24.723703", "Acquisition Date": "2015/04/03", "Scene Stop Time": "2015:093:07:44:21.278", "SE Corner Lat": "24&deg;43'25.33"N", "Satellite Inclination": "97.98", "Orbit Path": "182", "Center Longitude": "20&deg;20'18.46"E", "SW Corner Lat": "24&deg;44'15.46"N", "Sun Azimuth": "107.463027" }, "modifiedDate": "2017-03-22", "startTime": "2015-04-03", "sceneBounds": "20.220225,24.787699,20.489455,25.663285", "ordered": false, "entityId": "EO1H1830422015093110KF_TR2_01", "endTime": "2015-04-03", "lowerRightCoordinate": { "latitude": 24.787699, "longitude": 20.293527 }, "bulkOrdered": false } ], "api_version": "1.2.1", "error": "" } Download Options ---------------- .. code-block:: bash usgs download-options [dataset] [entity/scene id] --node [node] Download URL ------------ .. code-block:: bash usgs download-url [dataset] [entity/scene id] --node [node] --product [product] ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/docs/reference/payloads.rst0000644000076500000240000000014500000000000020012 0ustar00amitstaff00000000000000.. module:: usgs .. payloads: USGS Payloads ============= .. automodule:: usgs.payloads :members:././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/requirements.txt0000644000076500000240000000011500000000000016037 0ustar00amitstaff00000000000000mock==1.3.0 pytest==2.8.7 click>=4.0 requests>=2.7.0 requests_futures>=0.9.5 ././@PaxHeader0000000000000000000000000000003300000000000011451 xustar000000000000000027 mtime=1678473140.556885 usgs-0.3.5/scripts/0000755000076500000240000000000000000000000014245 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/scripts/get_datasets_in_node.py0000644000076500000240000000327600000000000020771 0ustar00amitstaff00000000000000 import os, json from usgs import api from usgs import CWIC_LSI_EXPLORER_CATALOG_NODE from usgs import EARTH_EXPLORER_CATALOG_NODE from usgs import HDDS_EXPLORER_CATALOG_NODE from usgs import LPCS_EXPLORER_CATALOG_NODE scriptdir = os.path.dirname(os.path.abspath(__file__)) def get_datasets_in_nodes(): """ Get the node associated with each dataset. Some datasets will have an ambiguous node since they exists in more than one node. """ data_dir = os.path.join(scriptdir, "..", "usgs", "data") cwic = map(lambda d: d["datasetName"], api.datasets(None, CWIC_LSI_EXPLORER_CATALOG_NODE)['data']) ee = map(lambda d: d["datasetName"], api.datasets(None, EARTH_EXPLORER_CATALOG_NODE)['data']) hdds = map(lambda d: d["datasetName"], api.datasets(None, HDDS_EXPLORER_CATALOG_NODE)['data']) lpcs = map(lambda d: d["datasetName"], api.datasets(None, LPCS_EXPLORER_CATALOG_NODE)['data']) # Create mapping from dataset to node datasets = {} datasets.update( { ds : "CWIC" for ds in cwic } ) datasets.update( { ds : "EE" for ds in ee } ) datasets.update( { ds : "HDDS" for ds in hdds } ) datasets.update( { ds : "LPCS" for ds in lpcs } ) datasets_path = os.path.join(data_dir, "datasets.json") with open(datasets_path, "w") as f: f.write(json.dumps(datasets)) # Find the datasets with ambiguous nodes cwic_ee = [ds for ds in cwic if ds in ee] cwic_hdds = [ds for ds in cwic if ds in hdds] cwic_lpcs = [ds for ds in cwic if ds in lpcs] ee_hdds = [ds for ds in ee if ds in hdds] ee_lpcs = [ds for ds in ee if ds in lpcs] hdds_lpcs = [ds for ds in hdds if ds in lpcs] if __name__ == '__main__': get_datasets_in_nodes()././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5927916 usgs-0.3.5/setup.cfg0000644000076500000240000000007400000000000014400 0ustar00amitstaff00000000000000[upload] dry-run = 0 [egg_info] tag_build = tag_date = 0 ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1644507427.0 usgs-0.3.5/setup.py0000644000076500000240000000215400000000000014272 0ustar00amitstaff00000000000000from codecs import open as codecs_open from setuptools import setup, find_packages # Parse the version from the fiona/rasterio module. with open('usgs/__init__.py') as f: for line in f: if line.find("__version__") >= 0: version = line.split("=")[1].strip() version = version.strip('"') version = version.strip("'") continue setup(name='usgs', version=version, description=u"Access the USGS inventory service", classifiers=[], keywords='', author=u"Amit Kapadia", author_email='amit@planet.com', url='https://github.com/kapadia/usgs', license='MIT', packages=find_packages(exclude=['ez_setup', 'examples', 'tests']), include_package_data=True, package_data={'usgs': ['data/datasets.json']}, zip_safe=False, install_requires=[ 'click>=4.0', 'requests>=2.7.0', 'requests_futures>=0.9.5' ], extras_require={ 'test': ['pytest', 'mock'], }, entry_points=""" [console_scripts] usgs=usgs.scripts.cli:usgs """ ) ././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5633333 usgs-0.3.5/tests/0000755000076500000240000000000000000000000013720 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/MockPost.py0000644000076500000240000000062500000000000016034 0ustar00amitstaff00000000000000 import os import json testdir = os.path.dirname(os.path.abspath(__file__)) class MockPost(object): def __init__(self, filename): self.filename = filename def __call__(self, url, payload): return self def json(self): filepath = os.path.join(testdir, 'data', self.filename) with open(filepath) as f: data = json.load(f) return data././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/__init__.py0000644000076500000240000000000000000000000016017 0ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/create_snapshots.py0000644000076500000240000000255100000000000017642 0ustar00amitstaff00000000000000 import os import json from usgs import api testdir = os.path.dirname(os.path.abspath(__file__)) def write_response(response, filename): fpath = os.path.join(testdir, 'data', filename) with open(fpath, 'w') as f: json.dump(response, f) def create_snapshots(): """ Run requests against USGS API for use in tests. """ api_key = api.login(os.environ['USGS_USERNAME'], os.environ['USGS_PASSWORD']) # Dataset Fields response = api.dataset_fields("LANDSAT_8_C1", "EE", api_key=api_key) write_response(response, 'dataset-fields.json') # Datasets response = api.datasets(None, "EE") write_response(response, 'datasets.json') # Download response = api.download("LANDSAT_8_C1", "EE", ["LC80810712017104LGN00"], product='STANDARD') write_response(response, 'download.json') # Download Options response = api.download_options("LANDSAT_8_C1", "EE", ["LC80810712017104LGN00"]) write_response(response, 'download-options.json') # Metadata response = api.metadata("LANDSAT_8_C1", "EE", ["LC80810712017104LGN00"]) write_response(response, 'metadata.json') # Search response = api.search("LANDSAT_8_C1", "EE", start_date='20170401', end_date='20170402', max_results=10) write_response(response, 'search.json') api.logout(api_key) if __name__ == '__main__': create_snapshots() ././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5762355 usgs-0.3.5/tests/data/0000755000076500000240000000000000000000000014631 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1646747669.0 usgs-0.3.5/tests/data/dataset-download-options.json0000644000076500000240000000122200000000000022444 0ustar00amitstaff00000000000000{"requestId": 624092855, "version": "stable", "sessionId": 122150965, "data": [{"productId": "5e83d0b8e7f6734c", "productCode": "D220", "productName": "LandsatLook Natural Color Image"}, {"productId": "5e83d0b888a21f1c", "productCode": "D219", "productName": "LandsatLook Thermal Image"}, {"productId": "5e83d0b89619f7c4", "productCode": "D222", "productName": "LandsatLook Quality Image"}, {"productId": "5e83d0b874791fc3", "productCode": "D221", "productName": "LandsatLook Images with Geographic Reference"}, {"productId": "5e83d0b84df8d8c2", "productCode": "D217", "productName": "Level-1 GeoTIFF Data Product"}], "errorCode": null, "errorMessage": null}././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/data/dataset-fields.json0000644000076500000240000001410500000000000020416 0ustar00amitstaff00000000000000{"requestId": 225925551, "version": "stable", "sessionId": 48213211, "data": [{"id": "5e83d0b84d321b85", "legacyFieldId": 20520, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#landsat_product_id", "fieldConfig": {"type": "Text", "filters": [{"type": "StringToUpper", "options": []}, {"type": "Application\\Filter\\Like", "options": []}], "options": {"size": "45"}, "validators": [], "numElements": "5", "displayListId": null}, "fieldLabel": "Landsat Product Identifier", "searchSql": "EE_DISPLAY_ID like ?"}, {"id": "5e83d0b81d20cee8", "legacyFieldId": 20514, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#wrs_path", "fieldConfig": {"type": "Range", "filters": [], "options": [], "validators": [], "numElements": 1, "displayListId": null}, "fieldLabel": "WRS Path", "searchSql": "WRS_PATH between ?"}, {"id": "5e83d0b849ed5ee7", "legacyFieldId": 20516, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#wrs_row", "fieldConfig": {"type": "Range", "filters": [], "options": [], "validators": [], "numElements": 1, "displayListId": null}, "fieldLabel": "WRS Row", "searchSql": "WRS_ROW between ?"}, {"id": "5f3bedf0d676088b", "legacyFieldId": null, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#cloud_cover_land", "fieldConfig": {"type": "Select", "filters": [], "options": {}, "validators": [], "displayListId": "2830"}, "fieldLabel": "Land Cloud Cover", "searchSql": "CLOUD_COVER_LAND <= ?", "valueList": {"": "All", "10": "Less than 10%", "20": "Less than 20%", "30": "Less than 30%", "40": "Less than 40%", "50": "Less than 50%", "60": "Less than 60%", "70": "Less than 70%", "80": "Less than 80%", "90": "Less than 90%", "100": "Less than 100%"}}, {"id": "5f3bf2fb77bbbeb2", "legacyFieldId": null, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#cloud_cover_automated_l1", "fieldConfig": {"type": "Select", "filters": [], "options": {}, "validators": [], "displayListId": "2830"}, "fieldLabel": "Scene Cloud Cover", "searchSql": "CLOUD_COVER <= ?", "valueList": {"": "All", "10": "Less than 10%", "20": "Less than 20%", "30": "Less than 30%", "40": "Less than 40%", "50": "Less than 50%", "60": "Less than 60%", "70": "Less than 70%", "80": "Less than 80%", "90": "Less than 90%", "100": "Less than 100%"}}, {"id": "5e83d0b8fb079b8b", "legacyFieldId": 20510, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#collection_category", "fieldConfig": {"type": "Select", "filters": [], "options": {"size": "4", "multiple": true}, "validators": [], "numElements": 1, "displayListId": "2837"}, "fieldLabel": "Collection Category", "searchSql": "COLLECTION_CATEGORY = ?", "valueList": {"": "All", "T1": "Tier 1", "T2": "Tier 2", "RT": "Real-Time"}}, {"id": "5e83d0b86227e0aa", "legacyFieldId": 20517, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#data_type_l1", "fieldConfig": {"type": "Select", "filters": [], "options": {"size": "4", "multiple": true}, "validators": [], "numElements": 1, "displayListId": "2833"}, "fieldLabel": "Data Type Level-1", "searchSql": "RIGHT(DATA_TYPE_L1, 4) = ?", "valueList": {"": "All", "L1TP": "Level 1TP", "L1GT": "Level 1GT", "L1GS": "Level 1GS"}}, {"id": "5e83d0b8d5631ba", "legacyFieldId": 20518, "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#sensor_id", "fieldConfig": {"type": "Select", "filters": [{"type": "StringToUpper", "options": []}], "options": {"size": "4", "multiple": true}, "validators": [], "numElements": 1, "displayListId": "2773"}, "fieldLabel": "Sensor 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"east": -95.7868953350494, "south": 30.6734320005316, "west": -124.89880585101}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201812_Tsunami_IDN", "collectionLongName": "201812_Tsunami_IDN", "datasetId": "5ee6c8ee84ce5edc", "datasetAlias": "event2113", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 16000, "sceneCount": 1270103, "spatialBounds": {"north": -2.75113357546507, "east": 109.61767216672, "south": -9.20320931365736, "west": 102.969626}, "temporalCoverage": "[\"1897-04-05 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"acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202012_Volcano_Kilauea_HI", "collectionLongName": "202012_Volcano_Kilauea_HI", "datasetId": "5fe1e751f6b0ca2f", "datasetAlias": "event2962", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 184, "spatialBounds": {"north": 21.3155384412259, "east": -153.846483406491, "south": 17.2390095, "west": -157.373539526918}, "temporalCoverage": "[\"2020-06-25 00:00:00-05\",\"2021-02-27 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202102_Tropical_Storm_Auring_PHL", "collectionLongName": "202102_Tropical_Storm_Auring_PHL", "datasetId": "6033c7d5e38f22d2", "datasetAlias": "event2984", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 212, "spatialBounds": {"north": 13.1744669, "east": 127.470209849534, "south": 6.6522379, "west": 122.397196}, "temporalCoverage": "[\"2015-08-25 00:00:00-05\",\"2021-03-02 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Advanced Solid-State Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g., crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle.\r\n\r\nThe ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.).\r\n\r\nData in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994.\r\n", "acquisitionStart": "1988-06-26", "acquisitionEnd": "1994-03-25", "catalogs": ["EE"], "collectionName": "ASAS", "collectionLongName": "ASAS = NASA's Advanced Solid-state Array Spectroradiometer: 1988 - 2000", "datasetId": "5e839f126ac633be", "datasetAlias": "asas", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:50:42.95518-05", "doiNumber": "https://doi.org/10.5066/F7CF9NCQ", "ingestFrequency": null, "keywords": "None,EROS,Imagery,USGS,US Geological Survey,Image Map", "legacyId": 2611, "sceneCount": 0, "spatialBounds": {"north": 48.842534983278, "east": 2.68508479659507, "south": 13.1887510330578, "west": -123.937312592285}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is an advanced multispectral imager that was launched on board NASA's Terra spacecraft in December, 1999. The ASTER Level-1T (L1T) data incorporate radiometric and geometric corrections while employing ASTER 30-meter Global Digital Elevation Model (DEM) for topographic accuracy. All of these data are stored together with metadata in one HDF file. The L1T image is projected onto a rotated map (rotated to path oriented coordinate) at full instrument resolutions. The Level-1T data generation also includes registration of the SWIR and TIR data to the VNIR data. And in addition, for SWIR in particular, the parallax errors due to the spatial locations of all of its bands are corrected. The Level-1T data set provide scaled or calibrated radiance values. Scenes with sufficient elevation and ground control data for terrain correction are processed to Level 1T.", "acquisitionStart": "2000-03-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ASTER Level 1T", "collectionLongName": "NASA ASTER Level 1T", "datasetId": "5e839f807c976310", "datasetAlias": "aster_l1t", "datasetCategoryName": "ASTER Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:52:33.999778-05", "doiNumber": "http://dx.doi.org/10.5067/ASTER/AST_L1T.003", "ingestFrequency": "P1D", "keywords": "None,Earth Observing System (EOS),TERRA,ASTER,Imagery,U.S. Geological Survey (USGS),Image Map,ISO 19115 Category,010,imageryBaseMapsEarthCover", "legacyId": 9380, "sceneCount": 3775029, "spatialBounds": {"north": 84.7511999536008, "east": 180.01, "south": -85.2374999459336, "west": -180.01}, "temporalCoverage": "[\"2000-03-04 20:34:04-06\",\"2021-02-28 23:21:20-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The global land 1-km data set project represents an international effort to acquire, archive, process, and distribute 1-km AVHRR data of the entire global land surface in order to meet the needs of the international science community. A network of 29 high resolution picture transmission (HRPT) stations, along with data recorded by the National Oceanic and Atmospheric Administration (NOAA), acquired daily global land coverage from 1 April, 1992 through September 30, 1993, with the project subsequently extended through 1996. The six major participants (NOAA, ESA, USGS, NASA, CSIRO, and SMC) coordinate HRPT receiving stations to acquire and compile the data set. NOAA coordinates two HRPT receiving stations, Gilmore Creek, Alaska and Wallops Island, Virginia, and schedules the satellite's recorders to obtain local area coverage (LAC) AVHRR 1-km data over areas not covered by the other HRPT receiving stations. \r\n\r\nThis collection of over 40,000 AVHRR images has been archived and made available for distribution by the United States Geological Survey, EROS Center and the European Space Agency. \r\n ", "acquisitionStart": "1992-04-01", "acquisitionEnd": "1996-05-21", "catalogs": ["EE"], "collectionName": "AVHRR Global 1K", "collectionLongName": "Advanced Very High Resolution Radiometer Mosaics 1979 to present", "datasetId": "5e839fb1eb886cac", "datasetAlias": "avhrr_1k_global_comp", "datasetCategoryName": "AVHRR", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:53:21.423524-05", "doiNumber": "https://doi.org/10.5066/F7K35S5K", "ingestFrequency": null, "keywords": "None,Imagery,High Resolution Picture Transmission (HRPT),U.S. Geological Survey (USGS) ,Level 1B,Global,AVHRR,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 5220, "sceneCount": 0, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Remote Sensing Phenology (RSP) collection is a set of nine annual phenological metrics for the conterminous United States. Researchers at the USGS EROS Center utilize data gathered by satellite sensors to track seasonal changes in vegetation. The satellite sensors that provide the raw data are the Advanced Very High Resolution Radiometer (AVHRR) from National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites. The satellite data are initially transformed into Normalized Difference Vegetation Index (NDVI) values. AVHRR NDVI provide the foundation for the phenology metrics. Time-series NDVI can be summarized and analyzed to produce nine key phenological indicators that represent a complete growing season. These data represent a powerful tool for documenting plant life-cycle trends over time and detecting the impacts of climate change on ecosystems.\r\n\r\nThe complete set of phenological metrics are as follows: 1. Start of Season Time (SOST): starting time of the onset of the growing season (in day of the year). 2. Start of Season NDVI (SOSN): NDVI value at the starting time of the onset of the growing season (unitless- based on NDVI units). 3. End of Season Time (EOST): ending time of the growing season (in day of the year). 4. End of Season NDVI (EOSN): NDVI value at the ending time of the growing season (unitless-based on NDVI units). 5. Maximum Time (MAXT): the day of the year when the NDVI reaches its maximum during the growing season (in day of the year). 6. Maximum NDVI (MAXN): the highest (or peak) value in NDVI observed in a growing season (unitless-based on NDVI units). 7. Duration (DUR): the length of the growing season-the time between the start of season and end of season (in number of days). 8. Amplitude (AMP): the difference between the Maximum NDVI and NDVI at the day of start of season (unitless-based on NDVI units). 9. Time Integrated NDVI (TIN): the cumulative value of NDVI from the start to the end of the growing season.", "acquisitionStart": "1989-01-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "AVHRR Phenology", "collectionLongName": "Advanced Very High Resolution Radiometer Phenology: 2001-Present", "datasetId": "5e839fcd64443eb4", "datasetAlias": "avhrr_phen_metrics", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:53:49.494751-05", "doiNumber": "https://doi.org/10.5066/F7FB51GP", "ingestFrequency": "P1D", "keywords": "Maximum NDVI (MAXN),Maximum Time (MAXT),End of Searson NDVI (EOSN),Start of Season NDVI (SOSN),End of Season Time (EOST),Start of Season Time (SOST),Vegetation,Phenology,Normalized Difference Vegetation Index (NDVI), Advanced Very High Resolution Radiometer (AVHRR),Amplitude (AMP),Time Integrated NDVI (TIN)", "legacyId": 9300, "sceneCount": 25, "spatialBounds": {"north": 48.4130518847081, "east": -65.3846500258195, "south": 22.4693946703325, "west": -128.540049136566}, "temporalCoverage": "[\"1989-01-04 00:00:00-06\",\"2013-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "This data set identifies both the presence of non-ocean surface water, and specific surface water conditions of the Earth\u00bfs surface at the time of a Landsat acquisition.", "acquisitionStart": "1984-05-26", "acquisitionEnd": null, "catalogs": ["EE", "LPCS"], "collectionName": "Dynamic Surface Water Extent", "collectionLongName": "U.S. Landsat 4-8 Dynamic Surface Water Extent (DSWE) Landsat Science Product Tiles (Albers projection)", "datasetId": "5e83a05842506dc0", "datasetAlias": "sp_tile_dswe", "datasetCategoryName": "Landsat Collection 1 Level-3", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 14:56:08.256219-05", "doiNumber": "https://doi.org/10.5066/F7445KQK", "ingestFrequency": "P1D", "keywords": "ISO 19115 Topic Category imageryBaseMapEarthCover,Image Collections and Multispectral Imaging,Land Use and Land Cover,Geospatial Analysis,Water,Dynamic Surface Water Extent,Remote Sensing", "legacyId": 16081, "sceneCount": 1628641, "spatialBounds": {"north": 72.3004774171, "east": -64.4304818031, "south": 18.5125418159, "west": -174.811305636}, "temporalCoverage": "[\"1982-11-11 00:00:00-06\",\"2021-02-08 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from five sensors: Operational Land Imager, Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. This newest version combines all of the GLS data into one collection which has all of the combined collections. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. The datasets have been improved in order to give spatial continuity across all decadal collections. Most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This collection provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.", "acquisitionStart": "1972-07-25", "acquisitionEnd": "2012-01-30", "catalogs": ["EE", "GV"], "collectionName": "Global Land Survey", "collectionLongName": "Global Land Survey", "datasetId": "5e7c4182eba11e53", "datasetAlias": "gls_all", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-26 00:45:38.587013-05", "doiNumber": "https://doi.org/10.5066/F7M32TQB", "ingestFrequency": null, "keywords": "Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Global Land Survey (GLS),Landsat,Satellite Imagery,Remotely Sensed Imagery,Landsat 5 Thematic Mapper (TM),Visible Wavelengths,Thermal Wavelengths,Infrared Wavelengths", "legacyId": 13869, "sceneCount": 42992, "spatialBounds": {"north": 82.6855268254304, "east": 180.01, "south": -69.3502337564158, "west": -180.01}, "temporalCoverage": "[\"1972-07-25 00:00:00-05\",\"2012-01-30 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) Emergency Operations, in support of the Department of Homeland Security, provides imagery and resources for use in disaster preparations, rescue and relief operations, damage assessments, and reconstruction efforts. A variety of products, however, not limited to, include: multiple types of satellite and aerial imagery, maps, products, presentations and data source documents.", "acquisitionStart": "2020-03-31", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "High Resolution Orthoimagery", "collectionLongName": "Master Collection of HDDS data", "datasetId": "5e83db5ec8cae44b", "datasetAlias": "hdds_baseline", "datasetCategoryName": "Baseline", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:58.885151-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Imagery,Earth Resources Observation and Science (EROS) Center,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 5303, "sceneCount": 487147, "spatialBounds": {"north": 64.878493, "east": 175.004797, "south": -38.136708999995, "west": -158.304915}, "temporalCoverage": "[\"2000-03-01 00:00:00-06\",\"2013-03-13 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Commercial Data Purchases (UCDP) imagery collection is an archive of commercial remote sensing imagery from several different commercial vendors. The UCDP imagery is located at the Earth Resources Observation & Science (EROS) Center. This collection of imagery supports the Commercial Remote Sensing Space Policy (CRSSP).\r\n\r\nThe overall goal of the UCDP imagery collection is to provide data to qualified users, primarily federal agencies at no cost or at a nominal cost. Limitations on which users have access to use/purchase copies of the imagery are based on vendor licensing for individual images. Users are allowed to search all UCDP imagery in the archive, but are restricted to only ordering properly licensed images. Users have the option to purchase imagery license upgrades for imagery not currently licensed appropriately for their federal agency. The Commercial Remote Sensing Data Contracts (CRSDC), available through the USGS, handles the imagery license upgrades. The imagery license upgrades enable federal users to purchase and use a copy of the imagery at a nominal fee.\r\n\r\nCopies of the current imagery can be downloaded/purchased from EarthExplorer. Users can not specify processing parameters for the imagery. (e.g. if an IKONOS image was originally purchased from Space Imaging as a \"Standard Ortho\" product, UTM projection, WGS84 Datum, and GeoTiff format, those are the only parameters available for that image.)\r\n\r\nCurrent USGS Commercial Data Purchases (UCDP) imagery includes IKONOS imagery from Space Imaging, QuickBird Imagery from DigitalGlobe and OrbView imagery from ORBIMAGE.", "acquisitionStart": "2004-08-03", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "IKONOS-2", "collectionLongName": "Publicly Available IKONOS-2 Commercial Imagery", "datasetId": "5e83d023ae36bbed", "datasetAlias": "non_commercial_orderable_ik", "datasetCategoryName": "Commercial Satellites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:20:03.091076-05", "doiNumber": "https://doi.org/10.5066/P94ESONJ", "ingestFrequency": "P1D", "keywords": "None,Commercial Data Purchases,IKONOS-2,IKONOS,QUICKBIRD,QuickBird-2,Imagery,USGS,Multispectral,Pan,OrbImage,Digital Globe,Space Imaging,Sub-meter Resolution Imagery,High Resolution Imagery,OrbView,Commercial Remote Sensing Data,Orthorectified,MSI,Panchromatic,Land Surface", "legacyId": 3431, "sceneCount": 259, "spatialBounds": {"north": 63.8276785910839, "east": 98.3274779863059, "south": -7.46414782559441, "west": -158.37763041146}, "temporalCoverage": "[\"2004-08-03 00:00:00-05\",\"2006-11-17 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. Landsat 8, launched February 11, 2013, is the latest Landsat sensor.", "acquisitionStart": "2013-04-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC", "GV"], "collectionName": "Landsat 8 OLI/TIRS C1 Level-1", "collectionLongName": "Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 1 Level-1", "datasetId": "5e83d0b656b77cf3", "datasetAlias": "landsat_8_c1", "datasetCategoryName": "Landsat Collection 1 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 18:22:32.798402-05", "doiNumber": "https://doi.org/10.5066/F71835S6", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Earth Science,Infrared Wavelengths,Infrared Imagery,Imagery ,Earth Resources Observation and Science (EROS) Center,Coastal Aerosol ,Visible Imagery,U.S. Geological Survey (USGS),Thermal Infrared Sensor (TIRS),Landsat 8 Collection 1,Operational Land Imager (OLI),Radiance,Remote Sensing,Satellite,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 12864, "sceneCount": 1983671, "spatialBounds": {"north": 84.44182683484, "east": 180.01, "south": -84.5713768075993, "west": -180.01}, "temporalCoverage": "[\"2013-03-08 00:00:00-06\",\"2021-03-09 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. Landsat 8, launched February 11, 2013, is the latest Landsat sensor.", "acquisitionStart": "2013-03-30", "acquisitionEnd": null, "catalogs": ["EE", "LPCS"], "collectionName": "Landsat 8 OLI/TIRS C1 Level-2", "collectionLongName": "Landsat 8 Collection 1 Level-2 Scene Products (Surface Reflectance)", "datasetId": "5e83d2bcefa3599", "datasetAlias": "lsr_landsat_8_c1", "datasetCategoryName": "Landsat Collection 1 Level-2 (On-demand)", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 18:31:10.770956-05", "doiNumber": "https://doi.org/10.5066/F78S4MZJ", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Earth Science,Infrared Wavelengths,Infrared Imagery,Imagery ,Earth Resources Observation and Science (EROS) Center,Coastal Aerosol ,Visible Imagery,U.S. Geological Survey (USGS),Thermal Infrared Sensor (TIRS),Landsat 8 Collection 1,Operational Land Imager (OLI),Radiance,Remote Sensing,Satellite,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 13400, "sceneCount": 1937550, "spatialBounds": {"north": 84.44182683484, "east": 180.01, "south": -84.5713768075993, "west": -180.01}, "temporalCoverage": "[\"2013-04-11 00:00:00-05\",\"2021-03-09 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. Landsat 8, launched February 11, 2013, is the latest Landsat sensor.", "acquisitionStart": "2013-04-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 8 OLI/TIRS C2 L1", "collectionLongName": "Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 2 Level-1", "datasetId": "5e81f14f59432a27", "datasetAlias": "landsat_ot_c2_l1", "datasetCategoryName": "Landsat Collection 2 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:25:17.792607-06", "doiNumber": "https://doi.org/10.5066/P975CC9B", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Earth Science,Infrared Wavelengths,Infrared Imagery,Imagery ,Earth Resources Observation and Science (EROS) Center,Coastal Aerosol ,Visible Imagery,U.S. Geological Survey (USGS),Thermal Infrared Sensor (TIRS),Landsat 8 Collection 1,Operational Land Imager (OLI),Radiance,Remote Sensing,Satellite,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 9825, "sceneCount": 1982452, "spatialBounds": {"north": 84.44182683484, "east": 197.57652842471, "south": -84.5713768075993, "west": -180.009966964847}, "temporalCoverage": "[\"2013-03-08 00:00:00-06\",\"2021-03-09 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. Landsat 8, launched February 11, 2013, is the latest Landsat sensor.", "acquisitionStart": "2013-04-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 8 OLI/TIRS C2 L2", "collectionLongName": "Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 2 Level-2", "datasetId": "5e83d14f2fc39685", "datasetAlias": "landsat_ot_c2_l2", "datasetCategoryName": "Landsat Collection 2 Level-2", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:29:18.381513-06", "doiNumber": "https://doi.org/10.5066/P9OGBGM6 ", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Earth Science,Infrared Wavelengths,Infrared Imagery,Imagery ,Earth Resources Observation and Science (EROS) Center,Coastal Aerosol ,Visible Imagery,U.S. Geological Survey (USGS),Thermal Infrared Sensor (TIRS),Landsat 8 Collection 1,Operational Land Imager (OLI),Radiance,Remote Sensing,Satellite,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 9885, "sceneCount": 1731215, "spatialBounds": {"north": 84.44182683484, "east": 194.444152275841, "south": -84.5179167308749, "west": -180.009966964847}, "temporalCoverage": "[\"2013-03-18 00:00:00-05\",\"2021-02-27 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Terra and Aqua combined MCD64A1 Burned Area data product is a monthly, Level 3 gridded 500 meter product containing per-pixel burning and quality information. The MCD64A1 mapping approach employs 500 meter MODIS Surface Reflectance imagery coupled with 1 kilometer MODIS active fire observations. The algorithm uses a burn sensitive vegetation index (VI) to create dynamic thresholds that are applied to the composite imagery. The VI is derived from MODIS short-wave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm ultimately identifies the date of burn for the 500 meter grid cells within each individual MODIS tile.", "acquisitionStart": "2000-11-01", "acquisitionEnd": "2017-01-01", "catalogs": ["EE"], "collectionName": "MODIS MCD64A1 V6", "collectionLongName": "MODIS/Terra and Aqua MCD64A1 Burned Area Monthly L3 Global 500 m SIN Grid Version 6", "datasetId": "5e83dd5824d4845f", "datasetAlias": "modis_mcd64a1_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:24.718846-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD64A1.006", "ingestFrequency": null, "keywords": "Land,Terra,MODIS,Moderate Resolution Imaging Spectroradiometer,Thermal Anomalies and Fire,Aqua", "legacyId": 13700, "sceneCount": 0, "spatialBounds": {"north": 75.6099999982152, "east": 180.01, "south": -60.0990997168794, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD09A1 V6", "collectionLongName": "MODIS/TERRA MOD09A1 Surface Reflectance 8-Day L3 Global 500m Version 6", "datasetId": "5e83dd7f9bd84016", "datasetAlias": "modis_mod09a1_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:03.098595-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD09A1.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10543, "sceneCount": 283780, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "PreEvent_EM_3279_CA_FIRE", "collectionLongName": "PreEvent_EM_3279_CA_FIRE", "datasetId": "5ee6cd508eb36920", "datasetAlias": "event32", "datasetCategoryName": "2007 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7506, "sceneCount": 1270103, "spatialBounds": {"north": 36.013892, "east": -115.985725, "south": 32.440258, "west": -120.702828}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. ", "acquisitionStart": "2013-08-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "UAS - Raw", "collectionLongName": "Unmanned Aircraft Systems - Raw Photography", "datasetId": "5e83d3abb504770b", "datasetAlias": "uas_raw", "datasetCategoryName": "UAS", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:35:07.721316-05", "doiNumber": "https://doi.org/10.5066/P9XA9T50\u00a0", "ingestFrequency": "P1D", "keywords": "Support Documents,U.S. Geological Survey (USGS),Unmanned Aircraft Systems (UAS) Project Office,Photograph,Earth Resources Observation and Science (EROS) Center,Digital Elevation Model (DEM),Point Cloud,Orthophotographs,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 13362, "sceneCount": 468152, "spatialBounds": {"north": 48.110323, "east": -71.663236, "south": 31.747267, "west": -123.623222}, "temporalCoverage": "[\"1980-01-01 00:00:33-06\",\"2020-06-09 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200808_Hurricane_Gustav", "collectionLongName": "200808_Hurricane_Gustav", "datasetId": "5ee6c52d764ee74f", "datasetAlias": "event273", "datasetCategoryName": "2008 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200911_Floods_ElSalvador", "collectionLongName": "200911_Floods_ElSalvador", "datasetId": "5ee6c53ecaff0bd9", "datasetAlias": "event363", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6709, "sceneCount": 1270103, "spatialBounds": {"north": 14.344456, "east": -88.267452, "south": 13.155562, "west": -89.152589}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201012_Floods_Colombia", "collectionLongName": "201012_Floods_Colombia", "datasetId": "5ee6c55d7f5f527b", "datasetAlias": "event631", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6489, "sceneCount": 1270103, "spatialBounds": {"north": 11.075843996365, "east": -73.5966140924386, "south": 9.14702900247378, "west": -75.8852699635072}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201112_NRDA", "collectionLongName": "201112_NRDA", "datasetId": "5ee6c5d4cceac337", "datasetAlias": "event742", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6243, "sceneCount": 1270103, "spatialBounds": {"north": 30.854827, "east": -83.854566, "south": 28.850182, "west": -93.90677}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201212_Typhoon_Bopha_Philippines", "collectionLongName": "201212_Typhoon_Bopha_Philippines", "datasetId": "5ee6c61f89ac4c5a", "datasetAlias": "event851", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6080, "sceneCount": 1270103, "spatialBounds": {"north": 12.5275497640115, "east": 127.200669841769, "south": 4.83166000990703, "west": 120.947220064316}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201312_Floods_Gaza", "collectionLongName": "201312_Floods_Gaza", "datasetId": "5ee6c67c6605b963", "datasetAlias": "event963", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7100, "sceneCount": 1270107, "spatialBounds": {"north": 32.8039397617934, "east": 35.0962975449221, "south": 30.6599502117631, "west": 32.616200078794}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201412_Typhoon_Hagupit_PHL", "collectionLongName": "201412_Typhoon_Hagupit_PHL", "datasetId": "5ee6c6cd2ee2ffb9", "datasetAlias": "event1060", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8640, "sceneCount": 1270103, "spatialBounds": {"north": 19.8708588346328, "east": 127.50801985637, "south": 7.60895000243313, "west": 118.174680141845}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Tornado_Central_US", "collectionLongName": "201512_Tornado_Central_US", "datasetId": "5ee6c73e369c66b", "datasetAlias": "event1167", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10743, "sceneCount": 1270103, "spatialBounds": {"north": 38.5631191758411, "east": -94.2018709707789, "south": 32.0579719520142, "west": -102.255521812841}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201612_Earthquake_IDN", "collectionLongName": "201612_Earthquake_IDN", "datasetId": "5ee6c77c70cae54a", "datasetAlias": "event1284", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12820, "sceneCount": 1270103, "spatialBounds": {"north": 6.87551, "east": 98.448139995099, "south": 3.126148, "west": 94.4570800186455}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201711_Earthquake_KOR", "collectionLongName": "201711_Earthquake_KOR", "datasetId": "5ee6c7d152d0ccca", "datasetAlias": "event1364", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14529, "sceneCount": 1270103, "spatialBounds": {"north": 37.744715, "east": 131.269305, "south": 33.804158, "west": 127.492428}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201812_OilSpill_US", "collectionLongName": "201812_OilSpill_US", "datasetId": "5ee6c8eccb6b91da", "datasetAlias": "event2094", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15963, "sceneCount": 1270103, "spatialBounds": {"north": 36.0967569995373, "east": -84.1042712410376, "south": 27.7684309651701, "west": -97.4209789892349}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201912_Missing_Aircraft_Antarctic", "collectionLongName": "201912_Missing_Aircraft_Antarctic", "datasetId": "5ee6c9bf5acce063", "datasetAlias": "event3613", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17380, "sceneCount": 1270103, "spatialBounds": {"north": -55.00381, "east": -50.588817, "south": -61.006101, "west": -68.046712}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202012_Cyclone_Yasa_FJI", "collectionLongName": "202012_Cyclone_Yasa_FJI", "datasetId": "5fd8c240ea313069", "datasetAlias": "event2961", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 615, "spatialBounds": {"north": -16.2617263400935, "east": 179.983558716535, "south": -19.8641096211974, "west": 176.243970080826}, "temporalCoverage": "[\"2019-07-08 00:00:00-05\",\"2021-01-25 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202102_Flood_CHL", "collectionLongName": "202102_Flood_CHL", "datasetId": "60219abea6774a0b", "datasetAlias": "event2973", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 95, "spatialBounds": {"north": -32.1022408572604, "east": -67.8586408063037, "south": -35.2050691, "west": -72.4150121}, "temporalCoverage": "[\"2020-04-01 00:00:00-05\",\"2021-02-22 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "USGS and Non USGS Agencies Aerial Photo Reference Mosaics inventory contains indexes to aerial photographs. The inventory contains imagery from various government agencies that are now archived at the USGS Earth Resources Observation and Science (EROS) Center. The film types, scales, and acquisition schedules differed according to project requirements. Low-, middle-, and high-altitude photographs were collected.\r\n ", "acquisitionStart": "1937-10-24", "acquisitionEnd": "1989-03-22", "catalogs": ["EE"], "collectionName": "Aerial Photo Mosaics", "collectionLongName": "Aerial Photo Mosaics = Photo Indexes and Map-Line Plots: Pre 1990", "datasetId": "5e83d8c98ce09e2", "datasetAlias": "aerial_combin_index", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:56:58.010115-05", "doiNumber": "https://doi.org/10.5066/F72805WQ", "ingestFrequency": null, "keywords": "None,Non USGS,Indexes,Johnson Space Center (JSC),Bureau of Land Management (BLM),Ames,Photos,Bureau of Reclamation (BOR),Photography,Aerial,Earth Resources Observation and Science (EROS),Photo Mosaic,Imagery,National Park Service (NPS),Reconnaissance,EROS Data Center (EDC)", "legacyId": 3071, "sceneCount": 0, "spatialBounds": {"north": 71.351, "east": 174.201, "south": -14.401, "west": -170.901}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The first Earth Observing System (EOS) satellite called Terra (previously AM-1) was launched on December 18, 1999. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is one of the five state-of-the-art instrument sensor systems on-board Terra (built by METI) with a unique combination of wide spectral coverage and high spatial resolution in the visible near-infrared through shortwave infrared to the thermal infrared regions. Images are acquired in 14 spectral bands using three separate telescopes and sensor systems. These include three visible and near-infrared (VNIR) bands with a spatial resolution of 15 meters (m), six short-wave-infrared (SWIR) bands with a spatial resolution of 30m, and five thermal infrared (TIR) bands that have a spatial resolution of 90 m. VNIR Band3 also is acquired using a backward-looking telescope, thus providing along-track stereo coverage from which high-quality digital elevation models (DEMs) are generated as one of a suite of ASTER standard data products. ASTER DEM standard data products are produced with 30m postings, and have Z accuracies generally between 10 m and 25 m root mean square error (RMSE).The development project of the ASTER Ground Data System (ASTER GDS) began in fiscal year 1994. The ASTER Global DEM (GDEM) was released to the public on June 29, 2009.", "acquisitionStart": "2000-03-01", "acquisitionEnd": "2000-03-01", "catalogs": ["EE"], "collectionName": "ASTER Global DEM V3", "collectionLongName": "ASTER Global Digital Elevation Model 1 arc second Version 3", "datasetId": "5e839f73df6fb1d4", "datasetAlias": "aster_global_dem_v3", "datasetCategoryName": "ASTER Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:52:19.818007-05", "doiNumber": "https://doi.org/10.5067/ASTER/ASTGTM.003", "ingestFrequency": null, "keywords": "None,DEM,Digital Elevation Model,JAROS,Japan Resources Observation System Organization,METI,Ministry of Economy Trade and Industry,NASA,National Aeronautics and Space Administration,ASTER,Advanced Spaceborne Thermal Emission and Reflection Radiometer,LP DAAC,Land Processes Distributed Active Archive Center,ISO 19115 Category,imageryBaseMapsEarthCover,010,American Society of Photogrammetry and Remote Sensing,National Standards for Spatial Digital Accuracy (NSSDA)", "legacyId": 17860, "sceneCount": 22912, "spatialBounds": {"north": 83.0101, "east": 180.01, "south": -83.0101, "west": -180.01}, "temporalCoverage": "[\"2000-03-01 00:00:00-06\",\"2000-03-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Normalized Difference Vegetation Index (NDVI) Composites are produced from multiple Advanced Very High Resolution Radiometer (AVHRR) daily observations that have been composited together to create a nearly cloud-free image showing maximum greenness. An NDVI ratio is produced from bands one and two of the AVHRR composite to produce a derived NDVI band composite.\r\nNormalized Difference Vegetation Index (NDVI) Composites are produced from multiple Advanced Very High Resolution Radiometer (AVHRR) daily observations that have been composited together to create a nearly cloud-free image showing maximum greenness. An NDVI ratio is produced from bands one and two of the AVHRR composite to produce a derived NDVI band composite.\r\nThe following NDVI products are available:\r\nConterminous U.S. and Alaska Weekly and biweekly NDVI composites date from January 1989 to present. U.S. composites are cast to the Lambert Azimuthal Equal-Area projection. Alaska composites are cast to the Albers Equal-Area Conic projection. Distribution of the NDVI composites depends on the age of the image: \r\n\t7- and 14-day (current) NDVI composites are weekly and biweekly updates produced within the last four weeks. The data includes a composite for each of the acquired AVHRR bands, as well as a derived NDVI band.\r\n\t7- and 14-day (recent) NDVI composites are weekly and biweekly updates produced from the end of the previous year until four weeks prior to present. The data includes a composite for each of the acquired AVHRR bands, as well as a derived NDVI band.\r\n 14-day (historical) NDVI composites consist of biweekly composites produced from January 1989 to the end of the previous year. The data includes a composite for each of the acquired AVHRR bands, as well as a derived NDVI band. Satellite zenith, solar zenith, relative azimuth, and acquisition dates are also provided.\r\n", "acquisitionStart": "1989-01-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "AVHRR Composites", "collectionLongName": "AVHRR Composites = Advanced Very High Resolution Radiometer U.S. Alaska: 1989 - Present", "datasetId": "5e839fa36a2c46e", "datasetAlias": "avhrr_composite", "datasetCategoryName": "AVHRR", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:53:07.165681-05", "doiNumber": "https://doi.org/10.5066/F7707ZKN", "ingestFrequency": "P1D", "keywords": "GCMD Keyword Thesaurus,Level 1B,AVHRR,Raster,AVHRR > Advanced Very High Resolution Radiometer,USGS,Digital Image,EDC,Earth Science > Radiance or Imagery > Visible Wavelengths > Visible Imagery,HRPT,Satellite,EROS,Radiance,Imagery,LAC,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery,NOAA POES > NOAA Polar Orbiting Environmental Satellites", "legacyId": 2751, "sceneCount": 4639, "spatialBounds": {"north": 70.0540732587953, "east": -65.3846501258153, "south": 22.4693930703503, "west": -179.874418815492}, "temporalCoverage": "[\"1989-01-04 00:00:00-06\",\"2019-10-22 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "EM_3279_CA_FIRE", "collectionLongName": "EM_3279_CA_FIRE", "datasetId": "5ee6cd5dce487fdc", "datasetAlias": "event30", "datasetCategoryName": "2007 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7508, "sceneCount": 1270103, "spatialBounds": {"north": 34.488128, "east": -116.444306, "south": 32.409083, "west": -118.917713860414}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "This data set describes where Fractional Snow Covered Areas occurred in U.S. Landsat Analysis Ready Data (ARD) tile composites.", "acquisitionStart": "1984-05-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Fractional Snow Covered Area", "collectionLongName": "U.S. Landsat 4-8 Fractional Snow Covered Area (fSCA) Landsat Science Product Tiles (Albers projection)", "datasetId": "5e83a13dc1e52cd7", "datasetAlias": "sp_tile_fsca", "datasetCategoryName": "Landsat Collection 1 Level-3", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 14:59:57.636968-05", "doiNumber": "https://doi.org/10.5066/F7XK8DS5", "ingestFrequency": "P1D", "keywords": "ISO 19115 Topic Categories imageryBaseMapsEarthCover,geospatial analysis,land use and land cover,Fractional Snow,persistent ice and snow covered area,remote sensing,Image collections and multispectral imaging", "legacyId": 16082, "sceneCount": 696054, "spatialBounds": {"north": 72.3004774171, "east": -102.930344015, "south": 30.1603473114, "west": -171.928589847}, "temporalCoverage": "[\"1982-11-12 00:00:00-06\",\"2021-02-06 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA), with funding from the National Science Foundation (NSF), created a Landsat mosaic of Antarctica (LIMA) from more than 1,000 Landsat ETM+ scenes. This collection contains the individual Landsat scenes that were used in the LIMA mosaic.\r\n\r\nIn support of the International Polar Year (IPY 2007-2008), LIMA is a virtually cloudless, seamless, and high resolution satellite view of Antarctica. The mosaic can be accessed through the LIMA.USGS.GOV site.\r\n", "acquisitionStart": "1999-09-27", "acquisitionEnd": "2006-12-11", "catalogs": ["EE"], "collectionName": "GLS LIMA (Antarctica)", "collectionLongName": "Landsat Image Mosaic of Antarctica (1999-2006)", "datasetId": "5e83a1e6ff0218d9", "datasetAlias": "lima", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:02:46.813334-05", "doiNumber": "https://doi.org/10.5066/P9TEIU3H", "ingestFrequency": null, "keywords": "None,Landsat 7,Remote Sensing,Earth Science,Visible Wavelengths,Visible Imagery,Infrared Wavelengths,Infrared Imagery,Global Land Survey ,Landsat Image Mosaic of Antarctica (LIMA),U.S. Geological Survey (USGS),British Antarctic Survey (BAS),National Aeronautics and Space Administration (NASA),National Science Foundation (NSF),Satellite", "legacyId": 3151, "sceneCount": 0, "spatialBounds": {"north": -59.8443835092669, "east": 180.001, "south": -84.2522510698509, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1999-05-28", "acquisitionEnd": null, "catalogs": ["EE", "CWIC", "GV"], "collectionName": "Landsat 7 ETM+ C1 Level-1", "collectionLongName": " Landsat 7 Enhanced Thematic Mapper Plus Collection 1 Level-1", "datasetId": "5e83a506f72553b6", "datasetAlias": "landsat_etm_c1", "datasetCategoryName": "Landsat Collection 1 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 15:16:07.344505-05", "doiNumber": "https://doi.org/10.5066/F7WH2P8G", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Enhanced Thematic Mapper (ETM),Landsat,Infrared Imagery,Radiance,Landsat 7 ETM+ Collection 1,Remote Sensing,Thematic Mapper,Satellite,Visible Imagery,Earth Science,Infrared Wavelengths,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 12267, "sceneCount": 2936952, "spatialBounds": {"north": 82.9678793008719, "east": 180.01, "south": -82.7224968925847, "west": -180.01}, "temporalCoverage": "[\"1999-05-28 00:00:00-05\",\"2021-03-09 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1999-05-28", "acquisitionEnd": null, "catalogs": ["EE", "LPCS"], "collectionName": "Landsat 7 ETM+ C1 Level-2", "collectionLongName": "Landsat 7 Collection 1 Level-2 Scene Products (Surface Reflectance)", "datasetId": "5e83d2ab5110f242", "datasetAlias": "lsr_landsat_etm_c1", "datasetCategoryName": "Landsat Collection 1 Level-2 (On-demand)", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 18:30:52.575621-05", "doiNumber": "https://doi.org/10.5066/F7Q52MNK", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Enhanced Thematic Mapper (ETM),Landsat,Infrared Imagery,Radiance,Landsat 7 ETM+ Collection 1,Remote Sensing,Thematic Mapper,Satellite,Visible Imagery,Earth Science,Infrared Wavelengths,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 13350, "sceneCount": 2865358, "spatialBounds": {"north": 82.9518992953782, "east": 180.01, "south": -82.7224968925847, "west": -180.01}, "temporalCoverage": "[\"1999-05-28 00:00:00-05\",\"2020-12-13 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1999-07-23", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 7 ETM+ C2 L1", "collectionLongName": "Landsat 7 Enhanced Thematic Mapper Plus Collection 2 Level-1", "datasetId": "5e83d0d02b146ae0", "datasetAlias": "landsat_etm_c2_l1", "datasetCategoryName": "Landsat Collection 2 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:22:27.328551-06", "doiNumber": "https://doi.org/10.5066/P9TU80IG ", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Enhanced Thematic Mapper (ETM),Landsat,Infrared Imagery,Radiance,Landsat 7 ETM+ Collection 1,Remote Sensing,Thematic Mapper,Satellite,Visible Imagery,Earth Science,Infrared Wavelengths,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 9826, "sceneCount": 2939499, "spatialBounds": {"north": 82.8303968653213, "east": 194.178290063112, "south": -82.7224968925847, "west": -180.009015895375}, "temporalCoverage": "[\"1999-05-28 00:00:00-05\",\"2021-03-09 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1999-07-23", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 7 ETM+ C2 L2", "collectionLongName": "Landsat 7 Enhanced Thematic Mapper Plus Collection 2 Level-2", "datasetId": "5e83d12add5d4aa1", "datasetAlias": "landsat_etm_c2_l2", "datasetCategoryName": "Landsat Collection 2 Level-2", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:28:04.739609-06", "doiNumber": "https://doi.org/10.5066/P9C7I13B", "ingestFrequency": "P1D", "keywords": "None,Visible Wavelengths,Enhanced Thematic Mapper (ETM),Landsat,Infrared Imagery,Radiance,Landsat 7 ETM+ Collection 1,Remote Sensing,Thematic Mapper,Satellite,Visible Imagery,Earth Science,Infrared Wavelengths,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 9886, "sceneCount": 2801109, "spatialBounds": {"north": 82.7691168714422, "east": 194.178290063112, "south": -82.7186971038715, "west": -180.009015895375}, "temporalCoverage": "[\"1999-05-28 00:00:00-05\",\"2020-11-08 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD09CMG V6", "collectionLongName": "MODIS/TERRA MOD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd55b647881", "datasetAlias": "modis_mod09cmg_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:21.269969-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD09CMG.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10544, "sceneCount": 7626, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. Information on individual MODIS Thermal Anomalies and Fire Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A12.", "acquisitionStart": "2000-12-31", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD14 V6", "collectionLongName": "MODIS/TERRA MOD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km Version 6", "datasetId": "5e83dd881d8d1f84", "datasetAlias": "modis_mod14_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:14.297144-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MOD14.006", "ingestFrequency": "P1D", "keywords": "Thermal Anomalies and Fire,Aqua,Moderate Resolution Imaging Spectroradiometer,MODIS,Land,Terra", "legacyId": 10944, "sceneCount": 2182719, "spatialBounds": {"north": 87.8099999477066, "east": 180.01, "south": -88.4993984422137, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-08 05:55:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "National Oceanic and Atmospheric Administration (NOAA) Climate Data Records (CDR) provide historical climate information using data from weather satellites. This dataset contains daily Normalized Difference Vegetation Index (NDVI) derived from surface reflectance data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor. This long-term record spans from 1981 to 2013 and utilizes AVHRR data from seven NOAA polar orbiting satellites: NOAA 7, 9, 11, 14, 16, and 18. This NDVI collection provides the global change and resource management communities with vegetation data for historical trend analysis and vegetation monitoring studies for land surfaces around the globe.", "acquisitionStart": "1981-06-24", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NOAA CDR NDVI", "collectionLongName": "NOAA Climate Data Record Normalized Difference Vegetation Index: 1981-2013", "datasetId": "5e83de6c75e9dc8a", "datasetAlias": "noaa_cdr", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:21:00.905289-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Normalized Difference Vegetation Index (NDVI),Land,Vegetation", "legacyId": 9700, "sceneCount": 11842, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"1981-06-24 00:00:00-05\",\"2013-12-31 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. ", "acquisitionStart": "2013-08-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "UAS - Ortho", "collectionLongName": "Unmanned Aircraft Systems - Orthoimagery", "datasetId": "5e83a46c2a0eddfa", "datasetAlias": "uas_ortho", "datasetCategoryName": "UAS", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:13:32.440497-05", "doiNumber": "https://doi.org/10.5066/P97SVEMY", "ingestFrequency": "P1D", "keywords": "Support Documents,U.S. Geological Survey (USGS),Unmanned Aircraft Systems (UAS) Project Office,Photograph,Earth Resources Observation and Science (EROS) Center,Digital Elevation Model (DEM),Point Cloud,Orthophotographs,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 13361, "sceneCount": 4007, "spatialBounds": {"north": 61.2651919061194, "east": -71.636653, "south": 31.713536270654, "west": -165.608383195489}, "temporalCoverage": "[\"2011-07-05 09:08:44-05\",\"2020-06-09 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) Emergency Operations, in support of the Department of Homeland Security, provides imagery and resources for use in disaster preparations, rescue and relief operations, damage assessments, and reconstruction efforts. A variety of products, however, not limited to, include: multiple types of satellite and aerial imagery, maps, products, presentations and data source documents.", "acquisitionStart": "2015-11-19", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "U.S. Forest Maps", "collectionLongName": "U.S. Forest Maps", "datasetId": "5e83df01498c940c", "datasetAlias": "hdds_forest_maps", "datasetCategoryName": "Baseline", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:23:29.726684-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Imagery,Earth Resources Observation and Science (EROS) Center,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7940, "sceneCount": 57808, "spatialBounds": {"north": 71.0141080526144, "east": -64.4889503491964, "south": 17.6137784820119, "west": -168.024569352772}, "temporalCoverage": "[\"2010-03-12 00:00:00-06\",\"2015-08-03 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "2007_Hurricane_Humberto", "collectionLongName": "2007_Hurricane_Humberto", "datasetId": "5ee6c52638f2ddb5", "datasetAlias": "event28", "datasetCategoryName": "2007 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6659, "sceneCount": 1270103, "spatialBounds": {"north": 30.198194, "east": -93.738972, "south": 29.363314, "west": -95.324206}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200808_TropicalStorm_Fay", "collectionLongName": "200808_TropicalStorm_Fay", "datasetId": "5ee6c52f1a3bf800", "datasetAlias": "event272", "datasetCategoryName": "2008 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200911_Floods_LA", "collectionLongName": "200911_Floods_LA", "datasetId": "5ee6c53f238d43c6", "datasetAlias": "event360", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6712, "sceneCount": 1270103, "spatialBounds": {"north": 33.472061, "east": -90.679805, "south": 29.119622, "west": -94.453652}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201012_Fire_Israel", "collectionLongName": "201012_Fire_Israel", "datasetId": "5ee6c55c55a87b27", "datasetAlias": "event632", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6486, "sceneCount": 1270103, "spatialBounds": {"north": 34.1530682430103, "east": 37.2270387831397, "south": 32.1816714905422, "west": 34.5037925133141}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201111_Fires_Reno", "collectionLongName": "201111_Fires_Reno", "datasetId": "5ee6c5d154a8f000", "datasetAlias": "event740", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6361, "sceneCount": 1270103, "spatialBounds": {"north": 40.388031, "east": -118.678716278353, "south": 37.9020628493501, "west": -121.550323843319}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201212_Typhoon_Bopha", "collectionLongName": "201212_Typhoon_Bopha", "datasetId": "5ee6c61eaebff07f", "datasetAlias": "event850", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6083, "sceneCount": 1270103, "spatialBounds": {"north": 9.63477999987197, "east": 136.159229953798, "south": 3.38440003218416, "west": 131.459880107813}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201312_Floods_UK", "collectionLongName": "201312_Floods_UK", "datasetId": "5ee6c67dacc089e8", "datasetAlias": "event962", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7081, "sceneCount": 1270107, "spatialBounds": {"north": 57.0031497241581, "east": 2.94151998675772, "south": 49.1611328165952, "west": -4.73119163184722}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201411_Storm_NY", "collectionLongName": "201411_Storm_NY", "datasetId": "5ee6c6cb3f0b9125", "datasetAlias": "event1059", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8620, "sceneCount": 1270103, "spatialBounds": {"north": 44.2629176341968, "east": -76.9966167380262, "south": 42.0814721521422, "west": -81.6353694946945}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Flood_Midwest_US_Charter", "collectionLongName": "201512_Flood_Midwest_US_Charter", "datasetId": "5ee6c73c330b00c6", "datasetAlias": "event1168", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10760, "sceneCount": 1270103, "spatialBounds": {"north": 40.3190778459015, "east": -90.1604361550325, "south": 30.995061801192, "west": -91.7581481358577}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201612_Tornado_US", "collectionLongName": "201612_Tornado_US", "datasetId": "5ee6c77d5dc5c017", "datasetAlias": "event1283", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12800, "sceneCount": 1270103, "spatialBounds": {"north": 37.110879126736, "east": -84.1376263285835, "south": 32.0835701978727, "west": -90.3751320511877}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201711_Earthquake_IRQ", "collectionLongName": "201711_Earthquake_IRQ", "datasetId": "5ee6c7d064a10d78", "datasetAlias": "event1362", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14523, "sceneCount": 1270103, "spatialBounds": {"north": 38.0409905976215, "east": 49.0869109151453, "south": 32.227642299208, "west": 41.5557017440138}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201812_Tornado_US", "collectionLongName": "201812_Tornado_US", "datasetId": "5ee6c8ed7e9b9846", "datasetAlias": "event2093", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15960, "sceneCount": 1270103, "spatialBounds": {"north": 48.5245299436643, "east": -84.3581330211246, "south": 32.7103730004603, "west": -125.162431984807}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201912_Landslide_UGA", "collectionLongName": "201912_Landslide_UGA", "datasetId": "5ee6c9c03a4cdb66", "datasetAlias": "event3593", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17360, "sceneCount": 1270103, "spatialBounds": {"north": 2.50285997397603, "east": 32.536186, "south": -0.990585, "west": 28.271033}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202012_Oil_Leak_Wabash_River_US", "collectionLongName": "202012_Oil_Leak_Wabash_River_US", "datasetId": "5fd0312a79745c1b", "datasetAlias": "event2960", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 19, "spatialBounds": {"north": 39.9778598161053, "east": -86.3284104181302, "south": 37.8069301677385, "west": -89.077335922507}, "temporalCoverage": "[\"2020-06-07 00:00:00-05\",\"2020-12-29 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202102_Flood_IND", "collectionLongName": "202102_Flood_IND", "datasetId": "60219d4130d60783", "datasetAlias": "event2981", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 311, "spatialBounds": {"north": 32.1788855, "east": 82.5628499, "south": 28.5966394, "west": 77.1289838}, "temporalCoverage": "[\"2015-09-28 00:00:00-05\",\"2021-03-01 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The first Earth Observing System (EOS) satellite called Terra (previously AM-1) was launched on December 18, 1999. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is one of the five state-of-the-art instrument sensor systems on-board Terra (built by METI) with a unique combination of wide spectral coverage and high spatial resolution in the visible near-infrared through shortwave infrared to the thermal infrared regions. Images are acquired in 14 spectral bands using three separate telescopes and sensor systems. These include three visible and near-infrared (VNIR) bands with a spatial resolution of 15 meters (m), six short-wave-infrared (SWIR) bands with a spatial resolution of 30m, and five thermal infrared (TIR) bands that have a spatial resolution of 90 m. VNIR Band3 also is acquired using a backward-looking telescope, thus providing along-track stereo coverage from which high-quality digital elevation models (DEMs) are generated as one of a suite of ASTER standard data products. ASTER DEM standard data products are produced with 30m postings, and have Z accuracies generally between 10 m and 25 m root mean square error (RMSE).The development project of the ASTER Ground Data System (ASTER GDS) began in fiscal year 1994. The ASTER Global DEM (GDEM) was released to the public on June 29, 2009.", "acquisitionStart": "2000-03-01", "acquisitionEnd": "2000-03-01", "catalogs": ["EE"], "collectionName": "ASTER Water Bodies Database V1", "collectionLongName": "ASTER Water Bodies Database Version 1", "datasetId": "5e83cf38a543ffd7", "datasetAlias": "astwbd", "datasetCategoryName": "ASTER Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:16:08.557477-05", "doiNumber": "https://doi.org/10.5067/ASTER/ASTWBD.001", "ingestFrequency": null, "keywords": "None,DEM,Digital Elevation Model,JAROS,Japan Resources Observation System Organization,METI,Ministry of Economy Trade and Industry,NASA,National Aeronautics and Space Administration,ASTER,Advanced Spaceborne Thermal Emission and Reflection Radiometer,LP DAAC,Land Processes Distributed Active Archive Center,ISO 19115 Category,imageryBaseMapsEarthCover,010,American Society of Photogrammetry and Remote Sensing,National Standards for Spatial Digital Accuracy (NSSDA)", "legacyId": 17861, "sceneCount": 22912, "spatialBounds": {"north": 83.0101, "east": 180.01, "south": -83.0101, "west": -180.01}, "temporalCoverage": "[\"2000-03-01 00:00:00-06\",\"2000-03-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Advanced Very High Resolution Radiometer (AVHRR) data set is comprised of data collected by the AVHRR sensor and held in the archives of the USGS Earth Resources Observation and Science [EROS) Center. Carried aboard the National Oceanic and Atmospheric Administration's Polar Orbiting Environmental Satellite series, the AVHRR sensor is a broad-band, 4- or 5- channel scanning radiometer sensing in the visible, near-infared, and thermal infrared portions of the electromagnetic spectrum.\r\n\r\nEROS houses AVHRR High Resolution Picture Transmission (HRPT) data and Local Area Coverage (LAC) data. The HRPT data are full resolution image data transmitted to a ground station as they are collected, while LAC data (also full resolution data) are recorded with an onboard tape recorder for subsequent transmission during a station overpass.", "acquisitionStart": "1992-04-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "AVHRR Orbital Segment", "collectionLongName": "AVHRR Orbital Segment = NOAA's Advanced Very High Resolution Radiometer Files: 1992 - 2000", "datasetId": "5e839fc3efec78b8", "datasetAlias": "avhrr_orbseg", "datasetCategoryName": "AVHRR", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:53:39.516129-05", "doiNumber": "https://doi.org/10.5066/F7K35S5K", "ingestFrequency": "P1D", "keywords": "None,Infrared Wavelengths ,Infrared Imagery,Radiance,Imagery,LAC,Earth Science,Digital Image,EDC,U.S. Geological Survey (USGS) ,NOAA POES > NOAA Polar Orbiting Environmental Satellites,AVHRR > Advanced Very High Resolution Radiometer,Raster,Level 1B,Earth Resources Observation and Science (EROS) Center,Satellite,HRPT", "legacyId": 2931, "sceneCount": 31461, "spatialBounds": {"north": 85.8099999772201, "east": 180.01, "south": -85.009999997301, "west": -180.01}, "temporalCoverage": "[\"1992-04-01 00:00:00-06\",\"1999-09-30 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by Landsat 4 and 5. All Landsat data held in the USGS EROS archive are available for download at no charge.", "acquisitionStart": "1982-11-25", "acquisitionEnd": null, "catalogs": ["EE", "CWIC", "GV"], "collectionName": "Landsat 4-5 TM C1 Level-1", "collectionLongName": "Landsat 4-5 Thematic Mapper Collection 1 Level-1", "datasetId": "5e83d08ee1e2890b", "datasetAlias": "landsat_tm_c1", "datasetCategoryName": "Landsat Collection 1 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 18:21:51.10739-05", "doiNumber": "https://doi.org/10.5066/F7N015TQ", "ingestFrequency": "P1D", "keywords": "None,Remote Sensing,Collection 1,Infrared Imagery,Imagery,Visible Imagery,Visible Wavelengths,Radiance,Landsat,Satellite,U.S. Geological Survey (USGS) ,Thematic Mapper (TM),Earth Resources Observation and Science (EROS) Center,Infrared Wavelengths,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 12266, "sceneCount": 2913248, "spatialBounds": {"north": 82.7877599765293, "east": 180.01, "south": -82.68668, "west": -180.01}, "temporalCoverage": "[\"1982-08-22 00:00:00-05\",\"2012-05-05 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by Landsat 4 and 5. All Landsat data held in the USGS EROS archive are available for download at no charge.", "acquisitionStart": "1982-08-22", "acquisitionEnd": null, "catalogs": ["EE", "LPCS"], "collectionName": "Landsat 4-5 TM C1 Level-2", "collectionLongName": "Landsat 4-5 Collection 1 Level-2 Scene Products (Surface Reflectance)", "datasetId": "5e83d29fb3d917b6", "datasetAlias": "lsr_landsat_tm_c1", "datasetCategoryName": "Landsat Collection 1 Level-2 (On-demand)", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 18:30:39.356332-05", "doiNumber": "https://doi.org/10.5066/F7KD1VZ9 ", "ingestFrequency": "P1D", "keywords": "None,Remote Sensing,Collection 1,Infrared Imagery,Imagery,Visible Imagery,Visible Wavelengths,Radiance,Landsat,Satellite,U.S. Geological Survey (USGS) ,Thematic Mapper (TM),Earth Resources Observation and Science (EROS) Center,Infrared Wavelengths,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 13351, "sceneCount": 2896808, "spatialBounds": {"north": 82.7877599765293, "east": 180.01, "south": -82.68668, "west": -180.01}, "temporalCoverage": "[\"1982-08-22 00:00:00-05\",\"2012-05-05 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by Landsat 4 and 5. All Landsat data held in the USGS EROS archive are available for download at no charge.", "acquisitionStart": "1982-12-19", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 4-5 TM C2 L1", "collectionLongName": "Landsat 4-5 Thematic Mapper Collection 2 Level-1", "datasetId": "5e83d0a05ee25348", "datasetAlias": "landsat_tm_c2_l1", "datasetCategoryName": "Landsat Collection 2 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:32:10.367167-06", "doiNumber": "https://doi.org/10.5066/P918ROHC ", "ingestFrequency": "P1D", "keywords": "None,Remote Sensing,Collection 1,Infrared Imagery,Imagery,Visible Imagery,Visible Wavelengths,Radiance,Landsat,Satellite,U.S. Geological Survey (USGS) ,Thematic Mapper (TM),Earth Resources Observation and Science (EROS) Center,Infrared Wavelengths,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 9827, "sceneCount": 2887365, "spatialBounds": {"north": 82.72809, "east": 191.746598992165, "south": -82.68668, "west": -180.007538790593}, "temporalCoverage": "[\"1982-08-22 00:00:00-05\",\"2012-05-05 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by Landsat 4 and 5. All Landsat data held in the USGS EROS archive are available for download at no charge.", "acquisitionStart": "1982-12-19", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat 4-5 TM C2 L2", "collectionLongName": "Landsat 4-5 Thematic Mapper Collection 2 Level-2", "datasetId": "5e83d1193824e4fc", "datasetAlias": "landsat_tm_c2_l2", "datasetCategoryName": "Landsat Collection 2 Level-2", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:29:57.247095-06", "doiNumber": "https://doi.org/10.5066/P9IAXOVV", "ingestFrequency": "P1D", "keywords": "None,Remote Sensing,Collection 1,Infrared Imagery,Imagery,Visible Imagery,Visible Wavelengths,Radiance,Landsat,Satellite,U.S. Geological Survey (USGS) ,Thematic Mapper (TM),Earth Resources Observation and Science (EROS) Center,Infrared Wavelengths,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 9905, "sceneCount": 2790720, "spatialBounds": {"north": 82.72809, "east": 191.746598992165, "south": -82.67207, "west": -180.007538790593}, "temporalCoverage": "[\"1982-08-22 00:00:00-05\",\"2012-05-05 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. \r\n", "acquisitionStart": "1999-09-27", "acquisitionEnd": "1999-09-27", "catalogs": ["EE"], "collectionName": "LIMA Mosaics", "collectionLongName": "Landsat Image Mosaics of Antarctica: 1999-2006", "datasetId": "5e83a280a5e1fe7d", "datasetAlias": "lima_mosaic", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:05:20.947343-05", "doiNumber": "https://doi.org/10.5066/P9TEIU3H", "ingestFrequency": null, "keywords": "None,Landsat Image Mosaic Of Antarctica (LIMA),U.S. Geological Survey (USGS) ,Radiance,Imagery,Landsat,National Aeronautics and Space Administration (NASA),Earth Science,Landsat Data Continuity Mission (LDCM),Photography,Land Surface,Landforms,LIMA Mosaics", "legacyId": 5040, "sceneCount": 0, "spatialBounds": {"north": -59.4746401634739, "east": 180.001, "south": -84.3133381650304, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2000-12-31", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD09GA V6", "collectionLongName": "MODIS/TERRA MOD09GA Surface Reflectance Daily L2G Global 1km and 500m Version 6", "datasetId": "5e83a624bd8d92a6", "datasetAlias": "modis_mod09ga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:20:52.63531-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD09GA.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10545, "sceneCount": 2435542, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. Information on individual MODIS Thermal Anomalies and Fire Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A12.", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD14A1 V6", "collectionLongName": "MODIS/TERRA MOD14A1 Thermal Anomalies & Fire Daily L3 Global 1km Version 6", "datasetId": "5e83dd9f8b8f3551", "datasetAlias": "modis_mod14a1_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:35.999296-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MOD14A1.006", "ingestFrequency": "P1D", "keywords": "Thermal Anomalies and Fire,Aqua,Moderate Resolution Imaging Spectroradiometer,MODIS,Land,Terra", "legacyId": 10945, "sceneCount": 284262, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-26 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "QuickDRI, short for Quick Drought Response Index, is a drought-monitoring tool developed by scientists at EROS in collaboration with the National Drought Mitigation Center and the High Plains Regional Climate Center, with sponsorship from the U.S. Department of Agriculture's Risk Management Agency. QuickDRI characterizes the intensification of short-term drought condition patterns on a weekly basis across the continental United States (CONUS) at a 1-km spatial resolution.\r\n", "acquisitionStart": "2016-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "QuickDRI", "collectionLongName": "Quick Drought Response Index Version 6, 7 Day CONUS Composite", "datasetId": "5e83a319fb05e6f5", "datasetAlias": "quickdri", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-07-14 07:41:41.46299-05", "doiNumber": "https://doi.org/10.5066/F7MS3RNW ", "ingestFrequency": "P1D", "keywords": "Drought Maps,Vegetation Conditions,Moderate Resolution Imaging Spectroradiometer (MODIS),Terra,Aqua,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,National Drought Mitigation Center (NDMC),High Plains Regional Climate Center (HPRCC)\r\n,Quick Drought Response Index Version 6 (QuickDRI),Percent Annual Seasonal Greenness (PASG)", "legacyId": 14160, "sceneCount": 166, "spatialBounds": {"north": 48.4130519847077, "east": -65.3846501258195, "south": 22.469394736999, "west": -128.540049269898}, "temporalCoverage": "[\"2016-12-26 00:00:00-06\",\"2020-08-14 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. ", "acquisitionStart": "2013-08-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "UAS - Point Cloud", "collectionLongName": "Unmanned Aircraft Systems - Point Cloud Data", "datasetId": "5e83d3be954ee5c", "datasetAlias": "uas_point_cloud", "datasetCategoryName": "UAS", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:35:26.551252-05", "doiNumber": "https://doi.org/10.5066/P9LPXP0U", "ingestFrequency": "P1D", "keywords": "Support Documents,U.S. Geological Survey (USGS),Unmanned Aircraft Systems (UAS) Project Office,Photograph,Earth Resources Observation and Science (EROS) Center,Digital Elevation Model (DEM),Point Cloud,Orthophotographs,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 13363, "sceneCount": 381, "spatialBounds": {"north": 60.371481, "east": -91.0883192243788, "south": 31.713618, "west": -151.726079}, "temporalCoverage": "[\"2011-07-05 09:08:44-05\",\"2019-12-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "2007_Hurricane_Felix", "collectionLongName": "2007_Hurricane_Felix", "datasetId": "5ee6c5254f2438ec", "datasetAlias": "event20", "datasetCategoryName": "2007 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200807_Hurricane_Dolly", "collectionLongName": "200807_Hurricane_Dolly", "datasetId": "5ee6c52c1563c7a7", "datasetAlias": "event245", "datasetCategoryName": "2008 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "2009_Howard_Hanson_Dam_WA", "collectionLongName": "2009_Howard_Hanson_Dam_WA", "datasetId": "5ee6c541696bab3f", "datasetAlias": "event357", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) 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"spatialBounds": {"north": 25.5287547250572, "east": -70.9521078271702, "south": 17.7967967729022, "west": -78.6603607050281}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201111_Storm_AK", "collectionLongName": "201111_Storm_AK", "datasetId": "5ee6c5d256aac71c", "datasetAlias": "event739", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6355, "sceneCount": 1270103, "spatialBounds": {"north": 68.44993, "east": -162.647692, "south": 60.3845460764357, "west": -169.308503603105}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201211_Floods_UK", "collectionLongName": "201211_Floods_UK", "datasetId": "5ee6c61cec3ce565", "datasetAlias": "event849", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6089, "sceneCount": 1270103, "spatialBounds": {"north": 55.5275389441444, "east": 1.51522988831989, "south": 49.2172901321427, "west": -6.63738767453188}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201311_Floods_Oman", "collectionLongName": "201311_Floods_Oman", "datasetId": "5ee6c67587490dbd", "datasetAlias": "event961", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7029, "sceneCount": 1270107, "spatialBounds": {"north": 25.6128499847203, "east": 60.6881363377804, "south": 20.589060146146, "west": 54.9259609979722}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201410_Landslide_SriLanka", "collectionLongName": "201410_Landslide_SriLanka", "datasetId": "5ee6c6c8bed8187a", "datasetAlias": "event1057", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8580, "sceneCount": 1270103, "spatialBounds": {"north": 8.29038995504636, "east": 83.2414798801315, "south": 4.71810000816568, "west": 79.6071300460631}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Flood_Midwest_US", "collectionLongName": "201512_Flood_Midwest_US", "datasetId": "5ee6c73b52a18b80", "datasetAlias": "event1166", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10740, "sceneCount": 1270103, "spatialBounds": {"north": 42.8304690026113, "east": -84.2845877183286, "south": 27.7897702350616, "west": -97.5050188064937}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201611_Flood_CRI", "collectionLongName": "201611_Flood_CRI", "datasetId": "5ee6c7784bb90489", "datasetAlias": "event1282", "datasetCategoryName": "2016 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"P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14526, "sceneCount": 1270103, "spatialBounds": {"north": 40.1864731803327, "east": 49.0869109151453, "south": 32.227642299208, "west": 42.3541364569364}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201811_Earthquake_US", "collectionLongName": "201811_Earthquake_US", "datasetId": "5ee6c8e73d00a157", "datasetAlias": "event2073", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15940, "sceneCount": 1270103, "spatialBounds": {"north": 65.162665, "east": -135.204887, "south": 57.239751, "west": -157.201132}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201912_Tornado_US", "collectionLongName": "201912_Tornado_US", "datasetId": "5ee6c9bd5c998efd", "datasetAlias": "event3633", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17400, "sceneCount": 1270103, "spatialBounds": {"north": 38.4396109995542, "east": -81.1034482586481, "south": 28.0683690004221, "west": -100.099023941378}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202012_Cyclone_Burevi_LKA", "collectionLongName": "202012_Cyclone_Burevi_LKA", "datasetId": "5fc7d973c05e3a76", "datasetAlias": "event2959", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 601, "spatialBounds": {"north": 9.96139617076073, "east": 82.0717499606116, "south": 6.15928006281125, "west": 77.9800202189611}, "temporalCoverage": "[\"2011-05-13 00:00:00-05\",\"2020-12-17 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_Flood_SWZ", "collectionLongName": "202101_Flood_SWZ", "datasetId": "6012c7e3797f668", "datasetAlias": "event2970", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 303, "spatialBounds": {"north": -24.9205019054257, "east": 34.4374192821646, "south": -28.5293179723642, "west": 28.4598708951352}, "temporalCoverage": "[\"2019-05-30 00:00:00-05\",\"2021-02-06 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage.\r\n", "acquisitionStart": "1069-04-13", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Aerial Photo Single Frames", "collectionLongName": "Aerial Photo Single Frames = Frame Level Records for Multiple Agencies: 1937-Present", "datasetId": "5e83d8e4870f4473", "datasetAlias": "aerial_combin", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:57:25.785218-05", "doiNumber": "https://doi.org/10.5066/F7610XKM", "ingestFrequency": "P1D", "keywords": "None,Aerial Photography,Imagery,Black-and-White ,Panchromatic,Black-and-White Infrared,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery,Natural Color,Color Infrared,Earth Science > Radiance or Imagery > Visible Wavelengths > Visible Imagery,Color,Photographs", "legacyId": 4660, "sceneCount": 5505145, "spatialBounds": {"north": 73.5649968235404, "east": 179.429363019059, "south": -37.1788889651356, "west": -178.397634898579}, "temporalCoverage": "[\"1937-04-30 00:00:00-05\",\"2014-09-20 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Landsat Burned Area Science Product identifies burned areas in temporally-dense time series of U.S. Landsat Analysis Ready Data (ARD) tiles. The Burned Area product contains burn probabilities of potentially burned areas, as well as a burn classification.", "acquisitionStart": "1984-05-26", "acquisitionEnd": null, "catalogs": ["EE", "LPCS"], "collectionName": "Burned Area", "collectionLongName": "U.S. Landsat 4-8 Burned Area (BA) Landsat Science Product Tiles (Albers projection)", "datasetId": "5e83a0039a3f08cf", "datasetAlias": "sp_tile_ba", "datasetCategoryName": "Landsat Collection 1 Level-3", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 14:54:43.032966-05", "doiNumber": "https://doi.org/10.5066/F77W6BDJ", "ingestFrequency": "P1D", "keywords": "Geospatial Analysis,Image Collections and Multispectral Imaging,ISO 19115 Topic Category imageryBaseMapEarthCover,Land Use and Land Cover,Burned Area,Remote Sensing,Burn Classification", "legacyId": 16080, "sceneCount": 932679, "spatialBounds": {"north": 50.5469236936, "east": -65.053821011, "south": 23.2563432285, "west": -126.724420246}, "temporalCoverage": "[\"1984-03-15 00:00:00-06\",\"2020-12-30 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1999-06-29", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ETM+ Pan Mosaics (1999-2003)", "collectionLongName": "Tri-Decadal Global Landsat Orthorectified ETM+ Pan-Sharpened Mosaics: 1999-2003", "datasetId": "5e83a16cb2cec5ee", "datasetAlias": "ortho_mosaic_etm", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:00:44.366946-05", "doiNumber": "https://doi.org/10.5066/P9NRGYJ3", "ingestFrequency": "P1D", "keywords": "None,Panchromatic,Pan Sharpened,USGS,EROS,Landsat,Radiance,Visible Wavelengths,Remote Sensing,Infrared Wavelengths,ETM+,Earth Science,Imagery,Satellite,ISO 19115 Category,010,geoscientificInformation,008,imageryBaseMapsEarthCover", "legacyId": 3491, "sceneCount": 2603, "spatialBounds": {"north": 82.5102961716052, "east": 180.01, "south": -57.5459304707174, "west": -180.01}, "temporalCoverage": "[\"1999-06-29 00:00:00-05\",\"2002-09-20 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1972-09-28", "acquisitionEnd": "2012-11-06", "catalogs": ["EE", "CWIC", "GV"], "collectionName": "Landsat 1-5 MSS C1 Level-1", "collectionLongName": "Landsat 1-5 Multispectral Scanner Collection 1 Level-1", "datasetId": "5e83a373bd7201ae", "datasetAlias": "landsat_mss_c1", "datasetCategoryName": "Landsat Collection 1 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 15:09:23.536487-05", "doiNumber": "https://doi.org/10.5066/F7H994GQ", "ingestFrequency": null, "keywords": "U.S. Geological Survey (USGS),Visible Wavelengths,Landsat,Collection 1,Radiance,Visible Imagery,Multispectral Scanner (MSS),Remote Sensing,Satellite,Imagery,Earth Resources Observation and Science (EROS),ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 14661, "sceneCount": 0, "spatialBounds": {"north": 82.6437199792555, "east": 180.001, "south": -83.5515199863729, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1972-11-13", "acquisitionEnd": "1985-12-18", "catalogs": ["EE"], "collectionName": "Landsat 1-5 MSS C2 L1", "collectionLongName": "Landsat 1-5 Multi-Spectral Scanner Collection 2 Level-1", "datasetId": "5e83d0e09a752cff", "datasetAlias": "landsat_mss_c2_l1", "datasetCategoryName": "Landsat Collection 2 Level-1", "dataOwner": "LSAA", "dateUpdated": "2020-12-02 16:23:44.908767-06", "doiNumber": "https://doi.org/10.5066/P9AF14YV", "ingestFrequency": null, "keywords": "U.S. Geological Survey (USGS),Visible Wavelengths,Landsat,Collection 1,Radiance,Visible Imagery,Multispectral Scanner (MSS),Remote Sensing,Satellite,Imagery,Earth Resources Observation and Science (EROS),ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 9865, "sceneCount": 1354765, "spatialBounds": {"north": 82.6209492649926, "east": 192.526649998066, "south": -82.7525475397792, "west": -180.009032266809}, "temporalCoverage": "[\"1972-07-25 00:00:00-05\",\"2013-01-07 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2000-12-31", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD09GQ V6", "collectionLongName": "MODIS/TERRA MOD09GQ Surface Reflectance Daily L2G Global 250m Version 6", "datasetId": "5e83dd518a4f58bb", "datasetAlias": "modis_mod09gq_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:17.65949-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD09GQ.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10546, "sceneCount": 2228744, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. Information on individual MODIS Thermal Anomalies and Fire Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A12.", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD14A2 V6", "collectionLongName": "MODIS/TERRA MOD14A2 Thermal Anomalies & Fire 8-Day L3 Global 1km Version 6", "datasetId": "5e83dd9972ab2ec1", "datasetAlias": "modis_mod14a2_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:29.184291-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MOD14A2.006", "ingestFrequency": "P1D", "keywords": "Thermal Anomalies and Fire,Aqua,Moderate Resolution Imaging Spectroradiometer,MODIS,Land,Terra", "legacyId": 10946, "sceneCount": 284267, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-26 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. ", "acquisitionStart": "2013-08-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "UAS - DEM", "collectionLongName": "Unmanned Aircraft Systems - Digital Elevation Model ", "datasetId": "5e83d388bbc06c8b", "datasetAlias": "uas_dem", "datasetCategoryName": "UAS", "dataOwner": "DMID", "dateUpdated": "2021-02-01 13:52:45.850264-06", "doiNumber": "https://doi.org/10.5066/P9391206", "ingestFrequency": "P1D", "keywords": "Support Documents,U.S. Geological Survey (USGS),Unmanned Aircraft Systems (UAS) Project Office,Photograph,Earth Resources Observation and Science (EROS) Center,Digital Elevation Model (DEM),Point Cloud,Orthophotographs,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 8541, "sceneCount": 397, "spatialBounds": {"north": 60.3713162353135, "east": -71.6317166661953, "south": 31.7114212725701, "west": -151.726014617124}, "temporalCoverage": "[\"2013-03-14 00:00:00-05\",\"2019-12-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "VegDRI, short for Vegetation Drought Response Index, is a drought-monitoring tool developed by scientists at EROS in collaboration with the National Drought Mitigation Center and the High Plains Regional Climate Center, with sponsorship from the U.S. Department of Agriculture's Risk Management Agency. VegDRI maps, produced every two weeks, combine satellite-based observations of vegetation conditions with climate and environmental data to provide drought information for the conterminous United States.\r\n\r\n", "acquisitionStart": "2009-04-22", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VegDRI", "collectionLongName": "Vegetation Drought Response Index: 2010-Present", "datasetId": "5e83a30b349decb9", "datasetAlias": "vegdri", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:07:39.341934-05", "doiNumber": "https://doi.org/10.5066/F7SN07WV", "ingestFrequency": "P1D", "keywords": "Percent Annual Seasonal Greenness (PASG),Vegetation Drought Response Index (VegDRI),Drought Maps,Vegetation Conditions,Moderate Resolution Imaging Spectroradiometer (MODIS),Terra,Aqua,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,National Drought Mitigation Center (NDMC),High Plains Regional Climate 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"sceneCount": 1270107, "spatialBounds": {"north": 44.2987376862193, "east": -82.744657529852, "south": 34.9552807828877, "west": -92.5436698013593}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201410_Tropical_Storm_Ana_Hawaii", "collectionLongName": "201410_Tropical_Storm_Ana_Hawaii", "datasetId": "5ee6c6c98cf1e04a", "datasetAlias": "event1055", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8543, "sceneCount": 1270103, "spatialBounds": {"north": 21.318248441268, "east": -154.82352069822, "south": 17.7099509481883, "west": -157.373559527214}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Tornado_MS", "collectionLongName": "201512_Tornado_MS", "datasetId": "5ee6c73fa07ebbcc", "datasetAlias": "event1163", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10700, "sceneCount": 1270103, "spatialBounds": {"north": 35.7028786576179, "east": -87.6133702862963, "south": 33.4984312135521, "west": -91.853379014322}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201611_Fire_ISR", "collectionLongName": "201611_Fire_ISR", "datasetId": "5ee6c77674d4e4e0", "datasetAlias": "event1281", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12760, "sceneCount": 1270103, "spatialBounds": {"north": 33.680027, "east": 38.080382, "south": 28.961188, "west": 32.264904}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201711_Tornado_US", "collectionLongName": "201711_Tornado_US", "datasetId": "5ee6c7d31086b936", "datasetAlias": "event1361", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14520, "sceneCount": 1270103, "spatialBounds": {"north": 42.055162, "east": -81.6639604608938, "south": 33.443143, "west": -90.289757}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201811_Flood_IRQ", "collectionLongName": "201811_Flood_IRQ", "datasetId": "5ee6c8e985fcfca6", "datasetAlias": "event2053", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15900, "sceneCount": 1270103, "spatialBounds": {"north": 37.1399181840253, "east": 47.8662948653758, "south": 30.6621504238171, "west": 40.8841518341685}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201912_Typhoon_Kammuri_PHL", "collectionLongName": "201912_Typhoon_Kammuri_PHL", "datasetId": "5ee6c9bc64bdb495", "datasetAlias": "event3573", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17340, "sceneCount": 1270103, "spatialBounds": {"north": 14.164985, "east": 126.254669161753, "south": 10.4985401718822, "west": 122.065367069002}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202012_Landslide_MEX", "collectionLongName": "202012_Landslide_MEX", "datasetId": "5fc6732d565173dc", "datasetAlias": "event2958", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 311, "spatialBounds": {"north": 18.4015199910361, "east": -89.7359243, "south": 14.0495748, "west": -94.7169758}, "temporalCoverage": "[\"2017-01-22 00:00:00-06\",\"2020-12-22 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_Tornado_US", "collectionLongName": "202101_Tornado_US", "datasetId": "601093582907fb04", "datasetAlias": "event2969", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 778, "spatialBounds": {"north": 35.6746299425732, "east": -84.9829425343596, "south": 32.0863701958122, "west": -89.2573868105199}, "temporalCoverage": "[\"2019-03-20 00:00:00-05\",\"2021-02-25 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The EROS Moderate Resolution Imaging Spectroradiometer (eMODIS) Aqua Land Surface Temperature (LST) product is similar to the Land Processes Distributed Active Archive Center (LP DAAC) 8-day product. It contains land surface temperature and emissivities retrieved from daily Aqua MODIS Collection 6 data at a spatial resolution of 1 km over global land surfaces under clear-sky conditions during a 10-day period. The eMODIS LST product is comprised of LST, emissivities estimated in bands 31 and 32, view angles, number of observations and quality assurance information.", "acquisitionStart": "2016-10-11", "acquisitionEnd": "2016-10-11", "catalogs": ["EE"], "collectionName": "eMODIS Global LST V6", "collectionLongName": "eMODIS Global Land Surface Temperature Version 6", "datasetId": "5e83a2fd5e0a7fc4", "datasetAlias": "emodis_global_lst_v6", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:07:26.002913-05", "doiNumber": "https://doi.org/10.5066/P9BT8RIP", "ingestFrequency": null, "keywords": "None,Imagery,Image Map,EROS Moderate Resolution Imaging Spectroradiometer (eMODIS),U.S. Geological Survey (USGS) ,ISO 19115 Category,010,imageryBaseMapsEarthCover", "legacyId": 13280, "sceneCount": 0, "spatialBounds": {"north": 80.01, "east": 180.01, "south": -60.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD09Q1 V6", "collectionLongName": "MODIS/TERRA MOD09Q1 Surface Reflectance 8-Day L3 Global 250m Version 6", "datasetId": "5e83dd48b8370940", "datasetAlias": "modis_mod09q1_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:08.826371-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD09Q1.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10547, "sceneCount": 283781, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Version 6 Level 2 Gridded (L2G) Ocean Reflectance product consists of 1 kilometer reflectance data from MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this not an ocean product as the tiles produced are land tiles. The data set stores the \"best available pixel\" from all the qualifying observations in the first layer and if there are any subsequent observations available, then they are stored in either an extra full or a compact format layer within the data file Hierarchical Data Format (HDF). The Ocean Reflectance data product is categorized with the Surface Reflectance products, and has therefore attained stage 3 validation. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.", "acquisitionStart": "2000-12-31", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MODOCGA V6", "collectionLongName": "MODOCGA: MODIS/Terra Ocean Reflectance Daily L2G-Lite Global 1 km SIN Grid Version 6", "datasetId": "5e83a665dfbc44e", "datasetAlias": "modis_modocga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:21:57.69452-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MODOCGA.006", "ingestFrequency": "P1D", "keywords": "Brightness Temperature,Terra,Aqua,Moderate Resolution Imaging Spectroradiometer,Thermal Band,MODIS", "legacyId": 11207, "sceneCount": 2435255, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. Information on individual MODIS Thermal Anomalies and Fire Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A12.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD14 V6", "collectionLongName": "MODIS/AQUA MYD14 Thermal Anomalies & Fire 5-Min L2 Swath 1km Version 6", "datasetId": "5e83ddd175c5f852", "datasetAlias": "modis_myd14_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:27.000971-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYD14.006", "ingestFrequency": "P1D", "keywords": "Thermal Anomalies and Fire,Aqua,Moderate Resolution Imaging Spectroradiometer,MODIS,Land,Terra", "legacyId": 10947, "sceneCount": 1955104, "spatialBounds": {"north": 87.9099931290003, "east": 180.01, "south": -88.204599709532, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-08 05:55:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Landsat TM Orthorectified Mosaics data collection is derived from a global set of high-quality, relatively cloud-free orthorectified TM imagery from Landsats 4-5. This dataset was selected and generated through NASA's Commercial Remote Sensing Program, as part of a cooperative effort between NASA and the commercial remote sensing community to provide users with access to quality-screened, high-resolution satellite images with global coverage over the Earth's land masses. The data collection was compiled via NASA contract with Earth Satellite Corporation (Rockville, MD) in association with NASA's Scientific Data Purchase program.\r\n\r\nThe Landsat Orthorectified TM Mosaics data collection is derived from approximately 7,461 TM (Landsat 4-5) images, which were selected to provide a full set of global coverage (circa 1990). All selected images were either cloud-free or contained minimal cloud cover. In addition, only images with a high quality ranking in regards to the possible presence of errors such as missing scans or saturated bands were selected.\r\n\r\n", "acquisitionStart": "1984-04-13", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "TM Mosaics (1984-1997)", "collectionLongName": "Tri-Decadal Global Landsat Orthorectified TM Mosaics: 1984-1997", "datasetId": "5e83a489a9c9051f", "datasetAlias": "ortho_mosaic", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:14:02.032987-05", "doiNumber": "https://doi.org/10.5066/P91LYVCM", "ingestFrequency": "P1D", "keywords": "None,Mosaic,Remote Sensing,EROS,Earth Science,Radiance,USGS,Visible Wavelengths,Imagery,TM,Satellite,Infrared Wavelengths,Landsat", "legacyId": 3492, "sceneCount": 525, "spatialBounds": {"north": 79.876948, "east": 180.01, "south": -56.787555, "west": -180.01}, "temporalCoverage": "[\"1984-04-13 00:00:00-06\",\"1999-09-11 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200806_Floods_Midwest", "collectionLongName": "200806_Floods_Midwest", "datasetId": "5ee6c52b9fa5d803", "datasetAlias": "event207", "datasetCategoryName": "2008 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6674, "sceneCount": 1270103, "spatialBounds": {"north": 43.20144, "east": -91.148646, "south": 41.146938, "west": -93.776708}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200909_Samoa_Tsunami", "collectionLongName": "200909_Samoa_Tsunami", "datasetId": "5ee6c53d943f45f0", "datasetAlias": "event355", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6706, "sceneCount": 1270103, "spatialBounds": {"north": -12.0542601369909, "east": -170.029852091418, "south": -15.4223726845751, "west": -173.946221144869}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201010_Floods_Thailand", "collectionLongName": "201010_Floods_Thailand", "datasetId": "5ee6c556b2022edb", "datasetAlias": "event623", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6552, "sceneCount": 1270103, "spatialBounds": {"north": 16.8837103217849, "east": 106.942189549976, "south": 12.0322001479519, "west": 97.7772161172226}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201110_Earthquake_Turkey", "collectionLongName": "201110_Earthquake_Turkey", "datasetId": "5ee6c5ccf6cc7dbd", "datasetAlias": "event734", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6394, "sceneCount": 1270103, "spatialBounds": {"north": 39.9310912866414, "east": 45.0497859984805, "south": 36.4830753888734, "west": 40.2782825138796}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201210_Hurricane_Sandy_Haiti", "collectionLongName": "201210_Hurricane_Sandy_Haiti", "datasetId": "5ee6c619b4b6d451", "datasetAlias": "event847", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6110, "sceneCount": 1270103, "spatialBounds": {"north": 18.84547, "east": -72.106988, "south": 17.943181, "west": -73.770181}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201311_Cosmo", "collectionLongName": "201311_Cosmo", "datasetId": "5ee6c6746b1ec79d", "datasetAlias": "event959", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7023, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201410_Hurricane_Gonzalo", "collectionLongName": "201410_Hurricane_Gonzalo", "datasetId": "5ee6c6c77a607ae8", "datasetAlias": "event1053", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8520, "sceneCount": 1270103, "spatialBounds": {"north": 32.8317186787278, "east": -63.7625703530802, "south": 30.6334311864449, "west": -66.3014238925225}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Storm_WA", "collectionLongName": "201512_Storm_WA", "datasetId": "5ee6c73dbe9d7752", "datasetAlias": "event1162", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10660, "sceneCount": 1270103, "spatialBounds": {"north": 50.0027167463112, "east": -117.074650013336, "south": 44.8823622329601, "west": -127.752039922559}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201611_Flood_PAN", "collectionLongName": "201611_Flood_PAN", "datasetId": "5ee6c7797a1ba7c8", "datasetAlias": "event1280", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12740, "sceneCount": 1270103, "spatialBounds": {"north": 11.398531, "east": -76.34842, "south": 6.16211000603017, "west": -85.117769}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201711_Flood_VNM", "collectionLongName": "201711_Flood_VNM", "datasetId": "5ee6c7d2cde94878", "datasetAlias": "event1360", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14500, "sceneCount": 1270103, "spatialBounds": {"north": 20.8744469491233, "east": 111.106039999091, "south": 7.335464, "west": 103.260670142761}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201811_Fire_US", "collectionLongName": "201811_Fire_US", "datasetId": "5ee6c8e8c62ec372", "datasetAlias": "event2033", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15880, "sceneCount": 1270103, "spatialBounds": {"north": 50.308651, "east": 241.379783, "south": -9.409696, "west": -136.914112}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Tornado_US", "collectionLongName": "201911_Tornado_US", "datasetId": "5ee6c9c77f51a429", "datasetAlias": "event3553", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17320, "sceneCount": 1270103, "spatialBounds": {"north": 34.236739889736, "east": -88.4704312969381, "south": 30.6249221611381, "west": -93.6799097172995}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202011_Cyclone_Nivar_IND", "collectionLongName": "202011_Cyclone_Nivar_IND", "datasetId": "5fbd1b2ff62f5ba", "datasetAlias": "event2957", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 141, "spatialBounds": {"north": 15.5273096472602, "east": 81.8049399373823, "south": 8.4996893, "west": 77.5385118}, "temporalCoverage": "[\"2019-10-01 00:00:00-05\",\"2021-01-04 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_Tropical_Cyclone_Eloise_MOZ", "collectionLongName": "202101_Tropical_Cyclone_Eloise_MOZ", "datasetId": "600afd3e52a23ac4", "datasetAlias": "event2968", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 95, "spatialBounds": {"north": -18.9717934776729, "east": 35.7700184610969, "south": -21.3063395915625, "west": 33.3764200309312}, "temporalCoverage": "[\"2020-07-06 00:00:00-05\",\"2021-02-21 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners including NS-001 Mutispectral scanner, Daedalus thematic mapper simulator (TMS), scanners and the thermal infrared multispectral scanner (TIMS). Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft operating from the NASA Ames Research Center (ARC) in Moffett Field, California, and by NASA Learjet aircraft operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available.\r\n\r\n", "acquisitionStart": "1982-08-26", "acquisitionEnd": "1995-09-28", "catalogs": ["EE"], "collectionName": "Aircraft Scanners", "collectionLongName": "Aircraft Scanners = NASA Digital Aerial Scanners (TMS, TIMS, NS001): Pre 1996", "datasetId": "5e83d86a4647fe7d", "datasetAlias": "aircraft_scanners", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:55:22.559927-05", "doiNumber": "https://doi.org/10.5066/F7057D56", "ingestFrequency": null, "keywords": "None,Thermal Infrared Multispectral Scanner (TIMS) ,Multispectral,Aerial Imagery,Thermal Infrared Multispectral Scanner (TIMS) ,NS-001 Multispectral Scanner,National Aeronautics and Space Administration (NASA)", "legacyId": 2612, "sceneCount": 0, "spatialBounds": {"north": 65.9457447519393, "east": 16.7958677465567, "south": 10.0710303302472, "west": -160.629578525651}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "DR_1711_KS_FLOOD", "collectionLongName": "DR_1711_KS_FLOOD", "datasetId": "5ee6cd637f91005c", "datasetAlias": "event16", "datasetCategoryName": "2007 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7509, "sceneCount": 1270103, "spatialBounds": {"north": 38.763894, "east": -94.547636, "south": 36.923144, "west": -96.0163}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "eMODIS processes calibrated radiance data (level-1B) acquired by the MODIS sensors on the EOS Terra and Aqua satellites by combining MODIS Land Science Collection 5 Atmospherically Corrected Surface Reflectance production code and USGS EROS MODIS Direct Broadcast System (DBS) software to create surface reflectance and Normalized Difference Vegetation Index (NDVI) products.", "acquisitionStart": "2010-02-09", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "eMODIS NDVI", "collectionLongName": "EROS MODIS Normalized Difference Vegetation Index: 2001-Present", "datasetId": "5e83a2f37c5231af", "datasetAlias": "emodis", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:07:15.377635-05", "doiNumber": "https://doi.org/10.5066/F7H41PNT", "ingestFrequency": "P1D", "keywords": "None,Imagery,Image Map,U.S. Geological Survey (USGS),eMODIS,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 4700, "sceneCount": 324, "spatialBounds": {"north": 48.4130519847077, "east": -65.3846501258195, "south": 22.469394770332, "west": -128.540049236566}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2003-12-24 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. \r\n", "acquisitionStart": "1999-06-29", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ETM+ Pan (1999-2003)", "collectionLongName": "Tri-Decadal Global Landsat Orthorectified Enhanced ETM+ Pan-sharpened Single Scene: 1999-2003", "datasetId": "5e83a15b60c212f7", "datasetAlias": "esat_etm_pan", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:00:27.618063-05", "doiNumber": "https://doi.org/10.5066/P90MVN4R", "ingestFrequency": "P1D", "keywords": "None,Pan Sharpened,Earth Science,Remote Sensing,Radiance,EROS,USGS,Landsat,Visible Wavelengths,Infrared Wavelengths,Imagery,Satellite,ETM+", "legacyId": 2732, "sceneCount": 8767, "spatialBounds": {"north": 82.0793189870719, "east": 180.01, "south": -56.9859398575468, "west": -180.01}, "temporalCoverage": "[\"1999-06-29 00:00:00-05\",\"2003-01-14 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Version 6 MODIS Level 2 Gridded (L2G) Thermal Band product consists of brightness temperature data from MODIS bands 20, 31, and 32 and albedo data from band 20 along with the orbit and granule pointer fields. This data has a pixel size of 1,000 meters, or 1 kilometer. The data set stores the \"best available pixel\" from all the qualifying observations in the first layer and if there are any subsequent observations available, they are stored in either an extra full or a compact format layer within the HDF file.\r\nThe Thermal Band data product is categorized with the Surface Reflectance products, and has therefore attained stage 3 validation. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n", "acquisitionStart": "2000-12-31", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MODTBGA V6", "collectionLongName": "MODTBGA: MODIS/Terra Thermal Bands Daily L2G Global 1 km SIN Grid Version 6", "datasetId": "5e83dd962cfb859f", "datasetAlias": "modis_modtbga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:26.641958-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MODTBGA.006", "ingestFrequency": "P1D", "keywords": "MODIS,Aqua,Moderate Resolution Imaging Spectroradiometer,Ocean Reflectance,Terra", "legacyId": 11208, "sceneCount": 2435241, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. Information on individual MODIS Thermal Anomalies and Fire Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A12.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD14A1 V6", "collectionLongName": "MODIS/AQUA MYD14A1 Thermal Anomalies & Fire Daily L3 Global 1km Version 6", "datasetId": "5e83a60594a30a40", "datasetAlias": "modis_myd14a1_v6", "datasetCategoryName": "MODIS Thermal Anomalies and Fire - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:20:21.944315-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYD14A1.006", "ingestFrequency": "P1D", "keywords": "Thermal Anomalies and Fire,Aqua,Moderate Resolution Imaging Spectroradiometer,MODIS,Land,Terra", "legacyId": 10948, "sceneCount": 252136, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": 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"200908_California_Fires", "collectionLongName": "200908_California_Fires", "datasetId": "5ee6c5388ae3f03a", "datasetAlias": "event343", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6644, "sceneCount": 1270103, "spatialBounds": {"north": 41.443464, "east": -119.070487780635, "south": 36.4590681152106, "west": -123.479725809288}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201010_NRDA", "collectionLongName": "201010_NRDA", "datasetId": "5ee6c557695436da", "datasetAlias": "event622", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6555, "sceneCount": 1270103, "spatialBounds": {"north": 30.853718, "east": -83.884839, "south": 28.856025, "west": -94.816433}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201110_Oilspill_New_Zealand", "collectionLongName": "201110_Oilspill_New_Zealand", "datasetId": "5ee6c5cf851922ab", "datasetAlias": "event732", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6367, "sceneCount": 1270103, "spatialBounds": {"north": -36.5190870085956, "east": 178.658789, "south": -38.4702349906232, "west": 175.437044090041}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201210_Oilspill_GulfOfMexico", "collectionLongName": "201210_Oilspill_GulfOfMexico", "datasetId": "5ee6c61a2be7d89d", "datasetAlias": "event833", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6107, "sceneCount": 1270103, "spatialBounds": {"north": 29.2476250268268, "east": -87.9050964400651, "south": 28.26847, "west": -88.870241}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201311_Volcano_Indonesia", "collectionLongName": "201311_Volcano_Indonesia", "datasetId": "5ee6c679a3d87dfb", "datasetAlias": "event955", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6903, "sceneCount": 1176, "spatialBounds": {"north": 4.809192, "east": 100.35925999301, "south": 1.232982, "west": 96.614058}, "temporalCoverage": "[\"2010-09-13 00:00:00-05\",\"2021-03-01 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201410_Ebola_Africa", "collectionLongName": "201410_Ebola_Africa", "datasetId": "5ee6c6c5160dfe77", "datasetAlias": "event1051", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8480, "sceneCount": 1270103, "spatialBounds": {"north": 17.0366, "east": 8.82691999947703, "south": 3.2701300016858, "west": -19.3346997160433}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201512_Flood_IND", "collectionLongName": "201512_Flood_IND", "datasetId": "5ee6c73afd593840", "datasetAlias": "event1160", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10620, "sceneCount": 1270103, "spatialBounds": {"north": 18.453059, "east": 82.1012998561848, "south": 6.15657006264689, "west": 76.1514401094167}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201611_Exercise_Vigilant_Guard_CA", "collectionLongName": "201611_Exercise_Vigilant_Guard_CA", "datasetId": "5ee6c775cc548ee5", "datasetAlias": "event1278", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12680, "sceneCount": 1270103, "spatialBounds": {"north": 37.1460878073175, "east": -82.216373, "south": 32.0525804154734, "west": -121.20302769721}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201710_Fire_US", "collectionLongName": "201710_Fire_US", "datasetId": "5ee6c7cc2d1d31c4", "datasetAlias": "event1358", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14460, "sceneCount": 1270103, "spatialBounds": {"north": 47.240125, "east": -109.664081782878, "south": 30.6450660005832, "west": -129.059496847945}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201811_Search_Rescue_CA", "collectionLongName": "201811_Search_Rescue_CA", "datasetId": "5ee6c8ea4113418c", "datasetAlias": "event1994", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15860, "sceneCount": 1270103, "spatialBounds": {"north": 38.9883681988451, "east": -119.720323361855, "south": 38.3530854972525, "west": -120.170744252224}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Flood_CAF", "collectionLongName": "201911_Flood_CAF", "datasetId": "5ee6c9ca1b9e9d6b", "datasetAlias": "event3514", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17280, "sceneCount": 1270103, "spatialBounds": {"north": 6.84399998217851, "east": 22.889722, "south": 3.26967003829035, "west": 17.1032301310484}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202011_Landslide_US", "collectionLongName": "202011_Landslide_US", "datasetId": "5faeea1dee44eb27", "datasetAlias": "event2954", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 127, "spatialBounds": {"north": 56.045009, "east": -132.9660167, "south": 55.2572272, "west": -133.2779826}, "temporalCoverage": "[\"2020-12-09 00:00:00-06\",\"2021-02-22 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_Earthquake_IDN", "collectionLongName": "202101_Earthquake_IDN", "datasetId": "6001ab417bf3c99e", "datasetAlias": "event2967", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 151, "spatialBounds": {"north": -0.388430000298113, "east": 121.993698, "south": -5.2197112, "west": 117.123013}, "temporalCoverage": "[\"2019-05-20 00:00:00-05\",\"2021-02-26 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "Aerial photographs of Antarctica from the United States Antarctic Resource Center (USARC) and the British Antarctic Survey (BAS) are maintained in this collection. USARC data are used by scientists and others to determine geologic features, analyze ice stream flow, and monitor penguin and seal populations. Several types of mapping cameras and film formats have been used to acquire over 300,000 frames of photography since 1946, with annual acquisitions since 1980.\r\n\r\nThe majority of the USARC photography is panchromatic black and white taken with three Fairchild cameras, each with a metrogon lens resulting in trimetrogon photographs (left oblique, vertical, and right oblique photographs). More recent acquisitions include natural color and color-infrared, archived mainly on 9-inch film. Fewer than 30,000 frames (less than 10 percent) of the photography are archived on 70-mm film. Spatial resolutions vary as a function of photographic scale, which ranges from 1:1,000 to 1:64,000.\r\n\r\nThe original aerial film negatives were store at the USGS Earth Resources Observation and Science (EROS) Center. The USGS archives most of the film taken over Antarctica what was held in the United States. Original film rolls acquired more than forty years ago became the responsibility of the National Archives, once scanned the rolls were sent to College Park, MD for storage.\r\n\r\nThe USGS is responsible for maintaining the USARC, which is a repository and distribution site for all cartographic materials covering Antarctica that are produced by the United States and other participating USARC nations.\r\n\r\n\r\n\r\n\r\n\r\n\r\n", "acquisitionStart": "1900-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Antarctic Single Frames", "collectionLongName": "Antarctic Single Frames = Frame Level Records of Antarctica Photos: 1946 - 2000", "datasetId": "5e83d8ba165cbcc3", "datasetAlias": "aerial_usarc", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:56:42.989456-05", "doiNumber": "https://doi.org/10.5066/F7MW2FDP", "ingestFrequency": "P1D", "keywords": "None,BAS,British Antarctic Survey,U.S. Antarctic Resource Center (USARC),United States Antarctic Resource Center,Color Infrared,Natural Color,Black and White,TMA,Photography,Trimetrogon Aerial,Aerial Photography", "legacyId": 3680, "sceneCount": 372505, "spatialBounds": {"north": -60.9178584849169, "east": 180.01, "south": -87.5211604889649, "west": -180.01}, "temporalCoverage": "[\"1940-03-05 00:00:00-06\",\"2000-02-04 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Remote Sensing Phenology (RSP) collection is a set of nine annual phenological metrics for the conterminous United States. Researchers at the USGS EROS Center utilize data gathered by satellite sensors to track seasonal changes in vegetation. The satellite sensors that provide the raw data are the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard National Aeronautics and Space Administration (NASA) Terra and Aqua satellites. The satellite data are initially transformed into Normalized Difference Vegetation Index (NDVI) values. eMODIS NDVI provide the foundation for the phenology metrics. Time-series NDVI can be summarized and analyzed to produce nine key phenological indicators. These data represent a powerful tool for documenting plant life-cycle trends and detecting the impacts of climate change on ecosystems.\r\nThe complete set of phenological metrics are as follows: 1. Start of Season Time (SOST): starting time of the onset of the growing season (in day of the year). 2. Start of Season NDVI (SOSN): NDVI value at the starting time of the onset of the growing season (unitless- based on NDVI units). 3. End of Season Time (EOST): ending time of the growing season (in day of the year). 4. End of Season NDVI (EOSN): NDVI value at the ending time of the growing season (unitless-based on NDVI units). 5. Maximum Time (MAXT): the day of the year when the NDVI reaches its maximum during the growing season (in day of the year). 6. Maximum NDVI (MAXN): the highest (or peak) value in NDVI observed in a growing season (unitless-based on NDVI units). 7. Duration (DUR): the length of the growing season-the time between the start of season and end of season (in number of days). 8. Amplitude (AMP): the difference between the Maximum NDVI and NDVI at the day of start of season (unitless-based on NDVI units). 9. Time Integrated NDVI (TIN): the cumulative value of NDVI from the start to the end of the growing season (unitless-based on accumulated NDVI unit", "acquisitionStart": "2000-12-29", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "eMODIS Phenology", "collectionLongName": "eMODIS Phenology: 2001-Present", "datasetId": "5e83a2dde0a527da", "datasetAlias": "emodis_phen_metrics", "datasetCategoryName": "Vegetation Monitoring", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:06:53.453432-05", "doiNumber": "https://doi.org/10.5066/F7MW2FBS", "ingestFrequency": "P1D", "keywords": "Time Integrated NDVI (TIN),Amplitude (AMP),Maximum NDVI (MAXN),Maximum Time (MAXT),End of Season NDVI (EOSN),Start of Season NDVI (SOSN),End of Season Time (EOST),Start of Season Time (SOST),Normalized Difference Vegetation Index (NDVI),Phenology,Vegetation,Moderate Resolution Imaging Spectroradiometer (MODIS),eMODIS", "legacyId": 9388, "sceneCount": 62, "spatialBounds": {"north": 51.7323331766226, "east": -65.384650254442, "south": 22.4693999779464, "west": -128.540053049531}, "temporalCoverage": "[\"2000-12-29 00:00:00-06\",\"2018-01-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD09CMG V6", "collectionLongName": "MODIS/AQUA MYD09CMG Surface Reflectance Daily L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd9b14cc70af", "datasetAlias": "modis_myd09cmg_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:31.986058-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD09CMG.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10549, "sceneCount": 6808, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "GeoEye's OrbView-3 satellite was among the world's first commercial satellites to provide high-resolution imagery from space. OrbView-3 collected one meter panchromatic (black and white) and four meter multispectral (color) imagery at a swath width of 8 km for both sensors. One meter imagery enables more accurate viewing and mapping of houses, automobiles and aircraft, and makes it possible to create precise digital products. Four meter multispectral imagery provides color and near infrared (NIR) information to further characterize cities, rural areas and undeveloped land from space. Imagery from the OrbView-3 satellite complements existing geographic information system (GIS) data for commercial, environmental and national security customers. OrbView-3 orbits 470 km above the Earth in a sun-synchronous polar orbit while collecting imagery of the Earth's surface at one meter resolution in the Panchromatic (black and white) mode, or at four meter resolution in the Multispectral (color) mode with a three day repeat cycle.\r\n\r\nThe U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center received 179,981 OrbView-3 image segments from GeoEye with no restrictions. The data were delivered in Basic Enhanced (Level 1B) radiometrically corrected format. The product files include satellite telemetry data, rational functions, post-processed Ground Sample Distance (GPS) at nadir data, and sufficient metadata for rigorous triangulation.\r\n\r\nThe data in this collection were acquired between September 2003 and March 2007, both multispectral (MS) and panchromatic (Pan) sensor. ", "acquisitionStart": "2003-09-17", "acquisitionEnd": null, "catalogs": ["EE", "GV"], "collectionName": "OrbView-3", "collectionLongName": "OrbView-3 Level 1B", "datasetId": "5e83d64784347cf1", "datasetAlias": "orbview3", "datasetCategoryName": "Commercial Satellites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:46:26.019047-05", "doiNumber": "https://doi.org/10.5066/F7J38R0R", "ingestFrequency": "P1D", "keywords": "None,ORBVIEW3,Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,U.S. Geological Survey (USGS) ,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 4687, "sceneCount": 179981, "spatialBounds": {"north": 77.189603468607, "east": 180.01, "south": -78.0169617830267, "west": -179.930736623571}, "temporalCoverage": "[\"2003-09-17 00:00:00-05\",\"2007-03-04 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. \r\n", "acquisitionStart": "1984-04-13", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "TM (1984-1997)", "collectionLongName": "Tri-Decadal Global Landsat Orthorectified TM Single Scene: 1984-1997", "datasetId": "5e83a47ec0f7d6a7", "datasetAlias": "esat_tm", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:13:50.206888-05", "doiNumber": "https://doi.org/10.5066/P9I149MA", "ingestFrequency": "P1D", "keywords": "None,Radiance,EROS,USGS,Landsat,Visible Wanelengths,Infrared Wavelengths,Imagery,Satellite,Remote Sensing,Earth Science,TM", "legacyId": 2733, "sceneCount": 7103, "spatialBounds": {"north": 79.3506781495481, "east": 179.654400423294, "south": -51.253427335324, "west": -169.52509617978}, "temporalCoverage": "[\"1984-04-13 06:42:00-06\",\"1997-11-02 12:44:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": 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Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD09GA V6", "collectionLongName": "MODIS/AQUA MYD09GA Surface Reflectance Daily L2G Global 1km and 500m Version 6", "datasetId": "5e83dddaccc0c8e5", "datasetAlias": "modis_myd09ga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:34.407583-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD09GA.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10550, "sceneCount": 2176201, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. 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"supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201611_Flood_Pre_Event_US", "collectionLongName": "201611_Flood_Pre_Event_US", "datasetId": "5ee6c77a38413169", "datasetAlias": "event1276", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12643, "sceneCount": 1270103, "spatialBounds": {"north": 34.244568727125, "east": -94.6645516604707, "south": 27.7815901484552, "west": -102.181104932683}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Volcano_Agung_IDN", "collectionLongName": "201709_Volcano_Agung_IDN", "datasetId": "5ee6c7cba6fab2e9", "datasetAlias": "event1356", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14400, "sceneCount": 832, "spatialBounds": {"north": -6.05774, "east": 118.981691, "south": -10.509122, "west": 113.96048}, "temporalCoverage": "[\"2007-05-01 00:00:00-05\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Typhoon_Yutu", "collectionLongName": "201810_Typhoon_Yutu", "datasetId": "5ee6c8e6d29d4127", "datasetAlias": "event1973", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15823, "sceneCount": 1270103, "spatialBounds": {"north": 16.9661098505769, "east": 147.077491, "south": 12.349138, "west": 144.1397}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Cyclone_Bulbul_BGD", "collectionLongName": "201911_Cyclone_Bulbul_BGD", "datasetId": "5ee6c9cda3c67ee7", "datasetAlias": "event3433", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17240, "sceneCount": 1270103, "spatialBounds": {"north": 24.1795497615209, "east": 93.0965799979452, "south": 20.5858203219091, "west": 89.425571}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202011_Flood_MEX", "collectionLongName": "202011_Flood_MEX", "datasetId": "5fa95248c59031ca", "datasetAlias": "event2952", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 457, "spatialBounds": {"north": 19.8561496606396, "east": -90.2642712817536, "south": 15.7407886, "west": -96.0281386749659}, "temporalCoverage": "[\"2017-03-02 00:00:00-06\",\"2020-12-03 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "2021_Oil_Seep", "collectionLongName": "2021_Oil_Seep", "datasetId": "5ffcc0e9b2926b37", "datasetAlias": "event2965", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 4, "spatialBounds": {"north": 34.5037381, "east": -119.6014083, "south": 34.2795875, "west": -120.1669679}, "temporalCoverage": "[\"2021-01-11 00:00:00-06\",\"2021-01-12 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the overage ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The overage is included to facilitate tonal matching for mosaicking and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. The radiometric image brightness values are stored as 256 gray levels, ranging from 0 to 255. The standard, uncompressed gray scale DOQ format contains an ASCII header followed by a series of 8-bit image data lines. The keyword-based, ASCII header may vary in the number of data entries. The header is affixed to the beginning of the image and is composed of strings of 80 characters with an asterisk (*) as character 79 and an invisible newline character as character 80. Each keyword string contains information for either identification, display, or registration of the image. Additional strings of blanks are added to the header so that the length of a header line equals the number of bytes in a line of image data. The header line will be equal in length to the length of an image line. If the sum of the byte count of the header is less than the sample count of one DOQ image line, then the remainder of the header is padded with the requisite number of 80 character blank entries, each terminated with an asterisk and newline character.", "acquisitionStart": "1944-02-07", "acquisitionEnd": "2006-03-27", "catalogs": ["EE", "GV"], "collectionName": "DOQ", "collectionLongName": "DOQ = USGS Digital Orthophoto Quadrangle: 1975 - 2005", "datasetId": "5e83a021c2655d64", "datasetAlias": "doq_qq", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-04-15 02:04:39.509875-05", "doiNumber": "https://doi.org/10.5066/F7125QVD", "ingestFrequency": null, "keywords": "none,Digital Orthophotoquad,DOQQ,7.5- x 7.5-Minute Orthophoto,2-Meter Orthophoto,Quarter-Quadrangle Orthophoto,Rectified Photograph,Digital Image Map,DOQ,Orthophoto,Digital Orthophoto,Aerial Photograph,3.75- x 3.75-Minute Orthophoto,1-Meter Orthophoto", "legacyId": 1131, "sceneCount": 0, "spatialBounds": {"north": 71.501, "east": -65.1865, "south": 17.874, "west": -158.401}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "Mississippi_Valley_Flood_Mar08", "collectionLongName": "Mississippi_Valley_Flood_Mar08", "datasetId": "5ee6cd3f1c8115f2", "datasetAlias": "event120", "datasetCategoryName": "2008 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7507, "sceneCount": 1270103, "spatialBounds": {"north": 37.171081, "east": -90.193239, "south": 35.535744, "west": -92.675764}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD09GQ V6", "collectionLongName": "MODIS/AQUA MYD09GQ Surface Reflectance Daily L2G Global 250m Version 6", "datasetId": "5e83dda9e601478c", "datasetAlias": "modis_myd09gq_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:45.032464-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD09GQ.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10551, "sceneCount": 1992475, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. \r\n\r\n", "acquisitionStart": "1999-06-29", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Sys ETM+ L1G (1999-2003)", "collectionLongName": "Tri-Decadal Global Landsat Orthorectified ETM+ Systematically Corrected: 1999-2003", "datasetId": "5e83a460535af014", "datasetAlias": "sys_etm", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:13:21.074726-05", "doiNumber": "https://doi.org/10.5066/P9L6UMCC", "ingestFrequency": "P1D", "keywords": "None,USGS EROS,Radiance,Visible Imagery,Earth Science,Infrared Wavelength,Imagery,Satellite,ETM+,Level 1G,Landsat,Systematic,Panchromatic", "legacyId": 3211, "sceneCount": 9604, "spatialBounds": {"north": 82.0257750350878, "east": 180.01, "south": -56.9786473138382, "west": -180.01}, "temporalCoverage": "[\"1999-06-29 00:00:00-05\",\"2003-05-31 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200905_California_Fires", "collectionLongName": "200905_California_Fires", "datasetId": "5ee6c537c632d811", "datasetAlias": "event336", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6641, "sceneCount": 1270103, "spatialBounds": {"north": 35.6231012294664, "east": -118.402039469695, "south": 33.5569245073121, "west": -121.23427059212}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201009_Hurricane_Igor", "collectionLongName": "201009_Hurricane_Igor", "datasetId": "5ee6c555e2311257", "datasetAlias": "event619", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6549, "sceneCount": 1270103, "spatialBounds": {"north": 48.5066118935793, "east": -52.0629611547748, "south": 46.3622349114231, "west": -55.626588467361}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201109_Earthquake_India", "collectionLongName": "201109_Earthquake_India", "datasetId": "5ee6c584993ef24b", "datasetAlias": "event726", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6382, "sceneCount": 1270103, "spatialBounds": {"north": 28.3998654950768, "east": 89.6006183213707, "south": 25.0271512199437, "west": 86.7794470156384}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Fires_WA", "collectionLongName": "201209_Fires_WA", "datasetId": "5ee6c60f866a85cf", "datasetAlias": "event829", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6146, "sceneCount": 1270103, "spatialBounds": {"north": 46.562433, "east": -120.973039, "south": 45.734596, "west": -122.492138}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Floods_Cambodia", "collectionLongName": "201310_Floods_Cambodia", "datasetId": "5ee6c66f2d2fc749", "datasetAlias": "event952", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6846, "sceneCount": 1270107, "spatialBounds": {"north": 14.0799498171529, "east": 107.423469635448, "south": 10.4976800847308, "west": 102.087280527588}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201409_Floods_Pakistan", "collectionLongName": "201409_Floods_Pakistan", "datasetId": "5ee6c6c3d08faa8", "datasetAlias": "event1042", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8380, "sceneCount": 1270103, "spatialBounds": {"north": 35.6985889667895, "east": 75.7790496265625, "south": 23.4614404101988, "west": 66.4073320613561}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201511_Tornado_IA", "collectionLongName": "201511_Tornado_IA", "datasetId": "5ee6c737e75792b4", "datasetAlias": "event1156", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10540, "sceneCount": 1270103, "spatialBounds": {"north": 43.050637, "east": -90.43596, "south": 39.2076613730565, "west": -96.4094378248224}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Typhoon_Haima_PHL", "collectionLongName": "201610_Typhoon_Haima_PHL", "datasetId": "5ee6c77397469f37", "datasetAlias": "event1274", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12600, "sceneCount": 1270103, "spatialBounds": {"north": 20.257309, "east": 124.132759817141, "south": 15.029073, "west": 118.869400525334}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Tornado_US", "collectionLongName": "201709_Tornado_US", "datasetId": "5ee6c7ca4549fa91", "datasetAlias": "event1355", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14380, "sceneCount": 1270103, "spatialBounds": {"north": 47.1273090556657, "east": -91.4393637596827, "south": 43.442084, "west": -97.6259462791425}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Flood_US", "collectionLongName": "201810_Flood_US", "datasetId": "5ee6c8e11746ad3d", "datasetAlias": "event1933", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15804, "sceneCount": 1270103, "spatialBounds": {"north": 44.365769, "east": -82.2971531942713, "south": 35.0315290004338, "west": -98.381802}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Earthquake_PHL", "collectionLongName": "201911_Earthquake_PHL", "datasetId": "5ee6c9cbaff69b11", "datasetAlias": "event3375", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17206, "sceneCount": 1270103, "spatialBounds": {"north": 9.111036, "east": 127.154584, "south": 4.71882004891132, "west": 122.876490000307}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202011_Volcano_Merapi_IDN", "collectionLongName": "202011_Volcano_Merapi_IDN", "datasetId": "5fa43f565a63d794", "datasetAlias": "event2951", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 121, "spatialBounds": {"north": -6.16842000115094, "east": 111.792739985228, "south": -8.87781, "west": 108.8382078}, "temporalCoverage": "[\"2019-10-23 00:00:00-05\",\"2021-03-02 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_Flood_BOL", "collectionLongName": "202101_Flood_BOL", "datasetId": "5ff4b66e7d46a596", "datasetAlias": "event2964", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 32, "spatialBounds": {"north": -17.7208108445284, "east": -64.4662003849811, "south": -19.9854873711917, "west": -66.6737076893063}, "temporalCoverage": "[\"2020-08-27 00:00:00-05\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "High resolution orthorectified images combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map.\r\n\r\nA digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, color infrared, or color near infrared (4-band) with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel.\r\n", "acquisitionStart": "2000-03-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "High Resolution Orthoimagery", "collectionLongName": "High Resolution Orthoimagery = Orthorectified Metro Areas: 2000 - Present", "datasetId": "5e83a2397d63a400", "datasetAlias": "high_res_ortho", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-04-15 02:13:23.755421-05", "doiNumber": "https://doi.org/10.5066/F73X84W6", "ingestFrequency": "P1D", "keywords": "None,Aerial Photography,Black-and-White ,Natural Color,High Resolution Orthoimagery,Color Near-Infrared,Photographs,Orthorectified,Color Infrared,Georeferenced", "legacyId": 3411, "sceneCount": 3683217, "spatialBounds": {"north": 72.4600103095602, "east": 144.912916278479, "south": -15.1519554622203, "west": -170.861638887002}, "temporalCoverage": "[\"2000-03-01 00:00:00-06\",\"2018-05-07 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n ", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD09Q1 V6", "collectionLongName": "MODIS/AQUA MYD09Q1 Surface Reflectance 8-Day L3 Global 250m Version 6", "datasetId": "5e83ddb86af7ba00", "datasetAlias": "modis_myd09q1_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:00.303148-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD09Q1.006", "ingestFrequency": "P1D", "keywords": "Land Surface Reflectance,Terra,MODIS,Aqua", "legacyId": 10552, "sceneCount": 252269, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. ", "acquisitionStart": "1972-07-25", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MSS Film Only", "collectionLongName": "Landsat 1-5 MultiSpectral Scanner Film Only: 1972-1992", "datasetId": "5e83a34c3f33c396", "datasetAlias": "mss_film", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:08:45.501974-05", "doiNumber": "https://doi.org/10.5066/P9CW03GT", "ingestFrequency": "P1D", "keywords": "\r\n\r\n,Radiance,Imagery,Satellite,Remote Sensing,Multispectral Scanner,Visible Wavelengths,Landsat,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Visible Imagery,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6106, "sceneCount": 59991, "spatialBounds": {"north": 81.965564597483, "east": 180.01, "south": -82.4016195611826, "west": -180.01}, "temporalCoverage": "[\"1972-07-25 00:00:00-05\",\"1992-10-18 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200903_RedRiver_Flooding", "collectionLongName": "200903_RedRiver_Flooding", "datasetId": "5ee6c536278ef3bc", "datasetAlias": "event331", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6638, "sceneCount": 1270103, "spatialBounds": {"north": 49.849273377689, "east": -94.6346216283352, "south": 45.721954, "west": -98.7780868995745}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201009_Floods_WI", "collectionLongName": "201009_Floods_WI", "datasetId": "5ee6c55463d0a924", "datasetAlias": "event617", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6546, "sceneCount": 1270103, "spatialBounds": {"north": 45.6026123971412, "east": 126.052703, "south": 11.024892, "west": -93.5432725950448}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201109_Typhoon_Japan", "collectionLongName": "201109_Typhoon_Japan", "datasetId": "5ee6c5cb95b9aa7e", "datasetAlias": "event724", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6391, "sceneCount": 1270103, "spatialBounds": {"north": 34.294245, "east": 136.022853, "south": 33.49069, "west": 135.160407}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Floods_South_Sudan", "collectionLongName": "201209_Floods_South_Sudan", "datasetId": "5ee6c612cd7bad38", "datasetAlias": "event828", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6132, "sceneCount": 1270103, "spatialBounds": {"north": 10.725286, "east": 34.170571, "south": 9.583745, "west": 32.829997}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Typhoon_Nari", "collectionLongName": "201310_Typhoon_Nari", "datasetId": "5ee6c672eb053b96", "datasetAlias": "event951", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6843, "sceneCount": 1270107, "spatialBounds": {"north": 21.2880499944764, "east": 109.082921, "south": 9.05171003739054, "west": 103.339060396342}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201409_Volcano_Kilauea_HI", "collectionLongName": "201409_Volcano_Kilauea_HI", "datasetId": "5ee6c6c4cbcf0359", "datasetAlias": "event1041", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8340, "sceneCount": 1270103, "spatialBounds": {"north": 23.5106899997649, "east": -150.555574749058, "south": 16.2835770001853, "west": -162.340242211064}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201511_Spill_BRA", "collectionLongName": "201511_Spill_BRA", "datasetId": "5ee6c73428228fe0", "datasetAlias": "event1155", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10520, "sceneCount": 1270103, "spatialBounds": {"north": -19.1443107540915, "east": -41.586712337292, "south": -21.3163490776965, "west": -45.399489969294}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Flood_US", "collectionLongName": "201610_Flood_US", "datasetId": "5ee6c76f245bf32f", "datasetAlias": "event1272", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12580, "sceneCount": 1270103, "spatialBounds": {"north": 42.8714775542299, "east": -74.5262902506681, "south": 39.191803116241, "west": -79.593608}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Earthquake_MEX", "collectionLongName": "201709_Earthquake_MEX", "datasetId": "5ee6c7c65b236960", "datasetAlias": "event1354", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14360, "sceneCount": 1270103, "spatialBounds": {"north": 21.978613, "east": -92.958196, "south": 15.016239, "west": -103.731976}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Hurricane_Michael", "collectionLongName": "201810_Hurricane_Michael", "datasetId": "5ee6c8e27ae92563", "datasetAlias": "event1893", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15760, "sceneCount": 1270103, "spatialBounds": {"north": 44.682999, "east": -67.416445, "south": 4.484787, "west": -94.856065}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Volcano_Sabancaya_PER", "collectionLongName": "201911_Volcano_Sabancaya_PER", "datasetId": "5ee6c9c66525e046", "datasetAlias": "event3393", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17220, "sceneCount": 352, "spatialBounds": {"north": -13.8403857, "east": -69.4700554, "south": -17.42803, "west": -74.2650032}, "temporalCoverage": "[\"2019-09-24 00:00:00-05\",\"2021-02-26 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202011_Typhoon_Goni_PHL", "collectionLongName": "202011_Typhoon_Goni_PHL", "datasetId": "5fa062ab99ea39a0", "datasetAlias": "event2949", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 95, "spatialBounds": {"north": 14.4828301061501, "east": 124.956404368601, "south": 11.9447400251097, "west": 122.343470033394}, "temporalCoverage": "[\"2020-03-22 00:00:00-05\",\"2020-12-02 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202101_OilSpill_Bay_of_Campeche", "collectionLongName": "202101_OilSpill_Bay_of_Campeche", "datasetId": "5ff3452f47cafca5", "datasetAlias": "event2963", "datasetCategoryName": "2021 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 18, "spatialBounds": {"north": 19.8428199991072, "east": -91.815120237929, "south": 17.7183100007271, "west": -94.1686197685742}, "temporalCoverage": "[\"2020-07-22 00:00:00-05\",\"2021-01-22 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Version 6 Level 2 Gridded (L2G) Ocean Reflectance product consists of 1 kilometer reflectance data from MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this not an ocean product as the tiles produced are land tiles. The data set stores the \"best available pixel\" from all the qualifying observations in the first layer and if there are any subsequent observations available, then they are stored in either an extra full or a compact format layer within the data file Hierarchical Data Format (HDF). The Ocean Reflectance data product is categorized with the Surface Reflectance products, and has therefore attained stage 3 validation. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYDOCGA V6", "collectionLongName": "MYDOCGA: MODIS/Aqua Ocean Reflectance Daily L2G-Lite Global 1 km SIN Grid Version 6", "datasetId": "5e83ddf7f61385f7", "datasetAlias": "modis_mydocga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:19:03.453602-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYDOCGA.006", "ingestFrequency": "P1D", "keywords": "Brightness Temperature,Terra,Aqua,Moderate Resolution Imaging Spectroradiometer,Thermal Band,MODIS", "legacyId": 11209, "sceneCount": 2174005, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition.", "acquisitionStart": "2003-06-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NAIP", "collectionLongName": "National Agriculture Imagery Program", "datasetId": "5e83a340bf820c39", "datasetAlias": "naip", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:08:32.082935-05", "doiNumber": "https://doi.org/10.5066/F7QN651G", "ingestFrequency": "P1D", "keywords": "None,Aerial Imagery", "legacyId": 15920, "sceneCount": 1534353, "spatialBounds": {"north": 49.4542176579916, "east": -66.9208507401202, "south": -0.0099973, "west": -124.891487596185}, "temporalCoverage": "[\"2003-06-01 00:00:00-05\",\"2020-12-17 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The three-camera Return Beam Vidicon (RBV) that operated on Landsat satellites 1 and 2 acquired approximately 1600 sub-scenes at 80 meter resolution. The initial RBV sensor configuration used three independent cameras, each sensing a different spectral wavelength (0.48 to 0.83). Landsat 1 & 2 RBV data were recorded to 70 mm black & white film rolls at NASA Goddard Space Flight Center and delivered to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center for archiving and user distribution. The RBV sensor utilized vidicon tube instruments containing an electron gun that read images from a photoconductive faceplate similar to television cameras. The data stream received from the satellite was analog-to-digital preprocessed to correct for radiometric and geometric errors. The RBV system was redesigned for Landsat 3 to use a two camera configuration mounted side by side that acquired four sub-scenes within the field of view of a Multispectral Scanner (MSS) scene. The Landsat 3 RBV spatial resolution is 40 meters. Landsat 3 data were also recorded to 70 mm film until the EROS Digital Imagery Processing System (EDIPS) became operational in 1979. EROS Laser Beam Recorders (LBR's) recorded MSS and RBV data at 28 micron to 9-inch film rolls and the imagery was chipped up for archival storage and remains a viable archive backup to the digital MSS archive. However, all of the RBV digital archive data were purged for lack of computer compatible reasons. Today, the RBV 70 mm and 9-inch film sources are maintained in the USGS EROS archive and are accessible through EarthExplorer as an on-demand film scanning product. RBV images that are scanned are used to generate browse and archive TIFF products that remain as no-cost options for all users. The RBV raw TIFF products are not georeferenced. They are black & white images that faithfully represent the Landsat RBV film archive as it exists today.\r\n", "acquisitionStart": "1978-03-08", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "RBV Film Only", "collectionLongName": "Landsat 1-2 Return Beam Vidicon Film Only: 1972-1983", "datasetId": "5e83a3c5c9580d3e", "datasetAlias": "rbv_film", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:10:45.610543-05", "doiNumber": "https://doi.org/10.5066/P9A7AC65", "ingestFrequency": "P1D", "keywords": "None,Imagery,Return Beam Vidicon (RBV)\r\n,Landsat,Panchromatic,Image Map,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 7260, "sceneCount": 137993, "spatialBounds": {"north": 81.0324, "east": 180.01, "south": -79.8967, "west": -180.01}, "temporalCoverage": "[\"1978-03-08 00:00:00-06\",\"1983-03-30 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200903_Floods_Indiana_", "collectionLongName": "200903_Floods_Indiana_", "datasetId": "5ee6c5357634d944", "datasetAlias": "event330", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201009_Floods_Slovenia", "collectionLongName": "201009_Floods_Slovenia", "datasetId": "5ee6c5534c74fb23", "datasetAlias": "event616", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6543, "sceneCount": 1270103, "spatialBounds": {"north": 47.0178729866969, "east": 16.8621096239202, "south": 45.0044080071358, "west": 13.4839355552346}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201109_Fires_Texas", "collectionLongName": "201109_Fires_Texas", "datasetId": "5ee6c5862d05aaf2", "datasetAlias": "event722", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6388, "sceneCount": 1270103, "spatialBounds": {"north": 34.1805407723197, "east": -92.6863040582076, "south": 26.151839, "west": -99.1223679936241}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Floods_Pakistan", "collectionLongName": "201209_Floods_Pakistan", "datasetId": "5ee6c611308e9840", "datasetAlias": "event827", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6140, "sceneCount": 1270103, "spatialBounds": {"north": 29.8323306133111, "east": 71.3947944414004, "south": 23.5631414284134, "west": 66.3380921758203}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Tornados_Midwest", "collectionLongName": "201310_Tornados_Midwest", "datasetId": "5ee6c67195703523", "datasetAlias": "event949", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6837, "sceneCount": 1270107, "spatialBounds": {"north": 42.804602, "east": -94.951661, "south": 41.974581, "west": -98.038834}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201408_Earthquake_CA", "collectionLongName": "201408_Earthquake_CA", "datasetId": "5ee6c6b7cc0e6d22", "datasetAlias": "event1040", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8303, "sceneCount": 1270103, "spatialBounds": {"north": 39.9975599367802, "east": -107.813053, "south": 33.451372, "west": -125.071326324791}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201511_Cyclone_Chapala_YEM", "collectionLongName": "201511_Cyclone_Chapala_YEM", "datasetId": "5ee6c732522c1fd0", "datasetAlias": "event1154", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10500, "sceneCount": 1270103, "spatialBounds": {"north": 17.471881, "east": 54.460857, "south": 11.9352101471362, "west": 45.535465}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Flood_PAN", "collectionLongName": "201610_Flood_PAN", "datasetId": "5ee6c76ea532e71c", "datasetAlias": "event1273", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12583, "sceneCount": 1270103, "spatialBounds": {"north": 9.73664993026649, "east": -77.911042, "south": 5.630966, "west": -82.667829}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Hurricane_Irma_Charter", "collectionLongName": "201709_Hurricane_Irma_Charter", "datasetId": "5ee6c7c98114f32e", "datasetAlias": "event1353", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14300, "sceneCount": 1270103, "spatialBounds": {"north": 32.2009638909381, "east": -63.8033681057659, "south": 16.9024579875833, "west": -83.2729438329356}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Tornado_US", "collectionLongName": "201810_Tornado_US", "datasetId": "5ee6c8e530353af4", "datasetAlias": "event1854", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15746, "sceneCount": 1270103, "spatialBounds": {"north": 44.8775379993479, "east": -73.6537310086123, "south": 37.3956290006559, "west": -94.695389}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201911_Flood_KEN", "collectionLongName": "201911_Flood_KEN", "datasetId": "5ee6c9c9a6837d9d", "datasetAlias": "event3374", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17203, "sceneCount": 1270103, "spatialBounds": {"north": 5.39741999373697, "east": 44.101645, "south": -2.21170599708537, "west": 35.922982}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202010_Flood_VNM_783", "collectionLongName": "202010_Flood_VNM_783", "datasetId": "5f99a124c463cf61", "datasetAlias": "event2948", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 134, "spatialBounds": {"north": 19.8453896866401, "east": 109.906739849474, "south": 13.3734104871304, "west": 103.412000361101}, "temporalCoverage": "[\"2019-04-25 00:00:00-05\",\"2020-11-28 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Version 6 MODIS Level 2 Gridded (L2G) Thermal Band product consists of brightness temperature data from MODIS bands 20, 31, and 32 and albedo data from band 20 along with the orbit and granule pointer fields. This data has a pixel size of 1,000 meters, or 1 kilometer. The data set stores the \"best available pixel\" from all the qualifying observations in the first layer and if there are any subsequent observations available, they are stored in either an extra full or a compact format layer within the HDF file.\r\nThe Thermal Band data product is categorized with the Surface Reflectance products, and has therefore attained stage 3 validation. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10.\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYDTBGA V6", "collectionLongName": "MYDTBGA: MODIS/AQUA Thermal Bands Daily L2G Global 1 km SIN Grid Version 6", "datasetId": "5e83a682aa646024", "datasetAlias": "modis_mydtbga_v6", "datasetCategoryName": "MODIS Land Surface Reflectance - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:22:27.00929-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYDTBGA.006", "ingestFrequency": "P1D", "keywords": "Ocean Reflectance,Aqua,MODIS,Terra,Moderate Resolution Imaging Spectroradiometer", "legacyId": 11210, "sceneCount": 2175880, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The National High Altitude Photography (NHAP) program, which was operated from 1980-1989, was coordinated by the U.S. Geological Survey as an interagency project to eliminate duplicate photography in various Government programs. The aim of the program was to cover the 48 conterminous states over a 5-year span. In the NHAP program, black-and-white and color-infrared aerial photographs were obtained on 9-inch film from an altitude of 40,000 feet above mean terrain elevation and are centered over USGS 7.5-minute quadrangles. The color-infrared photographs are at a scale of 1:58,000 (1 inch equals about .9 miles), and the black-and-white photographs are at a scale of 1:80,000 (1 inch equals about 1.26 miles). All NHAP flights were flown in a North to South direction. These photographs are offered as digital images.\r\n", "acquisitionStart": "1974-06-09", "acquisitionEnd": "1995-06-29", "catalogs": ["EE"], "collectionName": "NHAP", "collectionLongName": "NHAP = National High-Altitude Aerial Photography: 1980 - 1989", "datasetId": "5e83a328548fe769", "datasetAlias": "nhap", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:08:08.571015-05", "doiNumber": "https://doi.org/10.5066/F7M043NG", "ingestFrequency": null, "keywords": "GCMD parameter keywords,EDC,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery,Imagery,USGS,Photographs,Photography,NHAP,EROS,Earth Science > Radiance or Imagery > Visible Wavelengths > Visible Imagery,Earth Science > Land Surface > Surface Radiative Properties > Reflectance", "legacyId": 4663, "sceneCount": 0, "spatialBounds": {"north": 49.6038198400775, "east": -66.8174907139176, "south": 23.9173000139784, "west": -124.815079367876}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites. The Landsat Thematic Mapper (TM), a sensor carried on Landsats 4 and 5, acquired seven spectral bands of radiant energy from the earth's surface. The wavelength range for the TM sensor is from the visible through the mid-infrared and into the thermal-infrared portion of the electromagnetic spectrum. The scenes are approximately 170 km by 185 km at a resolution of 30 meters for the six reflective bands and 120 meters for the thermal band. Bands 1 through 5 and 7 are reflective wavelengths; band 6 is thermal data. The TM Film Only collection includes scenes that are no longer available on magnetic media and the only remaining source is on black-and-white film.", "acquisitionStart": "1982-08-17", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "TM Film Only", "collectionLongName": "Landsat 4-5 Thematic Mapper Film Only: 1982-1988", "datasetId": "5e83a44dff5d85bf", "datasetAlias": "tm_film", "datasetCategoryName": "Landsat Legacy", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:13:02.03937-05", "doiNumber": "https://doi.org/10.5066/P9QB18BR", "ingestFrequency": "P1D", "keywords": "None,TM,Infrared Wavelength,Landsat,Imagery,Film,USGS,NASA,Thematic Mapper,Satellite,Remote Sensing,Visible Wavelengths,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 4080, "sceneCount": 1583, "spatialBounds": {"north": 81.7924176641595, "east": 180.01, "south": -82.8026975539032, "west": -180.01}, "temporalCoverage": "[\"1982-08-17 00:00:00-05\",\"1989-03-04 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200902_Fires_Australia", "collectionLongName": "200902_Fires_Australia", "datasetId": "5ee6c532119d05c8", "datasetAlias": "event328", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201009_Fires_CO", "collectionLongName": "201009_Fires_CO", "datasetId": "5ee6c551666552cf", "datasetAlias": "event615", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6537, "sceneCount": 1270103, "spatialBounds": {"north": 41.3234047629993, "east": -102.699622547057, "south": 39.311407219647, "west": -107.3161743776}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201108_Earthquake_East_Coast_US", "collectionLongName": "201108_Earthquake_East_Coast_US", "datasetId": "5ee6c580cacad173", "datasetAlias": "event721", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6370, "sceneCount": 1270103, "spatialBounds": {"north": 38.138657, "east": -77.688926, "south": 37.733325, "west": -78.178331}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Fires_Equador", "collectionLongName": "201209_Fires_Equador", "datasetId": "5ee6c60e51e34aae", "datasetAlias": "event826", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6149, "sceneCount": 1270103, "spatialBounds": {"north": 2.40276597833183, "east": -77.0714630147413, "south": -3.84199897540792, "west": -81.7926569976658}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Fires_Australia", "collectionLongName": "201310_Fires_Australia", "datasetId": "5ee6c66d17067d00", "datasetAlias": "event950", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6840, "sceneCount": 1270107, "spatialBounds": {"north": -30.6396812649784, "east": 153.417999906005, "south": -37.1169385090695, "west": 147.423580124565}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201408_Landslide_WA", "collectionLongName": "201408_Landslide_WA", "datasetId": "5ee6c6bf1ce0acf6", "datasetAlias": "event1039", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8300, "sceneCount": 1270103, "spatialBounds": {"north": 49.9297771499383, "east": -117.959611949535, "south": 46.3112915833609, "west": -122.528889565601}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201511_Airplane_RUS", "collectionLongName": "201511_Airplane_RUS", "datasetId": "5ee6c731dd31af34", "datasetAlias": "event1153", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10460, "sceneCount": 1270103, "spatialBounds": {"north": 31.3653399251953, "east": 34.710898542132, "south": 29.2279700660147, "west": 32.2813602529678}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Debris_US", "collectionLongName": "201610_Debris_US", "datasetId": "5ee6c76ccc53f642", "datasetAlias": "event1269", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12440, "sceneCount": 1270103, "spatialBounds": {"north": 40.201199, "east": -117.055166, "south": 37.514228, "west": -122.544352}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Hurricane_Irma", "collectionLongName": "201709_Hurricane_Irma", "datasetId": "5ee6c7c810aec340", "datasetAlias": "event1352", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14280, "sceneCount": 1270103, "spatialBounds": {"north": 36.4374160260156, "east": 18.399946, "south": -64.874981, "west": -95.492623}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Landslide_UGA", "collectionLongName": "201810_Landslide_UGA", "datasetId": "5ee6c8e4cbe012ab", "datasetAlias": "event1918", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15780, "sceneCount": 1270103, "spatialBounds": {"north": 3.93879538090122, "east": 37.1732282876927, "south": -1.08429, "west": 31.8197181215608}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201910_Flood_CMR", "collectionLongName": "201910_Flood_CMR", "datasetId": "5ee6c9d49b5b7d1c", "datasetAlias": "event3353", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17183, "sceneCount": 1270103, "spatialBounds": {"north": 12.6220699982461, "east": 16.712823, "south": 9.05541000094346, "west": 13.492013}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202010_Hurricane_Zeta", "collectionLongName": "202010_Hurricane_Zeta", "datasetId": "5f97002e5247194e", "datasetAlias": "event2947", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 1929, "spatialBounds": {"north": 32.8411675446694, "east": -85.4032414205431, "south": 27.7682309740632, "west": -93.2171899807283}, "temporalCoverage": "[\"2010-10-29 00:00:00-05\",\"2020-11-22 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The National Aerial Photography Program (NAPP) was coordinated by the USGS as an interagency project to acquire cloud-free aerial photographs at an altitude of 20,000 feet above mean terrain elevation. The photographs were taken with a 6-inch focal length lens and are at a scale of 1:40,000. Coverage over the conterminous United States includes both black-and-white (BW) and color infrared (CIR) aerial photographs. Film type and extent of coverage were determined by available funds and operational requirements. The NAPP program, which was operational from 1987 to 2007, consists of more than 1.3 million images. Photographs were acquired on 9-inch film and were centered over quarters of USGS 7.5-minute quadrangles.\r\n\r\nPhotographs are available as medium resolution digital images in Tagged Image File Format (TIFF). Medium resolution digital products were created with a digital single-lens reflex camera at a resolution of 63 microns, or 400 dots per inch (dpi).\r\n\r\n", "acquisitionStart": "1987-06-03", "acquisitionEnd": "2007-02-11", "catalogs": ["EE"], "collectionName": "NAPP", "collectionLongName": "NAPP = National Aerial Photography Program 1:40,000 Scale: 1987 - 2007", "datasetId": "5e83a396ee5f70de", "datasetAlias": "napp", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-04-15 02:15:52.026471-05", "doiNumber": "https://doi.org/10.5066/F7VD6WQZ", "ingestFrequency": null, "keywords": "GCMD Parameter Keywords,EROS,EDC,Earth Science > Radiance or Imagery > Visible Wavelengths > Visible Imagery,Photographs,NAPP,Aerial Photography,Earth Science > Land Surface > Surface Radiative Properties > Reflectance,Photography,USGS,Imagery,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery", "legacyId": 4662, "sceneCount": 0, "spatialBounds": {"north": 49.44832, "east": 0.05558, "south": 23.92668, "west": -124.78162}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200902_Tornado_OK", "collectionLongName": "200902_Tornado_OK", "datasetId": "5ee6c533ac1108d3", "datasetAlias": "event325", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201009_Earthquake_New_Zealand", "collectionLongName": "201009_Earthquake_New_Zealand", "datasetId": "5ee6c55076d1c92a", "datasetAlias": "event614", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6534, "sceneCount": 1270103, "spatialBounds": {"north": -41.915267, "east": 175.160085088095, "south": -44.2317885548493, "west": 171.790468882915}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201108_Floods_Nigeria", "collectionLongName": "201108_Floods_Nigeria", "datasetId": "5ee6c5815a9186f6", "datasetAlias": "event716", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6373, "sceneCount": 1270103, "spatialBounds": {"north": 7.484238, "east": 4.013893, "south": 7.303402, "west": 3.681595}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Landslide_India", "collectionLongName": "201209_Landslide_India", "datasetId": "5ee6c613867622", "datasetAlias": "event825", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6123, "sceneCount": 1270103, "spatialBounds": {"north": 30.661049, "east": 79.509586, "south": 30.364083, "west": 78.97013}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Fires_CA", "collectionLongName": "201310_Fires_CA", "datasetId": "5ee6c66ed54efe4d", "datasetAlias": "event948", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6829, "sceneCount": 1270107, "spatialBounds": {"north": 40.556609, "east": -122.401456, "south": 40.363662, "west": -122.651471}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201408_Floods_Panama", "collectionLongName": "201408_Floods_Panama", "datasetId": "5ee6c6bc4a5f5553", "datasetAlias": "event1036", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8240, "sceneCount": 1270103, "spatialBounds": {"north": 9.74399985917884, "east": -81.7588000207895, "south": 7.6016800872195, "west": -83.8687997156939}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201510_Fire_CA", "collectionLongName": "201510_Fire_CA", "datasetId": "5ee6c72bf1747242", "datasetAlias": "event1152", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10420, "sceneCount": 1270103, "spatialBounds": {"north": 35.7186471172513, "east": -118.540051776123, "south": 33.4829125913861, "west": -121.199727715581}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Fire_US", "collectionLongName": "201610_Fire_US", "datasetId": "5ee6c76da7c13824", "datasetAlias": "event1270", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12460, "sceneCount": 1270103, "spatialBounds": {"north": 45.7207879818513, "east": -99.7276708329213, "south": 36.3878000051322, "west": -106.464638175074}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201709_Fire_US", "collectionLongName": "201709_Fire_US", "datasetId": "5ee6c7c7f7172c05", "datasetAlias": "event1351", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14260, "sceneCount": 1270103, "spatialBounds": {"north": 49.007199, "east": 127.721447, "south": 29.677411, "west": -124.712196}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Hurricane_Rosa", "collectionLongName": "201810_Hurricane_Rosa", "datasetId": "5ee6c8e3e34e2c8a", "datasetAlias": "event1853", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15743, "sceneCount": 1270103, "spatialBounds": {"north": 39.5997179994735, "east": -102.658796958591, "south": 29.4668950005009, "west": -120.144879792274}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201910_Wildfire_LBN_SYR", "collectionLongName": "201910_Wildfire_LBN_SYR", "datasetId": "5ee6c9cebfd75668", "datasetAlias": "event3333", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17180, "sceneCount": 1270103, "spatialBounds": {"north": 37.297195, "east": 38.84102, "south": 30.847877, "west": 32.971536}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202010_OilSpill_Caribbean", "collectionLongName": "202010_OilSpill_Caribbean", "datasetId": "5f91902d4426baaa", "datasetAlias": "event2946", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 54, "spatialBounds": {"north": 11.17715998062, "east": -61.3192301333857, "south": 9.05649001279614, "west": -63.5556999858213}, "temporalCoverage": "[\"2020-10-07 00:00:00-05\",\"2021-01-24 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The EROS Image Gallery collection is composed of a wide variety of images ranging from low altitude aircraft to satellite and NASA imagery; oblique photographs and ground imagery are also included in this primarily USGS collection. These images were used in publications, posters, and special projects. They have been scanned, indexed and are searchable for no-cost downloads to the science community, educators and general public.\r\n\r\nIncluded in this gallery are the Earth As Art 1, 2, and 3 collections and Landsat mosaics. Also included are special images of elevation data, natural disasters, images that capture natural beauty of the Earth phenomena, and unique perspectives of rivers, lakes, seas, mountains, icebergs, as well as national parks around the world. These collections were developed more for their aesthetic beauty rather than scientific interpretation.\r\n\r\nOver time, the EROS Imagery Gallery will continue to grow as data sets from the \"Image of the Week\" postings are retired to the gallery. The \"Image of the Week\" posters are scientific observations that highlight current conditions or changes in water resources and land cover over time.\r\n", "acquisitionStart": "1972-04-15", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "PAO Image Gallery", "collectionLongName": "PAO Image Gallery = Public Affairs Photos of EROS Projects: 1972 - 2005", "datasetId": "5e83d80da9ae84e0", "datasetAlias": "pao_ee", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:53:50.060512-05", "doiNumber": "https://doi.org/10.5066/F7BG2M7W", "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Image Map,Lewis and Clark,Earth As Art,Public Affairs Office,State Mosaics,Earth Resources Observation and Science (EROS) Center,Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 8080, "sceneCount": 895, "spatialBounds": null, "temporalCoverage": "[\"1966-01-01 00:00:00-06\",\"2021-01-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200901_Blizzard_KY", "collectionLongName": "200901_Blizzard_KY", "datasetId": "5ee6c5306f84d567", "datasetAlias": "event326", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6620, "sceneCount": 1270103, "spatialBounds": {"north": 37.9475, "east": -87.458748, "south": 36.489998, "west": -88.76}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201008_Hurricane_Earl", "collectionLongName": "201008_Hurricane_Earl", "datasetId": "5ee6c54faa92b05b", "datasetAlias": "event608", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6531, "sceneCount": 1270103, "spatialBounds": {"north": 39.9087126725359, "east": -61.1613194856164, "south": 16.3567136649005, "west": -79.8338900868175}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201108_Hurricane_Irene", "collectionLongName": "201108_Hurricane_Irene", "datasetId": "5ee6c58215db8771", "datasetAlias": "event705", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6376, "sceneCount": 1270103, "spatialBounds": {"north": 46.420184, "east": -65.416149, "south": 17.85243, "west": -82.891583}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Floods_Cameroon", "collectionLongName": "201209_Floods_Cameroon", "datasetId": "5ee6c610a323a5ea", "datasetAlias": "event824", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6143, "sceneCount": 1270103, "spatialBounds": {"north": 12.5364078387948, "east": 16.1871369131938, "south": 9.068609, "west": 12.0393604153818}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Earthquake_Philippines", "collectionLongName": "201310_Earthquake_Philippines", "datasetId": "5ee6c66cf28fd0e0", "datasetAlias": "event946", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6823, "sceneCount": 1270107, "spatialBounds": {"north": 12.6277397593256, "east": 125.929359467201, "south": 9.05317000000105, "west": 121.873030059598}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201408_Floods_India", "collectionLongName": "201408_Floods_India", "datasetId": "5ee6c6bb49b21cd9", "datasetAlias": "event1037", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8260, "sceneCount": 1270103, "spatialBounds": {"north": 35.6985889667895, "east": 95.8208668461867, "south": 22.49, "west": 71.5433774877419}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201511_Flood_IRQ", "collectionLongName": "201511_Flood_IRQ", "datasetId": "5ee6c7339d7c982b", "datasetAlias": "event1157", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10560, "sceneCount": 1270103, "spatialBounds": {"north": 37.1149498367424, "east": 48.3234923118457, "south": 30.6588704461569, "west": 42.186984954192}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Hurricane_Matthew", "collectionLongName": "201610_Hurricane_Matthew", "datasetId": "5ee6c770218df82c", "datasetAlias": "event1267", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12420, "sceneCount": 1270103, "spatialBounds": {"north": 29.359621, "east": -67.653316, "south": 16.2520207692815, "west": -80.7820399855178}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201708_Hurricane_Harvey", "collectionLongName": "201708_Hurricane_Harvey", "datasetId": "5ee6c7c2813b7a50", "datasetAlias": "event1348", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14200, "sceneCount": 1270103, "spatialBounds": {"north": 49.232123, "east": -59.7133615577204, "south": 13.3878701859405, "west": -119.854413}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201810_Fire_US", "collectionLongName": "201810_Fire_US", "datasetId": "5ee6c8dfe4741324", "datasetAlias": "event1833", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15740, "sceneCount": 1270103, "spatialBounds": {"north": 49.5450729994101, "east": -104.307102203827, "south": 39.7129590004544, "west": -126.141459855628}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201910_Volcano_Copahue_ARG", "collectionLongName": "201910_Volcano_Copahue_ARG", "datasetId": "5ee6c9cff6c7a516", "datasetAlias": "event3313", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17160, "sceneCount": 327, "spatialBounds": {"north": 15.97253, "east": -68.902900006625, "south": -40.0264356, "west": -92.230702}, "temporalCoverage": "[\"2019-09-20 00:00:00-05\",\"2021-02-24 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202010_Flood_VNM", "collectionLongName": "202010_Flood_VNM", "datasetId": "5f8899f0e26eca29", "datasetAlias": "event2945", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 345, "spatialBounds": {"north": 24.5933998567522, "east": 110.431613466554, "south": 10.6334676, "west": 0.4589345}, "temporalCoverage": "[\"2015-12-19 00:00:00-06\",\"2020-10-25 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The NRCS FSA slide scan collection focuses on cropland, although other land use types are often captured. The project covers over 33 counties in eastern South Dakota. Slide capture dates generally fall between the years 1980 to 2002.", "acquisitionStart": "1979-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "SD NRCS Section Photos", "collectionLongName": "SD NRCS Section Photos = USDA/FSA Eastern SD Aerial Photos: 1979 - 2003", "datasetId": "5e83a3fcc377fc63", "datasetAlias": "nrcs", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:11:40.261775-05", "doiNumber": "https://doi.org/10.5066/F7G73BZ6", "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS) ,Image Map,Imagery,Cropland,Earth Resources Observation and Science (EROS) Center,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7423, "sceneCount": 663196, "spatialBounds": {"north": 45.953, "east": -96.437, "south": 42.4690092048609, "west": -100.72}, "temporalCoverage": "[\"1979-06-01 00:00:00-05\",\"2003-10-01 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "200902_Volcano_Mt_Redoubt", "collectionLongName": "200902_Volcano_Mt_Redoubt", "datasetId": "5ee6c53487eab2de", "datasetAlias": "event323", "datasetCategoryName": "2009 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6632, "sceneCount": 1270103, "spatialBounds": {"north": 61.129369929311, "east": -149.989804455937, "south": 58.9801920936208, "west": -154.929165131782}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201007_Floods_Pakistan", "collectionLongName": "201007_Floods_Pakistan", "datasetId": "5ee6c54ed674c60a", "datasetAlias": "event604", "datasetCategoryName": "2010 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6528, "sceneCount": 1270103, "spatialBounds": {"north": 39.921952543034, "east": 78.6931112780087, "south": 22.1113985703024, "west": 61.468747}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201108_Hurricane_Irene_Charter", "collectionLongName": "201108_Hurricane_Irene_Charter", "datasetId": "5ee6c5839e4ad1a5", "datasetAlias": "event713", "datasetCategoryName": "2011 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6379, "sceneCount": 1270103, "spatialBounds": {"north": 43.807971, "east": -68.930864, "south": 31.99162, "west": -78.879673}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201209_Earthquake_China", "collectionLongName": "201209_Earthquake_China", "datasetId": "5ee6c60d85f727cf", "datasetAlias": "event823", "datasetCategoryName": "2012 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6152, "sceneCount": 1270103, "spatialBounds": {"north": 28.41076862149, "east": 105.063084998874, "south": 26.4452353326831, "west": 102.566342343773}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201310_Landslide_Japan", "collectionLongName": "201310_Landslide_Japan", "datasetId": "5ee6c6706e256ebc", "datasetAlias": "event947", "datasetCategoryName": "2013 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6826, "sceneCount": 1270107, "spatialBounds": {"north": 37.0317697225594, "east": 141.500159812556, "south": 32.1705408670108, "west": 137.959345791568}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201408_Floods_Bangladesh", "collectionLongName": "201408_Floods_Bangladesh", "datasetId": "5ee6c6ba8b127791", "datasetAlias": "event1038", "datasetCategoryName": "2014 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8280, "sceneCount": 1270103, "spatialBounds": {"north": 27.0575883466613, "east": 91.9699896540258, "south": 23.4512310264725, "west": 86.8639600056122}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201510_Earthquake_AFG", "collectionLongName": "201510_Earthquake_AFG", "datasetId": "5ee6c72ab6f8b260", "datasetAlias": "event1151", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10403, "sceneCount": 1270103, "spatialBounds": {"north": 38.5796478037168, "east": 77.0172365249574, "south": 33.5200324136499, "west": 67.3571718669903}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201610_Hurricane_Matthew_US", "collectionLongName": "201610_Hurricane_Matthew_US", "datasetId": "5ee6c771a5d20181", "datasetAlias": "event1268", "datasetCategoryName": "2016 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 12423, "sceneCount": 1270103, "spatialBounds": {"north": 38.5780480199142, "east": -72.705895, "south": 19.815584, "west": -84.3575355381453}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201708_Hurricane_Harvey_Charter", "collectionLongName": "201708_Hurricane_Harvey_Charter", "datasetId": "5ee6c7c35a5501e6", "datasetAlias": "event1350", "datasetCategoryName": "2017 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 14240, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201809_Earthquake_IDN", "collectionLongName": "201809_Earthquake_IDN", "datasetId": "5ee6c8d6ebe9633b", "datasetAlias": "event1813", "datasetCategoryName": "2018 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 15722, "sceneCount": 1270103, "spatialBounds": {"north": 2.519466, "east": 123.433517, "south": -3.237216, "west": 117.777411}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201910_Typhoon_Hagibis_JPN", "collectionLongName": "201910_Typhoon_Hagibis_JPN", "datasetId": "5ee6c9d2a609bef4", "datasetAlias": "event3293", "datasetCategoryName": "2019 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 17140, "sceneCount": 1270103, "spatialBounds": {"north": 40.221396, "east": 143.430654926806, "south": 33.5111105236535, "west": 136.198157}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "202010_Flood_TGO", "collectionLongName": "202010_Flood_TGO", "datasetId": "5f85c8f656495114", "datasetAlias": "event2943", "datasetCategoryName": "2020 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": null, "sceneCount": 414, "spatialBounds": {"north": 12.6334797845498, "east": 2.36088997323531, "south": 8.25360504924978, "west": -1.66058991208052}, "temporalCoverage": "[\"2017-10-18 00:00:00-05\",\"2020-11-05 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Side-Looking Airborne Radar (SLAR) is an image-producing system that derives its name from the fact that the radar beam is transmitted from the side of the aircraft during data acquisition SLAR is an active sensor; the system provides its own source of illumination in the form of microwave energy. Consequently, imagery can be obtained either day or night. Since microwave energy penetrates most clouds, SLAR can be used to prepare image maps of cloud-covered areas. Data are X-band synthetic aperture radar (horizontally transmitted, horizontally received) with the exception of some test sites. Since the radar signal is transmitted at a depressional angle below the horizontal plane in which the aircraft is flying, the signal strikes the terrain at an oblique angle, and the surficial expression of the geologic structure may thus be enhanced. The topographic expression of some surface features, such as subtle faults and folds, may be more clearly seen on radar imagery than on conventional aerial photographs or satellite images.", "acquisitionStart": "1979-02-01", "acquisitionEnd": "1993-11-01", "catalogs": ["EE"], "collectionName": "SLAR", "collectionLongName": "SLAR = USGS Side Looking Airborne Radar Mosaics: 1981 - 1990", "datasetId": "5e83d689b121f37b", "datasetAlias": "slar", "datasetCategoryName": "Aerial Imagery", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:47:21.264904-05", "doiNumber": "https://doi.org/10.5066/F76Q1VGQ", "ingestFrequency": null, "keywords": "Aerial,X-band,Synthetic Aperture Radar,Airborne,Radar Imagery,Side-Looking Airborne Radar (SLAR),Mosaic,Radar", "legacyId": 3513, "sceneCount": 0, "spatialBounds": {"north": 70.001, "east": 180.001, "south": 17.999, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, 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"collectionLongName": "201501_Storms_Malawi", "datasetId": "5ee6c6d0f399a1f0", "datasetAlias": "event1062", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8722, "sceneCount": 1270103, "spatialBounds": {"north": -11.9502400002291, "east": 35.3795994436371, "south": -15.531309827655, "west": 31.66235017473}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201501_Floods_Malawi", "collectionLongName": "201501_Floods_Malawi", "datasetId": "5ee6c6ce37f546e6", "datasetAlias": "event1064", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8760, "sceneCount": 1270103, "spatialBounds": {"north": -14.8189505975724, "east": 36.6751383756321, "south": -18.4272193311561, "west": 32.39}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201506_Debris_MI", "collectionLongName": "201506_Debris_MI", "datasetId": "5ee6c6ef21aa0cab", "datasetAlias": "event1105", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 9800, "sceneCount": 1270103, "spatialBounds": {"north": 43.212909, "east": -84.750478, "south": 42.618073, "west": -85.740497}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "0021-09-16", "acquisitionEnd": null, "catalogs": ["HDDS"], "collectionName": "201501_Floods_SriLanka", "collectionLongName": "201501_Floods_SriLanka", "datasetId": "5ee6c6cfff7f4308", "datasetAlias": "event1065", "datasetCategoryName": "2015 Events", "dataOwner": "DMID", "dateUpdated": "2020-04-07 18:02:02.614856-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),Earth Resources Observation and Science (EROS) Center,Imagery,Image Map,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8780, "sceneCount": 1270103, "spatialBounds": {"north": 9.73523999997389, "east": 83.2469198796639, "south": 4.71599000441891, "west": 79.307740043372}, "temporalCoverage": "[\"1897-04-05 00:00:00-06\",\"2020-06-30 00:00:00-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Algeria 3", "collectionLongName": "Calibration Validation Reference Sites - Algeria 3", "datasetId": "5e83da055c33d94b", "datasetAlias": "calval_pis_algeria_3", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:02:13.999896-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Topography,90-meter resolution- 3 arc second of the world,Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Mapping,Shuttle Radar Topography Mission (SRTM),Elevation", "legacyId": 4482, "sceneCount": 1886, "spatialBounds": {"north": 31.3771618705642, "east": 10.0399246246341, "south": 29.0820272945435, "west": 5.21783496856475}, "temporalCoverage": "[\"1972-08-11 09:31:37-05\",\"2020-10-01 09:27:36-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Algeria 5", "collectionLongName": "Calibration Validation Reference Sites - Algeria 5", "datasetId": "5e83da0868e0e43", "datasetAlias": "calval_pis_algeria_5", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:02:16.759373-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4483, "sceneCount": 3429, "spatialBounds": {"north": 32.8062021868069, "east": 4.25767622079287, "south": 29.2351272591246, "west": -0.337688223509577}, "temporalCoverage": "[\"1972-08-15 00:00:00-05\",\"2021-01-01 09:45:55-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Advanced Spaceborne Thermal Emission and Reflection radiometer Global Emissivity Database (ASTER GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. The North America portion of this collection was formerly called the North American ASTER Land Surface Emissivity Database (NAALSED) - a seasonal dataset consisting of mean summer (J-A-S) and winter (J-F-M) products.\r\n\r\nASTER GED products are output on 1degree x 1 degree grids at 100-meter or 1-kilometer spatial resolution (nominal) and include the mean emissivity and standard deviation for all 5 ASTER thermal infrared bands, mean land surface temperature (LST) and standard deviation, a re-sampled ASTER GDEM (not included in the North America Winter products), land-water mask, mean Normalized Difference Vegetation Index (NDVI) and standard deviation, latitude, longitude, and observation count.\r\n\r\nAdditional ASTER GED product information is available at https://lpdaac.usgs.gov/products/community_products_table. Product tiles are available in HDF and binary format and may be downloaded via HTTP by visiting the following data clients: NASA Reverb (http://reverb.echo.nasa.gov), LP DAAC Data Pool (http://e4ftl01.cr.usgs.gov/ASTT/), or EarthExplorer (http://earthexplorer.usgs.gov). ", "acquisitionStart": "2000-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ASTER GED AG100", "collectionLongName": "ASTER Global Emissivity Dataset 100-meter V003", "datasetId": "5e839f1d92f15229", "datasetAlias": "aster_ged_ag100", "datasetCategoryName": "ASTER Global Emissivity Datasets", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:50:53.190106-05", "doiNumber": "http://dx.doi.org/10.5067/Community/ASTER_GED/AG100.003", "ingestFrequency": "P1D", "keywords": "None,Normalized Difference Vegetation Index,ASTER,Imagery,Earth Observing System,U.S. Geological Survey (USGS) ,Image Map,Emissivity,TERRA,Land Processes Distributed Active Archive Center (LPDAAC),Land Surface Temperature,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 7620, "sceneCount": 25276, "spatialBounds": {"north": 84.01, "east": 180.01, "south": -59.01, "west": -180.01}, "temporalCoverage": "[\"2000-01-01 00:00:00-06\",\"2000-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Advanced Spaceborne Thermal Emission and Reflection radiometer Global Emissivity Database (ASTER GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. The North America portion of this collection was formerly called the North American ASTER Land Surface Emissivity Database (NAALSED) - a seasonal dataset consisting of mean summer (J-A-S) and winter (J-F-M) products.\r\n\r\nASTER GED products are output on 1degree x 1 degree grids at 100-meter or 1-kilometer spatial resolution (nominal) and include the mean emissivity and standard deviation for all 5 ASTER thermal infrared bands, mean land surface temperature (LST) and standard deviation, a re-sampled ASTER GDEM (not included in the North America Winter products), land-water mask, mean Normalized Difference Vegetation Index (NDVI) and standard deviation, latitude, longitude, and observation count.\r\n\r\nAdditional ASTER GED product information is available at https://lpdaac.usgs.gov/products/community_products_table. Product tiles are available in HDF and binary format and may be downloaded via HTTP by visiting the following data clients: NASA Reverb (http://reverb.echo.nasa.gov), LP DAAC Data Pool (http://e4ftl01.cr.usgs.gov/ASTT/), or EarthExplorer (http://earthexplorer.usgs.gov). ", "acquisitionStart": "2000-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ASTER GED AG1KM", "collectionLongName": "ASTER Global Emissivity Dataset 1-kilometer V003 - AG1KM", "datasetId": "5e83ce5f361ebbc9", "datasetAlias": "aster_ged_ag1km", "datasetCategoryName": "ASTER Global Emissivity Datasets", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:12:31.673892-05", "doiNumber": "http://dx.doi.org/10.5067/Community/ASTER_GED/AG1KM.003", "ingestFrequency": "P1D", "keywords": "None,Normalized Difference Vegetation Index,ASTER,Imagery,Earth Observing System,U.S. Geological Survey (USGS) ,Image Map,Emissivity,TERRA,Land Processes Distributed Active Archive Center (LPDAAC),Land Surface Temperature,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 7622, "sceneCount": 25276, "spatialBounds": {"north": 84.01, "east": 180.01, "south": -59.01, "west": -180.01}, "temporalCoverage": "[\"2000-01-01 00:00:00-06\",\"2000-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 - 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product [MOD07](http://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODTRAN 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product MOD10CM] (http://nsidc.org/data/docs/daac/modis_v5/mod10cm_modis_terra_snow_monthly_global_0.05deg_cmg.gd.html), and vegetation information from the MODIS monthly gridded NDVI product [MOD13C2] (https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod13c2). ASTER GED Monthly V041 data products are offered in both Hierarchical Data Format 5 (.HDF5) formats.\r\n\r\nThe ASTER GED Monthly V041 files are scheduled to be delivered around the first quarter of the next Calendar year (January - March). For example, 2015 monthly files were made available during the first quarter of Calendar year 2016.\r\n\r\nThe National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.\r\n\r\nAdditional ASTER GED product information is available at https://lpdaac.usgs.gov/dataset_discovery/community/community_products_table. Product tiles are available in HDF5 formats and may be downloaded via HTTP by visiting the following data clients: NASA Reverb (http://reverb.echo.nasa.gov), LP DAAC Data Pool (http://e4ftl01.cr.usgs.gov/ASTT/), Earthdata Search Client (https://search.earthdata.nasa.gov/) or EarthExplorer (http://earthexplorer.usgs.gov).\r\n", "acquisitionStart": "2000-03-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "ASTER GED AG5KMMOH V41", "collectionLongName": "ASTER Global Emissivity Data Set Monthly 0.05 degree V041 - AG5KMMOH ", "datasetId": "5e83cf02d8939d89", "datasetAlias": "aster_ged_ag5kmmoh", "datasetCategoryName": "ASTER Global Emissivity Datasets", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:15:14.803052-05", "doiNumber": "https://doi.org/10.5067/community/aster_ged/ag5kmmoh.041", "ingestFrequency": "P1D", "keywords": "None,ASTER,TERRA,Land Processes Distributed Active Archive Center (LPDAAC),Land Surface Temperature,Earth Resources Observation and Science (EROS) Center,Normalized Difference Vegetation Index,Image Map,Emissivity,U.S. Geological Survey,Earth Observing System,Imagery,ISO 19115 Category,010,ImageryBaseMapsEarthCover", "legacyId": 11260, "sceneCount": 184, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-03-01 00:00:00-06\",\"2015-12-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Analysis Ready Data (ARD) Landsat Level-2 Tiles consist of surface reflectance (SR), surface temperature (ST), top of atmosphere (TA) reflectance, brightness temperature (BT), and quality assessment (QA)) data that are consistently processed using per pixel solar zenith angle corrections, gridded to a common cartographic projection, and accompanied by appropriate metadata to enable further processing while retaining traceability of data provenance. Subsequently, numerous products are derived from ARD that are used as direct inputs to monitoring and assessment activities, including maps of land cover and land cover change, spectral indices, temporal composites, and higher-level science products such as burned area, dynamic surface water extent, and fractional snow covered area.\r\nLandsat ARD are generated in the Albers Equal Area Conic (AEA) for conterminous U.S. and Hawaii map projection. Alaska is generated to Alaska Albers map projection. They are processed directly from Level-1 AEA scenes through Level-2 products using the World Geodetic System 1984 (WGS84) datum. The products cover the conterminous United States (CONUS), Alaska, and Hawaii.\r\n", "acquisitionStart": "2012-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "CCDC V1", "collectionLongName": "Continuous Change Detection Classification Products (U.S.)", "datasetId": "5ec7eb0d6cb74ee4", "datasetAlias": "ccdc_v1_0", "datasetCategoryName": "LCMAP", "dataOwner": "LSAA", "dateUpdated": "2020-05-22 10:09:01.412044-05", "doiNumber": "https://doi.org/10.5066/P9W1TO6E", "ingestFrequency": "P1D", "keywords": "Level-2 Albers Identifier,Earth Science,Visible Imagery,Imagery ,Earth Resources Observation and Science (EROS) Center,Remote Sensing,Satellite,U.S. Geological Survey (USGS),Climate Data Record,Visible Wavelengths,Surface Temperature,Radiance,Infrared Wavelengths,Infrared Imagery,Quality Assessment,Brightness Temperature,Top of Atmosphere Reflectance,Surface Reflectance,NGDA Portfolio Themes,Land Use Land Cover Theme,National Geospatial Data Asset,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 18020, "sceneCount": 13961, "spatialBounds": {"north": 50.6725404358, "east": -65.0538198853, "south": 23.2563440704, "west": -126.7244165039}, "temporalCoverage": "[\"1985-07-01 00:00:00-05\",\"2019-07-01 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Accurate, high-resolution elevation information is vital to understanding highly dynamic U.S. coastal regions. The new dataset consists of a detailed and highly accurate elevation model incorporating the best available multi-source topographic and bathymetric elevation data. The Coastal National Elevation Database (CoNED) Project - topobathymetric digital elevation models (TBDEMs) integrate hundreds of different data sources including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys, and multibeam surveys obtained from multiple agencies. The LiDAR and bathymetry surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation data. Because bathymetric data is typically referenced to tidal datums (such as Mean High Water or Mean Sea Level), all tidally-referenced heights were transformed into orthometric heights that are normally used for mapping elevation on land (based on the North American Vertical Datum of 1988).", "acquisitionStart": "1859-01-01", "acquisitionEnd": "1930-01-01", "catalogs": ["EE"], "collectionName": "CoNED TBDEM", "collectionLongName": "CoNED TBDEM - Coastal National Elevation Dataset - Topobathymetric Digital Elevation Model ", "datasetId": "5e83a0cc1db06c65", "datasetAlias": "topobathy", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:58:04.891745-05", "doiNumber": "https://doi.org/10.5066/F7Z60MHJ", "ingestFrequency": null, "keywords": "None,Coastal Zone,Digital Elevation Model (DEM),Bathymetric,Bathymetry,Acoustic Sonar,U.S. Geological Survey,Hydrologic Modeling,Hydrologic,3D Elevation Program,3DEP,3DEP-Coastal Zone,Topobathymetric,Topobathy,Light Detection and Ranging (LiDAR),Elevation", "legacyId": 9129, "sceneCount": 0, "spatialBounds": {"north": 42.780138388903, "east": -69.7995035570732, "south": 28.6891128536584, "west": -120.484625564532}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "On February 24, 1995, President Clinton signed an Executive Order, directing the declassification of intelligence imagery acquired by the first generation of United States photo-reconnaissance satellites, including the systems code-named CORONA, ARGON, and LANYARD. More than 860,000 images of Earth's surface, collected between 1960 and 1972, were declassified with the issuance of this Executive Order. The National Archives and Records Administration (NARA) was given the responsibility for the original film and provide access to a duplicate copy for public viewing of the film. The USGS was also provided a dupe copy to support science products. Both NARA and the USGS provide access and product support for Declass-1 collection.\r\n\r\nOnline requests for these data can be placed via the EarthExplorer interactive query system. EarthExplorer contains metadata and online samples of Earth science data. With EarthExplorer, you may review metadata, determine product availability, and place online requests for products.\r\n\r\nMore than 40 percent of the imagery contains significant cloud cover. The use of browse imagery gives the user the opportunity to review a reduced spatial resolution image to determine whether or not the area of interest is covered and is or is not obscured by clouds.\r\n", "acquisitionStart": "1960-07-31", "acquisitionEnd": "1972-05-31", "catalogs": ["EE", "CWIC"], "collectionName": "Declass 1 (1996)", "collectionLongName": "Declass 1 (1996) = Corona, Lanyard, & Argon Missions - KH1 thru KH6: 1960 - 1972.", "datasetId": "5e839febdccb64b3", "datasetAlias": "corona2", "datasetCategoryName": "Declassified Data", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:54:19.655031-05", "doiNumber": "https://doi.org/10.5066/F78P5XZM", "ingestFrequency": null, "keywords": "None,LANYARD,USGS,Satellite,EDC,EROS,Photographs,Cartographic Camera ,Photo-Reconnaissance,Earth Science > Radiance or Imagrey > Visible Wavelengths > Visible Imagery,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery,CORONA,Imagery,Photography,ARGON,Environmental,Panoramic Camera,Declassified", "legacyId": 1051, "sceneCount": 0, "spatialBounds": {"north": 87.1569999999996, "east": 180.000000000014, "south": -88.6989572593193, "west": -180.000000000014}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth's surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications.\r\n\r\nThe KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet.\r\n\r\nThe KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions.\r\n\r\nThe images have variable scales and quality. Cloud cover is common. The digital products are produced from a duplicate negative film source. More than 40 percent of the imagery contains significant cloud cover. The use of browse imagery gives the user the opportunity to review a reduced resolution image to determine if the area of interest is covered and to check for cloud cover. The original film sources are maintained by the (http://www.nara.gov) National Archives and Records Administration (NARA). ", "acquisitionStart": "1963-07-13", "acquisitionEnd": "1980-10-13", "catalogs": ["EE"], "collectionName": "Declass 2 (2002)", "collectionLongName": "Declass 2 (2002) = KH-7 and KH-9 Global Camera Photos: 1963 - 1980", "datasetId": "5e839ff7d71d4811", "datasetAlias": "declassii", "datasetCategoryName": "Declassified Data", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:54:32.027486-05", "doiNumber": "https://doi.org/10.5066/F74X5684", "ingestFrequency": null, "keywords": "GCMD Parameter Keywords,Earth Science > Radiance or Imagery > Infrared Wavelengths > Infrared Imagery,USGS,Photographs,Panoramic Camera,Cartographic Camera,Photography,Photo-Reconnaissance,EROS,Satellite,Declassified,Environmental,Imagery,Earth Science > Radiance or Imagery > Visible Wavelengths > Visible Imagery", "legacyId": 4583, "sceneCount": 0, "spatialBounds": {"north": 84.1889996727939, "east": 180.001, "south": -84.5509997952824, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Keyhole (KH) satellite systems- KH-9 acquired photographs of the Earth's surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range military applications.\r\n\r\nThe Keyhole (KH) satellite system KH-9 (Hexagon) operated between 1971 and 1984. The imagery generated are of historical interest and expected to support current scientific research on climate change and related fields of inquiry. Almost all of the imagery from this camera was declassified in 2012 as a continuation of Executive Order 12951, the same order that declassified CORONA. A subset of this declassified data was transferred to the U.S. Geological Survey's Earth Resources Observation and Science (EROS) Center. Please check the coverage map in EarthExplorer to verify the extent of coverage for the subset of images available from EROS. The Available images are primarily over the United States, Antarctica, and the Arctic Circle.\r\n\r\nThe KH-9 program was designed to support mapping requirement and exact positioning of geographical points for the military. The KH-9 panoramic cameras captured high resolution (2-4 feet) images and the terrain camera captured high resolution (2-4 feet) images and the terrain camera captured moderate resolution (20-30 feet) images. High resolution images were acquired on 6.5 inch wide variable length film. The moderate resolution terrain camera acquired images that were printed to 9 inch wide variable length film.\r\n\r\nThe digital products are produced from a duplicate positive film source. The use of browse imagery provides an opportunity to determine if the area of interest is covered and to check for cloud cover. The original film sources are maintained by the (http://www.archives.gov) National Archives and Records Administration (NARA).\r\n", "acquisitionStart": "1984-01-20", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Declass 3 (2013)", "collectionLongName": "Declass 3 (2013) = USGS Subset of Hexagon Missions - KH-9: 1971 - 1984", "datasetId": "5e7c41f3ffaaf662", "datasetAlias": "declassiii", "datasetCategoryName": "Declassified Data", "dataOwner": "DMID", "dateUpdated": "2020-03-26 00:47:31.793184-05", "doiNumber": "https://doi.org/10.5066/F7WD3Z10", "ingestFrequency": "P1D", "keywords": "None,Infrared Wavelengths,Visible Wavelengths,Infrared Imagery,Visible Imagery,Satellite,Photo-Reconnaissance,Photography,Panoramic Camera,Cartographic Camera,Photographs,U.S. Geological Survey (USGS),Environmental,Declassified,Earth Resources Observation and Science (EROS) Center,Imagery", "legacyId": 10201, "sceneCount": 264601, "spatialBounds": {"north": 85.0579905120176, "east": 185.762999570727, "south": -83.9989980385239, "west": -180.01}, "temporalCoverage": "[\"1971-06-16 00:00:00-05\",\"1984-10-08 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Digital line graph (DLG) data are digital representations of cartographic information. DLGs of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1:100,000 are used. Intermediate-scale DLGs are sold in five categories: (1) Public Land Survey System; (2) boundaries; (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG-Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.", "acquisitionStart": "1972-01-01", "acquisitionEnd": "1994-01-01", "catalogs": ["EE"], "collectionName": "DLG 1:100k", "collectionLongName": "DLG 1:100k - Digital Line Graph - 1:100,000 scale", "datasetId": "5e83cf10eef3e9d7", "datasetAlias": "dlg100k", "datasetCategoryName": "Digital Line Graphs", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:15:28.829575-05", "doiNumber": "https://doi.org/10.5066/F7RN369N", "ingestFrequency": null, "keywords": "GCMD Parameter Keywords,PLSS,EARTH SCIENCE --> HUMAN DIMENSIONS --> Boundaries --> Administrative Divisions,EARTH SCIENCE --> HUMAN DIMENSIONS --> Boundaries --> Political Divisions,EARTH SCIENCE --> HUMAN DIMENSIONS --> Boundaries --> Surveys,EARTH SCIENCE --> HYDROSPHERE --> Surface Water --> Drainage,EARTH SCIENCE --> LAND SURFACE --> Land Use/Land Cover --> Land Management,Cartography,Vector Data,USGS,U.S. Public Land Survey System,Transportation,Small Scale,EARTH SCIENCE --> HYDROSPHERE --> Surface Water --> Floods,Nonvegetative Features,Manmade Features,Large Scale,Intermediate Scale,Hypsography,GIS,Geodata,EROS,EDC,DLG,Digital Mapping,Digital Line Graph,Boundaries", "legacyId": 1494, "sceneCount": 0, "spatialBounds": {"north": 49.501, "east": -65.999, "south": 18.499, "west": -161.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Digital line graph (DLG) data are digital representations of cartographic information. DLGs of map features are converted to digital form from maps and related sources. Large-scale DLG data are derived from USGS 1: 20,000-, 1: 24,000-, and 1: 25,000-scale 7.5-minute topographic quadrangle maps and are available in nine categories:\n(1) hypsography, (2) hydrography, (3) vegetative surface cover, (4) non-vegetative features, (5) boundaries, (6) survey control and markers, (7) transportation, (8) manmade features, and (9) Public Land Survey System. All DLG data distributed by the USGS are DLG - Level 3 \n(DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.", "acquisitionStart": "1900-01-01", "acquisitionEnd": "2003-01-01", "catalogs": ["EE"], "collectionName": "DLG Large Scale", "collectionLongName": "DLG Large Scale - Digital Line Graph 7.5 minute", "datasetId": "5e83a0146a5398ee", "datasetAlias": "dlg_large", "datasetCategoryName": "Digital Line Graphs", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:55:00.83557-05", "doiNumber": "https://doi.org/10.5066/P9LVXWFR", "ingestFrequency": null, "keywords": "Survey Control and Markers,DLG,Hypsography,Boundaries,Hydrography,Digital Line Graph,Manmade Features,Non-Vegetative Features,Vegetative Surface Cover,U.S. Public Land Survey System,Transportation,PLSS,Large Scale", "legacyId": 1493, "sceneCount": 0, "spatialBounds": {"north": 71.501, "east": 163.126, "south": 5.249, "west": -168.501}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2001-06-07", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Dome C, Antarctica", "collectionLongName": "Calibration Validation Reference Sites - Dome C, Antarctic", "datasetId": "5e83db4dbb5c7db8", "datasetAlias": "calval_is_dome_c_ant", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:41.35762-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4488, "sceneCount": 826, "spatialBounds": {"north": -72.3162049689236, "east": 131.198489740605, "south": -76.2643776767206, "west": 114.796909999419}, "temporalCoverage": "[\"1972-12-06 22:57:49-06\",\"2020-03-14 23:26:36-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Dunhuang, China", "collectionLongName": "Calibration Validation Reference Sites - Dunhuang, China", "datasetId": "5e83db50ca8f626c", "datasetAlias": "calval_is_dunhuang_china", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:44.8032-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4489, "sceneCount": 2644, "spatialBounds": {"north": 41.4622461802579, "east": 96.5417851086594, "south": 38.99, "west": 91.9796001082155}, "temporalCoverage": "[\"1975-04-15 03:44:57-05\",\"2020-11-01 03:42:53-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission aims to measure the temperature of plants and use that information to better understand how much water plants need and how they respond to stress. ECOSTRESS is hosted on the International Space Station (ISS) and collects data over the Conterminous United States (CONUS), key biomes and agricultural zones around the world, and selected FLUXNET validation sites. Data are acquired by a thermal infrared (TIR) multispectral scanner with five spectral bands operating between 8 aand 12.5 microns. These data products are offered at a spatial resolution of 70 meters (m) and include: resampled radiance data, at-sensor calibrated radiance data, geolocation data and spacecraft attitude information.", "acquisitionStart": "2018-08-03", "acquisitionEnd": "2019-03-14", "catalogs": ["EE"], "collectionName": "ECO1BATT", "collectionLongName": "ECOSTRESS Attitude Daily L1B Global 70m V001", "datasetId": "5e83a070c78d844c", "datasetAlias": "ecostress_eco1batt", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:56:32.22129-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO1BATT.001", "ingestFrequency": null, "keywords": "Radiance,ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Geolocation,Resampled radiance,Land Processes Distributed Active Archive Center (LPDAAC),International Space Station (ISS),Vegetation,Thermal infrared (TIR),Attitude", "legacyId": 16443, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission aims to measure the temperature of plants and use that information to better understand how much water plants need and how they respond to stress. ECOSTRESS is hosted on the International Space Station (ISS) and collects data over the Conterminous United States (CONUS), key biomes and agricultural zones around the world, and selected FLUXNET validation sites. Data are acquired by a thermal infrared (TIR) multispectral scanner with five spectral bands operating between 8 aand 12.5 microns. These data products are offered at a spatial resolution of 70 meters (m) and include: resampled radiance data, at-sensor calibrated radiance data, geolocation data and spacecraft attitude information.", "acquisitionStart": "2018-09-05", "acquisitionEnd": "2018-09-16", "catalogs": ["EE"], "collectionName": "ECO1BGEO", "collectionLongName": "ECOSTRESS Geolocation Daily L1B Global 70m V001", "datasetId": "5e83a07994ca97ec", "datasetAlias": "ecostress_eco1bgeo", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:56:41.299556-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO1BGEO.001", "ingestFrequency": null, "keywords": "Radiance,Vegetation,ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Land Processes Distributed Active Archive Center (LPDAAC),Thermal infrared (TIR),Attitude,Geolocation,Resampled radiance,International Space Station (ISS)", "legacyId": 16440, "sceneCount": 0, "spatialBounds": {"north": 53.7736, "east": 179.9876, "south": -43.6757, "west": -136.2248}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission aims to measure the temperature of plants and use that information to better understand how much water plants need and how they respond to stress. ECOSTRESS is hosted on the International Space Station (ISS) and collects data over the Conterminous United States (CONUS), key biomes and agricultural zones around the world, and selected FLUXNET validation sites. Data are acquired by a thermal infrared (TIR) multispectral scanner with five spectral bands operating between 8 aand 12.5 microns. These data products are offered at a spatial resolution of 70 meters (m) and include: resampled radiance data, at-sensor calibrated radiance data, geolocation data and spacecraft attitude information.", "acquisitionStart": "2018-09-05", "acquisitionEnd": "2018-09-05", "catalogs": ["EE"], "collectionName": "ECO1BMAPRAD", "collectionLongName": "ECOSTRESS Resampled Radiance Daily L1B Global 70m V001", "datasetId": "5e83a0839da86d08", "datasetAlias": "ecostress_eco1bmaprad", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:56:51.443461-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO1BMAPRAD.001", "ingestFrequency": null, "keywords": "International Space Station (ISS),Vegetation,Thermal infrared (TIR),ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Attitude,Geolocation,Resampled radiance,Radiance,Land Processes Distributed Active Archive Center (LPDAAC)", "legacyId": 16441, "sceneCount": 0, "spatialBounds": {"north": 53.7736, "east": 179.9876, "south": -43.6757, "west": -136.2248}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission aims to measure the temperature of plants and use that information to better understand how much water plants need and how they respond to stress. ECOSTRESS is hosted on the International Space Station (ISS) and collects data over the Conterminous United States (CONUS), key biomes and agricultural zones around the world, and selected FLUXNET validation sites. Data are acquired by a thermal infrared (TIR) multispectral scanner with five spectral bands operating between 8 aand 12.5 microns. These data products are offered at a spatial resolution of 70 meters (m) and include: resampled radiance data, at-sensor calibrated radiance data, geolocation data and spacecraft attitude information.", "acquisitionStart": "2018-08-02", "acquisitionEnd": "2018-09-15", "catalogs": ["EE"], "collectionName": "ECO1BRAD", "collectionLongName": "ECOSTRESS At-sensor Calibrated Radiance Daily L1B Global 70m V001", "datasetId": "5e83a090432a77e", "datasetAlias": "ecostress_eco1brad", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:57:04.849185-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO1BRAD.001", "ingestFrequency": null, "keywords": "International Space Station (ISS),Vegetation,Thermal infrared (TIR),ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Attitude,Geolocation,Resampled radiance,Radiance,Land Processes Distributed Active Archive Center (LPDAAC)", "legacyId": 16442, "sceneCount": 0, "spatialBounds": {"north": 53.7736, "east": 179.9876, "south": -43.6757, "west": -136.2248}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\nThe ECO2CLD Version 1 data product provides a cloud mask that can be used to determine cloud cover for the ECO1BRAD, ECO2LSTE, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The ECOSTRESS Level 2 cloud product is derived using the five calibrated thermal bands in a multispectral cloud-conservative thresholding approach. The corresponding ECO1BGEO data product is required to georeference the ECO2CLD data product.\r\nThe ECO2CLD Version 1 data product contains a single cloud mask layer.\r\n", "acquisitionStart": "2018-09-20", "acquisitionEnd": "2018-09-27", "catalogs": ["EE"], "collectionName": "ECO2CLD", "collectionLongName": "ECOSTRESS Cloud Mask Daily L2 Global 70m V001", "datasetId": "5e83a09ebbc47f33", "datasetAlias": "ecostress_eco2cld", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:57:18.920002-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO2CLD.001", "ingestFrequency": null, "keywords": "Cloud Mask,Cloud Cover,Thermal infrared (TIR),Vegetation,Land Processes Distributed Active Archive Center (LPDAAC),ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),International Space Station (ISS)", "legacyId": 16860, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 179.9876, "south": -44.1827, "west": -136.3953}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\n\r\nThe ECO2LSTE Version 1 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO2LSTE data product was derived using a physics-based Temperature/Emissivity Separation (TES) algorithm. The ECO2LSTE is provided as swath data and has a spatial resolution of 70 meters (m). The corresponding ECO1BGEO data product is required to georeference the ECO2LSTE data product.\r\n\r\nThe ECO2LSTE Version 1 data product contains layers of LST, emissivity for bands 1 through 5, quality control for LST&E, LST error, emissivity error for bands 1 through 5, wideband emissivity, and Precipitable Water Vapor (PWV). For acquisitions after May 15, 2019, data products contain data values for TIR bands 2, 4 and 5 only. TIR bands 1 and 3 contain fill values to accommodate direct streaming of data from the ISS.\r\n", "acquisitionStart": "2018-09-20", "acquisitionEnd": "2019-07-07", "catalogs": ["EE"], "collectionName": "ECO2LSTE", "collectionLongName": "ECOSTRESS Land Surface Temperature and Emissivity Daily L2 Global 70m V001", "datasetId": "5e83a0a9ca85dfa3", "datasetAlias": "ecostress_eco2lste", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:57:29.416428-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO2LSTE.001", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),Thermal infrared (TIR),Vegetation,ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),International Space Station (ISS),Land Surface Temperature (LST),Land Surface Temperature and Emissivity (LST&E),Emissivity,Precipitable Water Vapor (PWV)", "legacyId": 16861, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 179.9876, "south": -44.1827, "west": -136.3953}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\n\r\nThe ECO3ANCQA Version 1 is a Level 3 (L3) product that provides Quality Assessment (QA) fields for all ancillary data used in L3 and Level 4 (L4) products generated by Jet Propulsion Laboratory (JPL). No quality flags are generated for the L3 or L4 products. Instead, the quality flags of the source data products are resampled by nearest neighbor onto the geolocation of the ECOSTRESS scene. A quality flag array for each input dataset, when available, is collected into the combined QA product.\r\n\r\nThe ECO3ANCQA Version 1 data product contains layers of quality flags for ECOSTRESS cloud mask, Landsat 8, land cover type, albedo, MODIS Terra aerosol, MODIS Terra Cloud 1 km, MODIS Terra Cloud 5 km, MODIS Terra atmospheric profile, vegetation indices, MODIS Terra gross primary productivity, and MODIS water mask.\r\n", "acquisitionStart": "2018-09-18", "acquisitionEnd": "2018-09-26", "catalogs": ["EE"], "collectionName": "ECO3ANCQA", "collectionLongName": "ECOSTRESS L3/L4 Ancillary Data Quality Assurance (QA) Flags L3 Global 70m V001", "datasetId": "5e83a0b5d9d56e1", "datasetAlias": "ecostress_eco3ancqa", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:57:41.809917-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO3ANCQA.001", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),International Space Station (ISS),Quality Assessment ,Quality Assurance ,Thermal infrared (TIR),Vegetation,ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Ancillary Data ", "legacyId": 16862, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 176.3267, "south": -53.8489, "west": -136.2248}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\n\r\nECO3ETPTJPL Version 1 is a Level 3 (L3) product that provides evapotranspiration (ET) generated from data acquired by the ECOSTRESS radiometer instrument according to the Priestly-Taylor Jet Propulsion Laboratory (PT-JPL) algorithm. The ET product is generated from the Level 2 data products for surface temperature and emissivity, the Level 1 geolocation information, and a significant number of ancillary data inputs from other sources. ET is set by various controls, including radiative and atmospheric demand, and environmental sensitivity, productivity, vegetation physiology, and phenology. PT-JPL is best utilized for natural ecosystems. The L3 ET product is used for creating the Level 4 products, Evaporative Stress Index (ESI) and Water Use Efficiency (WUE).\r\n\r\nThe ECO3ETPTJPL Version 1 data product contains layers of instantaneous ET, daily ET, canopy transpiration, soil evaporation, ET uncertainty, and interception evaporation.\r\n", "acquisitionStart": "2018-08-26", "acquisitionEnd": "2019-01-15", "catalogs": ["EE"], "collectionName": "ECO3ETPTJPL", "collectionLongName": "ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70m V001", "datasetId": "5e83a0d7d951a290", "datasetAlias": "ecostress_eco3etptjpl", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:58:15.789117-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO3ETPTJPL.001", "ingestFrequency": null, "keywords": "ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Land Processes Distributed Active Archive Center (LPDAAC),International Space Station (ISS),Evapotranspiration (ET),Jet Propulsion Laboratory (JPL),Priestly-Taylor (PT),Canopy transpiration,Thermal infrared (TIR),Vegetation,Interception evaporation,soil evaporation", "legacyId": 16863, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 157.0114, "south": -43.0774, "west": -133.6959}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\n\r\nThe ECO4ESIPTJPL Version 1 data product provides Evaporative Stress Index (ESI) data generated according to the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) algorithm. The ESI product is derived from the ratio of the Level 3 actual evapotranspiration (ET) to potential ET (PET) calculated as part of the algorithm. The ESI is an indicator of potential drought and plant water stress emphasizing areas of sub-optimal plant productivity.\r\n\r\nThe ECO4ESIPTJPL Version 1 data product contains layers of ESI and PET.\r\n", "acquisitionStart": "2018-08-14", "acquisitionEnd": "2019-01-15", "catalogs": ["EE"], "collectionName": "ECO4ESIPTJPL", "collectionLongName": "ECOSTRESS Evaporative Stress Index PT-JPL Daily L4 Global 70m V001", "datasetId": "5e83a0e184f0fe9d", "datasetAlias": "ecostress_eco4esiptjpl", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:58:25.412257-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO4ESIPTJPL.001", "ingestFrequency": null, "keywords": "Vegetation,Evapotranspiration (ET),ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Land Processes Distributed Active Archive Center (LPDAAC),International Space Station (ISS),Evaporative Stress Index (ESI),Jet Propulsion Laboratory (JPL) ,Priestly-Taylor (PT),Potential evapotranspiration (PET),Thermal infrared (TIR)", "legacyId": 16865, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 157.0114, "south": -43.0774, "west": -133.6959}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/).\r\n\r\nThe ECO4WUE Version 1 data product provides Water Use Efficiency (WUE) data generated according to the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) algorithm. WUE is the ratio of carbon stored by plants to water evaporated by plants. This ratio is given as grams of carbon stored per kilogram of water evaporated over the course of the day from sunrise to sunset on the day when the ECOSTRESS granule was acquired.\r\n\r\nThe ECO4WUE Version 1 data product contains a single layer of water use efficiency.\r\n", "acquisitionStart": "2018-08-14", "acquisitionEnd": "2019-01-15", "catalogs": ["EE"], "collectionName": "ECO4WUE", "collectionLongName": "ECOSTRESS Water Use Efficiency Daily L4 Global 70m V001", "datasetId": "5e83a0ed414de8aa", "datasetAlias": "ecostress_eco4wue", "datasetCategoryName": "ECOSTRESS", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 14:58:37.059828-05", "doiNumber": "https://doi.org/10.5067/ECOSTRESS/ECO4WUE.001", "ingestFrequency": null, "keywords": "Vegetation,Thermal infrared (TIR),Water Use Efficiency (WUE),ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS),Land Processes Distributed Active Archive Center (LPDAAC),International Space Station (ISS),Jet Propulsion Laboratory (JPL),Priestly-Taylor (PT)", "legacyId": 16864, "sceneCount": 0, "spatialBounds": {"north": 53.8408, "east": 157.0114, "south": -43.0774, "west": -133.6959}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Elevation Derivatives for National Applications (EDNA) is a seamless, nationwide, multi-layered three-dimensional (3D) hydrologic database derived from a version of the National Elevation Dataset. EDNA's 3D hydrologic layers are vertically consistent by their very nature, meaning that hydrologic drainage always flows from a higher elevation to a lower elevation and that reach catchment boundaries always follow the elevation drainage divide. This consistency allows for transfer of valuable information from digital elevation models onto EDNA-derived drainage lines and watersheds, including stream gradient, minimum and maximum elevation within a watershed, average watershed slope, and elevation. ", "acquisitionStart": "2000-01-01", "acquisitionEnd": "2000-01-01", "catalogs": ["EE"], "collectionName": "EDNA", "collectionLongName": "Elevation Derivatives for National Applications", "datasetId": "5e83cf1ddeb5aa23", "datasetAlias": "edna", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:15:41.339841-05", "doiNumber": "https://doi.org/10.5066/F7TD9VTQ", "ingestFrequency": null, "keywords": "None,Reach Catchments,Flow Accumulation High Values,Aspect,Synthetic Streamlines,Cataloging Units,Flow Accumulation,USGS Water Resources of the United States,Slope,Flow Direction,Shaded Relief,National Oceanic and Atmospheric Administration (NOAA),U.S. Geological Survey (USGS),National Weather Service,Sinks,Compound Topographic Index (CTI),Digital Elevation Model (DEM),Elevation Derivatives for National Applications (EDNA),Hydrologic Derivative,U.S. Environmental Protection Agency,National Severe Storms Laboratory,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 12205, "sceneCount": 0, "spatialBounds": {"north": 71.391981, "east": -65.3089700423797, "south": 17.9615916, "west": -173.123204}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Earth Observing-1(EO-1) satellite was launched on November 21, 2000 by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) as a one-year technology demonstration mission to evaluate the performance of advanced capabilities for future space missions. The EO-1 mission validated highly integrated multispectral data from the Advanced Land Imager (ALI) sensor and hyperspectral imaging data from the Hyperion sensor. After the initial technology mission was accomplished, NASA and the USGS agreed to continue the EO-1 program due to high interest in the specialized data from scientific communities. EO-1 Data products consist of imagery collected during the original one-year mission, as well as more recent Data Acquisition Requests (DARs) from the EO-1 Extended Mission. EO-1 scenes are processed to Level 1Gst (L1Gst) and images with adequate ground control points are processed to Level 1T (L1T). L1Gst and L1T products are provided in GeoTIFF format. Scenes that have been processed to L1T are also available as Full Resolution Browse and GIS Ready Bundle products in JPEG format. Level 1R (L1R) products in HDF format are only available for Hyperion data.", "acquisitionStart": "2001-05-01", "acquisitionEnd": "2016-06-05", "catalogs": ["EE", "CWIC", "GV"], "collectionName": "EO-1 ALI", "collectionLongName": "Earth Observing-1 Advanced Land Imager: 2001-Present", "datasetId": "5e839cb7c77529ab", "datasetAlias": "eo1_ali_pub", "datasetCategoryName": "EO-1", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:40:45.827561-05", "doiNumber": "https://doi.org/10.5066/F7QV3KG6", "ingestFrequency": null, "keywords": "None,NASA,Landsat,Imagery,Earth Observing-1 (EO-1),Landforms,Land Surface,Advanced Land Imager,U.S. Geological Survey (USGS) ,Radiance,Earth Science,Photography,Landsat Data Continuity Mission (LDCM)", "legacyId": 1852, "sceneCount": 0, "spatialBounds": {"north": 83.110907485198, "east": 180.001, "south": -83.9009998347517, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Earth Observing-1(EO-1) satellite was launched on November 21, 2000 by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) as a one-year technology demonstration mission to evaluate the performance of advanced capabilities for future space missions. The EO-1 mission validated highly integrated multispectral data from the Advanced Land Imager (ALI) sensor and hyperspectral imaging data from the Hyperion sensor. After the initial technology mission was accomplished, NASA and the USGS agreed to continue the EO-1 program due to high interest in the specialized data from scientific communities. EO-1 Data products consist of imagery collected during the original one-year mission, as well as more recent Data Acquisition Requests (DARs) from the EO-1 Extended Mission. EO-1 scenes are processed to Level 1Gst (L1Gst) and images with adequate ground control points are processed to Level 1T (L1T). L1Gst and L1T products are provided in GeoTIFF format. Scenes that have been processed to L1T are also available as Full Resolution Browse and GIS Ready Bundle products in JPEG format. Level 1R (L1R) products in HDF format are only available for Hyperion data.", "acquisitionStart": "2001-03-15", "acquisitionEnd": "2016-06-08", "catalogs": ["EE"], "collectionName": "EO-1 ALI Privileged", "collectionLongName": "Earth Observing One - Advanced Land Imager (2001 - present) Privileged", "datasetId": "5e83cf4cda236690", "datasetAlias": "eo1_ali_priv", "datasetCategoryName": "EO-1", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:16:33.939497-05", "doiNumber": "https://doi.org/10.5066/F7QV3KG6", "ingestFrequency": null, "keywords": "None,NASA,Landsat,Imagery,Earth Observing-1 (EO-1),Landforms,Land Surface,Advanced Land Imager,U.S. Geological Survey (USGS) ,Radiance,Earth Science,Photography,Landsat Data Continuity Mission (LDCM)", "legacyId": 4940, "sceneCount": 0, "spatialBounds": {"north": 89.201, "east": 180.001, "south": -83.9009998347517, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Earth Observing-1(EO-1) satellite was launched on November 21, 2000 by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) as a one-year technology demonstration mission to evaluate the performance of advanced capabilities for future space missions. The EO-1 mission validated highly integrated multispectral data from the Advanced Land Imager (ALI) sensor and hyperspectral imaging data from the Hyperion sensor. After the initial technology mission was accomplished, NASA and the USGS agreed to continue the EO-1 program due to high interest in the specialized data from scientific communities. \r\n\r\nEO-1 Data products consist of imagery collected during the original one-year mission, as well as more recent Data Acquisition Requests (DARs) from the EO-1 Extended Mission. EO-1 scenes are processed to Level 1Gst (L1Gst) and images with adequate ground control points are processed to Level 1T (L1T). L1Gst and L1T products are provided in GeoTIFF format. Scenes that have been processed to L1T are also available as Full Resolution Browse and GIS Ready Bundle products in JPEG format. Level 1R (L1R) products in HDF format are only available for Hyperion data.\r\n", "acquisitionStart": "2001-05-01", "acquisitionEnd": "2016-06-05", "catalogs": ["EE", "CWIC", "GV"], "collectionName": "EO-1 Hyperion", "collectionLongName": "Earth Observing-1 Hyperion: 2001-Present", "datasetId": "5e83a1255d5fa4fd", "datasetAlias": "eo1_hyp_pub", "datasetCategoryName": "EO-1", "dataOwner": "DMID", "dateUpdated": "2020-03-31 14:59:42.756235-05", "doiNumber": "https://doi.org/10.5066/P9JXHMO2", "ingestFrequency": null, "keywords": "None,Radiance,NASA,Imagery,Land Surface,Landforms,EO-1,Hyperspectual,USGS,Landsat,Photography,Earth Science,Hyperion", "legacyId": 1854, "sceneCount": 0, "spatialBounds": {"north": 83.1527216095114, "east": 180.001, "south": -83.601, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Frenchman Flat, USA", "collectionLongName": "Calibration Validation Reference Sites - Frenchman Flat, USA", "datasetId": "5e83db5318faa461", "datasetAlias": "calval_is_frenchman_flat", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:47.908758-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4490, "sceneCount": 2823, "spatialBounds": {"north": 38.5863336846681, "east": -114.528531115635, "south": 34.3720252713097, "west": -117.858065952968}, "temporalCoverage": "[\"1972-08-27 17:54:30-05\",\"2021-03-01 17:35:52-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Forest Cover Change (GFCC) product suite contains a global record representing forest change detection at 30 meter spatial resolution. This product suite includes Surface Reflectance, Tree Cover, Water Cover, and Forest Cover Change data. \r\n\r\nThe GFCC collection was derived from enhanced Landsat Global Land Survey (GLS) datasets for epochs centered on the years 1990, 2000, 2005, and 2010. Landsat data resolutions are intrinsic for land cover change detection due to the fine scale of changes particularly those resulting from anthropogenic factors. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.\r\n", "acquisitionStart": "2000-01-01", "acquisitionEnd": "2000-01-01", "catalogs": ["EE"], "collectionName": "GFCC30FCC", "collectionLongName": "Global Forest Cover Change Forest Cover Change Multi-Year Global 30m", "datasetId": "5e83a1ae4d56db7a", "datasetAlias": "gfcc_gfcc30fcc", "datasetCategoryName": "Global Forest Cover Change (GFCC)", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:01:50.851241-05", "doiNumber": "https://doi.org/10.5067/measures/gfcc/gfcc30fcc.001", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),National Aeronautics and Space Administration (NASA),Global Forest Cover Change (GFCC),Landsat Global Land Survey (GLS),Landsat-7 Enhanced Thematic Mapper Plus (ETM+),Landsat-5 Thematic Mapper (TM),Forest Cover Change,Water Cover,Tree Cover,Surface Reflectance", "legacyId": 14343, "sceneCount": 0, "spatialBounds": {"north": 82.0043999707135, "east": 180.001, "south": -63.4020999899983, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Forest Cover Change (GFCC) product suite contains a global record representing forest change detection at 30 meter spatial resolution. This product suite includes Surface Reflectance, Tree Cover, Water Cover, and Forest Cover Change data. \r\n\r\nThe GFCC collection was derived from enhanced Landsat Global Land Survey (GLS) datasets for epochs centered on the years 1990, 2000, 2005, and 2010. Landsat data resolutions are intrinsic for land cover change detection due to the fine scale of changes particularly those resulting from anthropogenic factors. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.\r\n", "acquisitionStart": "1984-05-07", "acquisitionEnd": "2011-07-15", "catalogs": ["EE"], "collectionName": "GFCC30SR", "collectionLongName": "Global Forest Cover Change Surface Reflectance Estimates Multi-Year Global 30m", "datasetId": "5e83cf896a714186", "datasetAlias": "gfcc_gfcc30sr", "datasetCategoryName": "Global Forest Cover Change (GFCC)", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:17:30.009312-05", "doiNumber": "https://doi.org/10.5067/measures/gfcc/gfcc30sr.001", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),National Aeronautics and Space Administration (NASA),Global Forest Cover Change (GFCC),Landsat Global Land Survey (GLS),Landsat-7 Enhanced Thematic Mapper Plus (ETM+),Landsat-5 Thematic Mapper (TM),Forest Cover Change,Water Cover,Tree Cover,Surface Reflectance", "legacyId": 14344, "sceneCount": 0, "spatialBounds": {"north": 82.7504999906099, "east": 180.001, "south": -58.344299959996, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Forest Cover Change (GFCC) product suite contains a global record representing forest change detection at 30 meter spatial resolution. This product suite includes Surface Reflectance, Tree Cover, Water Cover, and Forest Cover Change data. \r\n\r\nThe GFCC collection was derived from enhanced Landsat Global Land Survey (GLS) datasets for epochs centered on the years 1990, 2000, 2005, and 2010. Landsat data resolutions are intrinsic for land cover change detection due to the fine scale of changes particularly those resulting from anthropogenic factors. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.\r\n", "acquisitionStart": "2015-01-01", "acquisitionEnd": "2015-01-01", "catalogs": ["EE"], "collectionName": "GFCC30TC", "collectionLongName": "Global Forest Cover Change Tree Cover Multi-Year Global 30m", "datasetId": "5e83cf95a3e60e76", "datasetAlias": "gfcc_gfcc30tc", "datasetCategoryName": "Global Forest Cover Change (GFCC)", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:17:41.649511-05", "doiNumber": "https://doi.org/10.5067/measures/gfcc/gfcc30tc.003", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),National Aeronautics and Space Administration (NASA),Global Forest Cover Change (GFCC),Landsat Global Land Survey (GLS),Landsat-7 Enhanced Thematic Mapper Plus (ETM+),Landsat-5 Thematic Mapper (TM),Forest Cover Change,Water Cover,Tree Cover,Surface Reflectance", "legacyId": 14345, "sceneCount": 0, "spatialBounds": {"north": 82.7504999906099, "east": 180.001, "south": -79.6043998278817, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Forest Cover Change (GFCC) product suite contains a global record representing forest change detection at 30 meter spatial resolution. This product suite includes Surface Reflectance, Tree Cover, Water Cover, and Forest Cover Change data. \r\n\r\nThe GFCC collection was derived from enhanced Landsat Global Land Survey (GLS) datasets for epochs centered on the years 1990, 2000, 2005, and 2010. Landsat data resolutions are intrinsic for land cover change detection due to the fine scale of changes particularly those resulting from anthropogenic factors. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.\r\n", "acquisitionStart": "2001-11-24", "acquisitionEnd": "2003-01-14", "catalogs": ["EE"], "collectionName": "GFCC30WC", "collectionLongName": "Global Forest Cover Change Water Cover 2000 Global 30m Version 1", "datasetId": "5e83cfa98e1556c7", "datasetAlias": "gfcc_gfcc30wc", "datasetCategoryName": "Global Forest Cover Change (GFCC)", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:02.12292-05", "doiNumber": "https://doi.org/10.5067/measures/gfcc/gfcc30wc.001", "ingestFrequency": null, "keywords": "Land Processes Distributed Active Archive Center (LPDAAC),National Aeronautics and Space Administration (NASA),Global Forest Cover Change (GFCC),Landsat Global Land Survey (GLS),Landsat-7 Enhanced Thematic Mapper Plus (ETM+),Landsat-5 Thematic Mapper (TM),Forest Cover Change,Water Cover,Tree Cover,Surface Reflectance", "legacyId": 14346, "sceneCount": 0, "spatialBounds": {"north": 82.0043999707135, "east": 180.001, "south": -56.9766999857504, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Mask Global 1 kilometer (km) and Crop Dominance datasets were created using multiple input data including: remote sensing such as Landsat, Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation and Moderate Resolution Imaging Spectrometer (MODIS); secondary elevation data; climate 50-year precipitation and 20-year temperature data; reference sub-meter to 5-meter resolution ground data and country statistics data. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.", "acquisitionStart": "2007-01-01", "acquisitionEnd": "2007-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD1KCD", "collectionLongName": "Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km ", "datasetId": "5e83a1c32a7450c7", "datasetAlias": "gfsad_gfsad1kcd", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:02:11.898833-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD1KCD.001", "ingestFrequency": null, "keywords": "Crop Mask,Crop Dominance,Vegetation,Data,Remote Sensing ,Moderate Resolution Imaging Spectrometer (MODIS),Satellite Probatoire d'Observation de la Terre (SPOT),Landsat,Land,Advanced Very High Resolution Radiometer (AVHRR),Global Food Security Support Analysis Data (GFSAD) ", "legacyId": 13481, "sceneCount": 0, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Mask Global 1 kilometer (km) and Crop Dominance datasets were created using multiple input data including: remote sensing such as Landsat, Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation and Moderate Resolution Imaging Spectrometer (MODIS); secondary elevation data; climate 50-year precipitation and 20-year temperature data; reference sub-meter to 5-meter resolution ground data and country statistics data. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.", "acquisitionStart": "2007-01-01", "acquisitionEnd": "2007-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD1KCM", "collectionLongName": "Global Food Security Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km\n", "datasetId": "5e83cfb28c53c798", "datasetAlias": "gfsad_gfsad1kcm", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:10.838261-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD1KCM.001", "ingestFrequency": null, "keywords": "Cropland,Satellite Probatoire d'Observation de la Terre (SPOT),Crop Dominance,Crop Mask,Vegetation,Data,Remote Sensing ,Land,Landsat,Moderate Resolution Imaging Spectrometer (MODIS), MODIS ,Global Food Security Support Analysis Data (GFSAD) ", "legacyId": 13482, "sceneCount": 0, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degrees by 10 degrees area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30AFCE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Africa 30 m V001", "datasetId": "5e83cfbd183adf41", "datasetAlias": "gfsad_gfsad30afce", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:21.834753-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30AFCE.001", "ingestFrequency": null, "keywords": "Landscape Patterns,Agriculture,Land Cover,Global Food Security Support Analysis Data (GFSAD) ,Crop Extent,Crop/Plant Yields,Landsat 8 Operational Land Imager (OLI),Land Use Classes,Shuttle Radar Topography Mission (SRTM),Landsat 5 Thematic Mapper (TM),Landsat 7 Enhanced Thematic Mapper Plus (ETM+)", "legacyId": 15520, "sceneCount": 0, "spatialBounds": {"north": 40.1096, "east": 70.0022, "south": -50.1095, "west": -30.0022}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30AUNZCNMOCE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand, China, Mongolia 30 m V001", "datasetId": "5e83cfc8ee4e3b8b", "datasetAlias": "gfsad_gfsad30aunzcnmoce", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:32.63474-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30AUNZCNMOCE.001", "ingestFrequency": null, "keywords": "Landsat 5 Thematic Mapper (TM),Agriculture,Land Cover,Landscape Patterns,Land Use Classes ,Global Food Security Support Analysis Data (GFSAD) ,Crop/Plant Yields,Crop Extent,Shuttle Radar Topography Mission (SRTM),Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Landsat 8 Operational Land Imager (OLI)", "legacyId": 15600, "sceneCount": 0, "spatialBounds": {"north": 60.0964, "east": 178.9443, "south": -60.0964, "west": 69.997}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30EUCEARUMECE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Europe, Central Asia, Russia, Middle East 30 m V001", "datasetId": "5e83cfd4d50473cd", "datasetAlias": "gfsad_gfsad30eucearumece", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:44.134397-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30EUCEARUMECE.001", "ingestFrequency": null, "keywords": "Global Food Security Support Analysis Data (GFSAD) ,Remote Sensing ,Moderate Resolution Imaging Spectrometer (MODIS),Data,Vegetation,Land,Advanced Very High Resolution Radiometer (AVHRR),Crop Mask,Crop Dominance,Landsat,Satellite Probatoire d'Observation de la Terre (SPOT)", "legacyId": 15601, "sceneCount": 0, "spatialBounds": {"north": 90.0003, "east": 179.9681, "south": 9.9981, "west": -179.7814}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2008-01-01", "acquisitionEnd": "2008-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30NACE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2010 North America 30 m V001", "datasetId": "5e83cfe16fd81e3c", "datasetAlias": "gfsad_gfsad30nace", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:18:57.513384-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30NACE.001", "ingestFrequency": null, "keywords": "Landsat 5 Thematic Mapper (TM),Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Landsat 8 Operational Land Imager (OLI),Agriculture,Global Food Security Support Analysis Data (GFSAD) ,Shuttle Radar Topography Mission (SRTM),Land Use Classes ,Landscape Patterns,Crop/Plant Yields,Land Cover,Crop Extent", "legacyId": 15521, "sceneCount": 0, "spatialBounds": {"north": 90.0003, "east": 1.9298, "south": -0.0021, "west": -179.7814}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degrees by 10 degrees area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30SAAFGIRCE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South Asia, Afghanistan, Iran 30 m V001", "datasetId": "5e83cfecf07b9487", "datasetAlias": "gfsad_gfsad30saafgirce", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:19:08.462261-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30SAAFGIRCE.001", "ingestFrequency": null, "keywords": "Landsat 5 Thematic Mapper (TM),Global Food Security Support Analysis Data (GFSAD) ,Crop/Plant Yields,Land Use Classes ,Shuttle Radar Topography Mission (SRTM),Landsat 8 Operational Land Imager (OLI),Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Landscape Patterns,Agriculture,Land Cover,Crop Extent", "legacyId": 15602, "sceneCount": 0, "spatialBounds": {"north": 40.1096, "east": 100.0021, "south": -10.0394, "west": 39.9977}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30SACE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South America 30 m V001", "datasetId": "5e83cffc1d1a2c9b", "datasetAlias": "gfsad_gfsad30sace", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:19:24.825971-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30SACE.001", "ingestFrequency": null, "keywords": "Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Land Cover,Global Food Security Support Analysis Data (GFSAD) ,Land Use Classes ,Shuttle Radar Topography Mission (SRTM),Landsat 5 Thematic Mapper (TM),Agriculture,Landsat 8 Operational Land Imager (OLI),Landscape Patterns,Crop/Plant Yields,Crop Extent", "legacyId": 15522, "sceneCount": 0, "spatialBounds": {"north": 20.0724, "east": -19.9979, "south": -60.0964, "west": -110.0022}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2013-01-01", "acquisitionEnd": "2013-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30SEACE", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Southeast and Northeast Asia 30 m V001", "datasetId": "5e83d0064bf767e8", "datasetAlias": "gfsad_gfsad30seace", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:19:34.711315-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30SEACE.001", "ingestFrequency": null, "keywords": "Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Land Cover,Global Food Security Support Analysis Data (GFSAD) ,Land Use Classes ,Shuttle Radar Topography Mission (SRTM),Landsat 5 Thematic Mapper (TM),Agriculture,Landsat 8 Operational Land Imager (OLI),Landscape Patterns,Crop/Plant Yields,Crop Extent", "legacyId": 15523, "sceneCount": 0, "spatialBounds": {"north": 50.1095, "east": 180.0005, "south": -30.0968, "west": -180.0005}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 5 Thematic Mapper (TM) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/.", "acquisitionStart": "2008-01-01", "acquisitionEnd": "2008-01-01", "catalogs": ["EE"], "collectionName": "GFSAD GFSAD30VAL", "collectionLongName": "Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Validation 30 m V001", "datasetId": "5e83d0155b8d83d5", "datasetAlias": "gfsad_gfsad30val", "datasetCategoryName": "GFSAD Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:19:49.402401-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30VAL.001", "ingestFrequency": null, "keywords": "Land Use Classes ,Agriculture,Land Cover,Shuttle Radar Topography Mission (SRTM),Landsat 5 Thematic Mapper (TM),Global Food Security Support Analysis Data (GFSAD) ,Landsat 7 Enhanced Thematic Mapper Plus (ETM+),Landsat 8 Operational Land Imager (OLI),Landscape Patterns,Crop/Plant Yields,Crop Extent", "legacyId": 15603, "sceneCount": 0, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) has a long history of involvement in multi-scale, and multi-temporal land cover characterization and mapping of the world. During the 1970's, the Anderson System for land use and land cover classification system was developed and the conterminous United States (US) was mapped using aerial photographs. During 1980's, 75% of state of Alaska was mapped using Landsat satellite data. During the 1990's, (i) land cover characteristics database concept was demonstrated, (ii) Multi-Resolution Land Characteristics (MRLC) consortium was formed with Environmental Protection Agency (EPA), National Oceanic and Atmospheric Administration (NOAA), and US Forest Service (USFS), (iii) Global Land Cover Characteristics database was completed, and (iv) land cover and vegetation databases of the U.S. using Landsat TM data were completed. During 2000-2002, a forest canopy density map was produced as a part of Forest Resources Assessment 2000 for the Food and Agriculture Organization of the United Nations (FAO), and MRLC-2001 dataset was released. In 2003, land cover mapping of North America was carried out as a contribution to the Global Land Cover 2000 project being implemented by the Joint Research Center (JRC) of European Commission (EC).\r\n\r\n", "acquisitionStart": "1992-04-01", "acquisitionEnd": "1992-04-01", "catalogs": ["EE"], "collectionName": "GLCC", "collectionLongName": "Global Land Cover Characterization: 1992-1993", "datasetId": "5e83a1d8eecc8bb5", "datasetAlias": "glcc", "datasetCategoryName": "Land Cover", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:02:32.285094-05", "doiNumber": "https://doi.org/10.5066/F7GB230D", "ingestFrequency": null, "keywords": "Land", "legacyId": 5320, "sceneCount": 0, "spatialBounds": {"north": 90.001, "east": 180.001, "south": -90.001, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The USGS and the NGA have collaborated on the development of a notably enhanced global elevation model named the GMTED2010 that replaces GTOPO30 as the elevation dataset of choice for global and continental scale applications. The new model has been generated at three separate resolutions (horizontal post spacing) of 30 arc-seconds (about 1 kilometer), 15 arc-seconds (about 500 meters), and 7.5 arc-seconds (about 250 meters). This new product suite provides global coverage of all land areas from latitude 84 degrees N to 56 degrees S for most products, and coverage from 84 degrees N to 90 degrees S for several products. Some areas, namely Greenland and Antarctica, do not have data available at the 15- and 7.5-arc-second resolutions because the input source data do not support that level of detail. An additional advantage of the new multi-resolution global model over GTOPO30 is that seven new raster elevation products are available at each resolution. The new elevation products have been produced using the following aggregation methods: minimum elevation, maximum elevation, mean elevation, median elevation, standard deviation of elevation, systematic subsample, and breakline emphasis. The systematic subsample product is defined using a nearest neighbor resampling function, whereby an actual elevation value is extracted from the input source at the center of a processing window. Most vertical heights in GMTED2010 are referenced to the Earth Gravitational Model 1996 (EGM 96) geoid (NGA, 2010). In addition to the elevation products, detailed spatially referenced metadata containing attribute fields such as coordinates, projection information, and raw source elevation statistics have been generated on a tile-by-tile basis for all the input datasets that constitute the global elevation model. GMTED2010 is based on data derived from 11 raster-based elevation sources.", "acquisitionStart": "2010-11-11", "acquisitionEnd": "2010-11-11", "catalogs": ["EE"], "collectionName": "GMTED2010", "collectionLongName": "GMTED2010 - Global Multi-Resolution Terrain Elevation Data: Released 2010", "datasetId": "5e83a1f36d8572da", "datasetAlias": "gmted2010", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:02:59.461766-05", "doiNumber": "https://doi.org/10.5066/F7J38R2N", "ingestFrequency": null, "keywords": "None,DEM,SRTM,Image Map,Digital Elevation Model,Imagery,USGS,U.S. Geological Survey,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 4584, "sceneCount": 0, "spatialBounds": {"north": 90.001, "east": 180.001, "south": -90.001, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The National Oceanic and Atmospheric Administration (NOAA) operates a system of Geostationary Operational Environmental Satellites (GOES) to provide continuous weather imagery and monitoring of meteorological and space environment data to protect life and property across the United States. Two GOES satellites remain operational at all times providing coverage for the eastern United States and most of the Atlantic Ocean and the western United States and Pacific Ocean basin. An on-orbit spare satellite is maintained to permit rapid recovery from a failure of either of the operational satellites. GOES satellites provide critical atmospheric, oceanic, climatic and solar and space weather products supporting weather forecasting and warnings, climatologic analysis and prediction, ecosystems management, and safe and efficient commercial and private air and marine transportation. The GOES satellites also provide a platform for solar and space environmental observations. Auxiliary communications services are provided for GOES data rebroadcast, data collection platform relay, low resolution imagery, emergency weather communications, and satellite aided search and rescue. GOES supports all of the Mission Goals and links to the National Environmental Satellite, Data, and Information Service (NESDIS) Concept of Operations (CONOPS). (CCR1558)", "acquisitionStart": "2020-03-31", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "GOES-ABI", "collectionLongName": "Geostationary Operational Environmental Satellites - ABI", "datasetId": "5e83d85ce7195b99", "datasetAlias": "lpcs_goes_abi", "datasetCategoryName": "ABI", "dataOwner": "DMID", "dateUpdated": "2021-02-26 15:06:29.654825-06", "doiNumber": "https://www.goes-r.gov/", "ingestFrequency": "P1D", "keywords": "None,Cooperative Institute for Meteorological Satellite Studies (CIMSS),Advanced Baseline Imager (ABI),Geostationary Operational Environmental Satellite (GOES),DERIV", "legacyId": 9805, "sceneCount": 8616589, "spatialBounds": {"north": 81.3382, "east": 6.3095, "south": -81.3382, "west": -156.3095}, "temporalCoverage": "[\"2020-10-06 10:13:56.40658-05\",\"2021-03-08 01:02:31.614604-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "GTOPO30 is a global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). GTOPO30 was derived from several raster and vector sources of topographic information. For easier distribution, GTOPO30 has been divided into tiles which can be selected from the map shown above. Detailed information on the characteristics of GTOPO30 including the data distribution format, the data sources, production methods, accuracy, and hints for users, is found in the GTOPO30 README file.\r\n\r\n\r\n", "acquisitionStart": "1996-12-01", "acquisitionEnd": "1996-12-01", "catalogs": ["EE", "CWIC"], "collectionName": "GTOPO30", "collectionLongName": "Global Topographic 30 Arc-Second Digital Elevation Model: Released 1996", "datasetId": "5e83a205d69371bb", "datasetAlias": "gtopo30", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:03:17.797342-05", "doiNumber": "https://doi.org/10.5066/F7DF6PQS", "ingestFrequency": null, "keywords": "None,Land Surface,Elevatoion,Shuttle Radar Topography Mission (SRTM),Imagery,Digital Elevation Model (DEM),U.S. Geological Survey (USGS),Image Map,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 4980, "sceneCount": 0, "spatialBounds": {"north": 90.001, "east": 180.001, "south": -90.001, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The HYDRO1k data sets are the result of the cooperative project at the U.S. Geological Survey's (U.S.G.S.) EROS Center. The goal of the project is the development of a globally consistent hydrologic derivative data set. The effort has been led by U.S.G.S. scientists in collaboration with the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID) located in Sioux Falls, South Dakota.\r\n\r\nDevelopment of the HYDRO1k database was made possible by the completion of the 30 arc-second digital elevation model at EROS in 1996, entitled GTOPO30. This data set, with its nominal cell size of 1 km, has been and will continue to be applied by many scientists and researchers to hydrologic and land form studies. Inevitably, these studies require development, at a minimum, of a standard suite of derivative products.\r\nThe HYDRO1k package provides, for each continent, a suite of six raster and two vector data sets. These data sets cover many of the common derivative products used in hydrologic analysis. The raster data sets are the hydrologically correct DEM, derived flow directions, flow accumulations, slope, aspect, and a compound topographic (wetness) index. The derived streamlines and basins are distributed as vector data sets.\r\n", "acquisitionStart": "2000-06-12", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "GTOPO30 HYDRO 1K", "collectionLongName": "GTOPO30 HYDRO 1K - Global Topographic 30 Arc-Second Hydrologic Digital Elevation Model 1 km: Released 1996", "datasetId": "5e83a217504a3beb", "datasetAlias": "gtopo30_hydro_1k", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:03:35.177449-05", "doiNumber": "https://doi.org/10.5066/F77P8WN0", "ingestFrequency": "P1D", "keywords": "None,digital elevation model,hydrologic,vector,raster,image map,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 5240, "sceneCount": 6, "spatialBounds": {"north": 54.2099997321497, "east": 180.01, "south": -54.2888497761049, "west": -180.01}, "temporalCoverage": "[\"2000-06-12 00:00:00-05\",\"2000-06-12 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "NASA's Heat Capacity Mapping Mission (HCMM) project collected Earth data in the visible and thermal bands between April 1978 and September 1980. This was an experimental satellite program which observed day and night thermal conditions of Earth's surface. The black and white scenes cover large areas (approximately 500,000 square km at a resolution of 500 meters for the visible channel and 600 meters for the thermal channel. The scale of the imagery is 1:400,000. Areas covered include parts of the United States, western Canada, Western Europe, northern Africa, and eastern Australia\r\nThe HCMR transmitted analog data in real time to selected receiving stations. The radiometer was similar to the surface composition mapping radiometer (SCMR) of Nimbus 5 (72-097A). The HCMR had a small instantaneous geometric field of view of 0.83 mrad, high radiometric accuracy, and a wide 716-km swath coverage on the ground so that selected areas were covered within the 12-h period corresponding to the maximum and minimum of temperature observed. The spacecraft was spin stabilized at a rate of 14 rpm. The HCMM circular sun-synchronous orbit allowed the spacecraft to sense surface temperatures near the maximum and minimum of the diurnal cycle.\r\n ", "acquisitionStart": "1970-05-20", "acquisitionEnd": "1980-09-07", "catalogs": ["EE"], "collectionName": "HCMM", "collectionLongName": "Heat Capacity Mapping Mission: 1978-1980", "datasetId": "5e83a225fcc7a3ef", "datasetAlias": "hcmm", "datasetCategoryName": "HCMM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:03:49.77875-05", "doiNumber": "https://doi.org/10.5066/P906HJ0V", "ingestFrequency": null, "keywords": "None,Earth Science,Infrared Wavelength,Visible Wavelength,Imagery,Image Map,USGS,U.S. Geological Survey,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 4000, "sceneCount": 0, "spatialBounds": {"north": 85.4843, "east": 180.001, "south": -58.951, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "NASA's Heat Capacity Mapping Mission (HCMM) project collected Earth data in the visible and thermal bands between April 1978 and September 1980. This was an experimental satellite program which observed day and night thermal conditions of Earth's surface. The black and white scenes cover large areas (approximately 500,000 square km at a resolution of 500 meters for the visible channel and 600 meters for the thermal channel. The scale of the imagery is 1:400,000. Areas covered include parts of the United States, western Canada, western Europe, northern Africa, and eastern Australia. \r\n\r\nThe HCMM Digital Source dataset includes approximately 2400 scenes of recovered digital data with a resolution of 100 dpi. The original scenes are 715 km wide and vary in length from 715 to 3,000 km. The file size is 3-13 MB depending on the length of the scene and is stored in a TIFF format.\r\n\r\nThe HCMR transmitted analog data in real time to selected receiving stations. The radiometer was similar to the surface composition mapping radiometer (SCMR) of Nimbus 5 (72-097A). The HCMR had a small instantaneous geometric field of view of 0.83 mrad, high radiometric accuracy, and a wide 716-km swath coverage on the ground so that selected areas were covered within the 12-h period corresponding to the maximum and minimum of temperature observed. The spacecraft was spin stabilized at a rate of 14 rpm. The HCMM circular sun-synchronous orbit allowed the spacecraft to sense surface temperatures near the maximum and minimum of the diurnal cycle. \n", "acquisitionStart": "1978-05-11", "acquisitionEnd": "1980-09-05", "catalogs": ["EE"], "collectionName": "HCMM Digital Source", "collectionLongName": "Heat Capacity Mapping Mission Digital Source: 1978-1980", "datasetId": "5e83a28e99b3cd5d", "datasetAlias": "hcmm_original", "datasetCategoryName": "HCMM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:05:34.873095-05", "doiNumber": "https://doi.org/10.5066/P906HJ0V", "ingestFrequency": null, "keywords": "None,Visible Wavelength,Earth Science,Infrared Wavelength,U.S. Geological Survey,USGS,Image Map,Imagery,ISO 19115 Category,imageryBaseMapsEarthCover,010", "legacyId": 4160, "sceneCount": 0, "spatialBounds": {"north": 79.209244, "east": 179.590998, "south": -56.695827, "west": -182.755443}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) National Geospatial Program (NGP) developed the Alaska Mapping Initiative (AMI) to collaborate with the State and other Federal partners to acquire 3-dimensional elevation data to improve statewide topographic maps for Alaska. AMI coordinates Federal activities through the Alaska Mapping Executive Committee (AMEC) and State efforts through Alaska's Statewide Digital Mapping Initiative (SDMI) to ensure a unified approach for consistent data acquisition and enhancement of elevation data products. AMI attained interferometric synthetic aperture radar (IFSAR) to generate digital elevation model (DEM) data. This radar mapping technology is an effective tool for collecting data in challenging circumstances such as cloud cover, extreme weather conditions, rugged terrain, and remote locations. Airborne IFSAR data were flown over South Central Alaska in the summer of 2010 and over Northwest Alaska in 2012.", "acquisitionStart": "2010-06-10", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "IFSAR Alaska", "collectionLongName": "Interferometric Synthetic Aperture Radar Alaska Digital Elevation Models: 2010 -2012", "datasetId": "5e83a2496762b12e", "datasetAlias": "ifsar", "datasetCategoryName": "Digital Elevation", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:04:26.04485-05", "doiNumber": "https://doi.org/10.5066/P9C064CO", "ingestFrequency": "P1D", "keywords": "None,U.S. Geological Survey (USGS),IFSAR,Digital Surface Model (DSM),Digital Terrain Model (DTM),Interferometric Synthetic Aperture Radar ,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 7360, "sceneCount": 1538, "spatialBounds": {"north": 71.0209612767238, "east": -134.851265741396, "south": 57.9522850506767, "west": -168.395119828404}, "temporalCoverage": "[\"2010-06-10 00:00:00-05\",\"2012-08-23 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The U.S. Geological Survey (USGS) National Geospatial Program (NGP) developed the Alaska Mapping Initiative (AMI) to collaborate with the State and other Federal partners to acquire 3-dimensional elevation data to improve statewide topographic maps for Alaska. AMI coordinates Federal activities through the Alaska Mapping Executive Committee (AMEC) and State efforts through Alaska's Statewide Digital Mapping Initiative (SDMI) to ensure a unified approach for consistent data acquisition and enhancement of elevation data products. AMI attained interferometric synthetic aperture radar (IFSAR) to generate digital elevation model (DEM) data. This radar mapping technology is an effective tool for collecting data in challenging circumstances such as cloud cover, extreme weather conditions, rugged terrain, and remote locations. Airborne IFSAR data were flown over South Central Alaska in the summer of 2010 and over Northwest Alaska in 2012.", "acquisitionStart": "2010-06-10", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "IFSAR ORI Alaska", "collectionLongName": "Interferometric Synthetic Aperture Radar Orthorectified Radar Image Alaska: 2010-2012", "datasetId": "5e83a25622578d8f", "datasetAlias": "ifsar_ori", "datasetCategoryName": "Radar", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:04:38.756444-05", "doiNumber": "https://doi.org/10.5066/F7CJ8CSF", "ingestFrequency": "P1D", "keywords": "None,Orthorectified Radar Image (ORI),U.S. Geological Survey (USGS),Digital Elevation Model (DEM),Interferometric Synthetic Aperture Radar (IFSAR) ,Grayscale Image,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8523, "sceneCount": 1538, "spatialBounds": {"north": 71.0209814781281, "east": -134.851266541643, "south": 57.9522850512445, "west": -168.395185828455}, "temporalCoverage": "[\"2010-06-10 00:00:00-05\",\"2012-08-23 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Indian Remote Sensing (IRS), Resourcesat 1 and Resourcesat 2 are operated by the Indian Space Research Organisation (ISRO). The USGS in partnership with the ISRO, maintains an imagery collection of United States coverage that is processed by the ISRO processing system located in the Long Term Archive (LTA) at the USGS Earth Resources Observation & Science (EROS) Center. There are two sensors on board the IRS satellites that are processed at the EROS center. The Advanced Wide Field Sensor (AWiFS) and the Linear Imaging Self Scanner-3 (LISS-3) are processed to a Level-1 systematic corrected dataset and a Level-1 Precision Terrain corrected product when sufficient control exists. The imagery is archived at the EROS Center. A collection of historical Resourcesat 1 also known as IRS-P6 is part of the collection. Resourcesat 2 data includes some historical data as well as forward processing over the United States.", "acquisitionStart": "2016-12-10", "acquisitionEnd": null, "catalogs": ["EE", "GV"], "collectionName": "IRS AWiFS", "collectionLongName": "ISRO Resourcesat R1/R2 AWiFS Level 1 Systematic Orthorectified ", "datasetId": "5e83a26ae0efac9d", "datasetAlias": "irs_awifs", "datasetCategoryName": "ISRO Resourcesat", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:04:58.443132-05", "doiNumber": "https://doi.org/10.5066/P99UVM76", "ingestFrequency": "P1D", "keywords": "None,Satellite,Full Resolution Browse,Near Infrared,Short Wave Infrared (SWIR),Reflectance,U.S. Geological Survey (USGS),Spectral Bands,Imagery,Indian Remote-Sensing Satellite (IRS),Level-1T,Visible,Remote Sensing,Level-1G,Indian Space Research Organisation (ISRO)", "legacyId": 13081, "sceneCount": 49026, "spatialBounds": {"north": 81.2350704874994, "east": 179.46274138876, "south": -82.6739366398937, "west": -179.537550180549}, "temporalCoverage": "[\"2009-04-22 00:00:00-05\",\"2021-03-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Indian Remote Sensing (IRS), Resourcesat 1 and Resourcesat 2 are operated by the Indian Space Research Organisation (ISRO). The USGS in partnership with the ISRO, maintains an imagery collection of United States coverage that is processed by the ISRO processing system located in the Long Term Archive (LTA) at the USGS Earth Resources Observation & Science (EROS) Center. There are two sensors on board the IRS satellites that are processed at the EROS center. The Advanced Wide Field Sensor (AWiFS) and the Linear Imaging Self Scanner-3 (LISS-3) are processed to a Level-1 systematic corrected dataset and a Level-1 Precision Terrain corrected product when sufficient control exists. The imagery is archived at the EROS Center. A collection of historical Resourcesat 1 also known as IRS-P6 is part of the collection. Resourcesat 2 data includes some historical data as well as forward processing over the United States.", "acquisitionStart": "2016-12-10", "acquisitionEnd": null, "catalogs": ["EE", "GV"], "collectionName": "IRS LISS-3", "collectionLongName": "ISRO Resourcesat R1/R2 LISS-3 Level 1 Systematic Orthorectified", "datasetId": "5e83d04caeddc451", "datasetAlias": "irs_liss3", "datasetCategoryName": "ISRO Resourcesat", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:20:44.57453-05", "doiNumber": "https://doi.org/10.5066/P92UP97V", "ingestFrequency": "P1D", "keywords": "None,Satellite,Full Resolution Browse,Near Infrared,Short Wave Infrared (SWIR),Reflectance,U.S. Geological Survey (USGS),Spectral Bands,Imagery,Indian Remote-Sensing Satellite (IRS),Level-1T,Visible,Remote Sensing,Level-1G,Indian Space Research Organisation (ISRO)", "legacyId": 13082, "sceneCount": 87307, "spatialBounds": {"north": 78.3333888135593, "east": 179.150797933991, "south": -80.3449973060101, "west": -179.900122479985}, "temporalCoverage": "[\"2005-01-08 00:00:00-06\",\"2021-03-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The ISS SERVIR Environmental Research and Visualization System (ISERV) acquired images of the Earth's surface from the International Space Station (ISS). The goal was to improve automatic image capturing and data transfer.\r\n\r\nISERV's main component was the optical assembly which consisted of a 9.25 inch Schmidt-Cassegrain telescope, a focal reducer (field of view enlarger), a digital single lens reflex camera, and a high precision focusing mechanism. A motorized 2-axis pointing mount allowed pointing at targets approximately 23 degrees from nadir in both along- and across-track directions.\r\n", "acquisitionStart": "2013-03-27", "acquisitionEnd": "2014-11-27", "catalogs": ["EE"], "collectionName": "ISERV", "collectionLongName": "International Space Station (ISS) SERVIR Environmental Research and Visualization System Photos: 2013-2014", "datasetId": "5e83a2a6471a60c2", "datasetAlias": "iserv", "datasetCategoryName": "ISERV", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:06:06.096203-05", "doiNumber": "https://doi.org/10.5066/F7K0737X", "ingestFrequency": null, "keywords": "None,International Space Station (ISS),ISERV,ISS SERVIR Environmentel Research and Visualization System (ISERV),Earth Resources Observation and Science (EROS) Center,U.S. Geological Survey (USGS),Photograph,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 10440, "sceneCount": 0, "spatialBounds": {"north": 53.3605779959339, "east": 177.936274131618, "south": -51.8036669689101, "west": -178.29429387192}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Ivanpah Playa, USA", "collectionLongName": "Calibration Validation Reference Sites - Ivanpah Playa,USA", "datasetId": "5e83db56c4dc2942", "datasetAlias": "calval_is_ivanpah_playa", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:50.906102-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4491, "sceneCount": 2873, "spatialBounds": {"north": 37.1519265510996, "east": -113.435830291753, "south": 31.8473765561525, "west": -116.693189398803}, "temporalCoverage": "[\"1972-08-26 17:49:10-05\",\"2020-10-01 17:40:48-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-08-16", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "La Crau, France", "collectionLongName": "Calibration Validation Reference Sites - La Crau, France", "datasetId": "5e83db5aa3932f44", "datasetAlias": "calval_is_lacrau_france", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:54.414786-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4492, "sceneCount": 1022, "spatialBounds": {"north": 45.6493014545575, "east": 6.50562858595279, "south": 41.8572877160027, "west": 1.91373984959434}, "temporalCoverage": "[\"1972-08-16 09:56:37-05\",\"2021-01-01 09:42:20-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The United States Geological Survey (USGS) Land Cover Trends field photography collection is a national-scale, ground-reference dataset which initially served as a research tool to aid in Landsat-derived land-use/land-cover (LULC) change analyses and assessments. Between 1999 and 2007, Land Cover Trends scientists collected over 33,000 geographically referenced field photos with associated keywords capturing existing LULC and regional change process taking place. The field photography collection represents the most comprehensive national database of geo-referenced USGS field photography in the United States. In a project funded by the USGS Climate and Land Use Change and Core Science Systems Mission Areas, 13,000 photos distributed across 44 Level III Environmental Protection Agency (EPA) ecoregions are currently being disseminated to the public. As the remaining field photographs are geotagged, the online collection will grow to include photos within 40 additional ecoregions.", "acquisitionStart": "1999-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Land Cover Trends Photos", "collectionLongName": "Land Cover Trends Geotagged Photography: 1999-2007", "datasetId": "5e83a2cc16d7532", "datasetAlias": "land_cover_trend_block", "datasetCategoryName": "Land Cover", "dataOwner": "DMID", "dateUpdated": "2021-02-17 14:53:46.275647-06", "doiNumber": "https://doi.org/10.5066/P9GXVKLM ", "ingestFrequency": "P1D", "keywords": "None,Earth Resources Observation and Science (EROS) Center,Land Cover Trends,Photography,Ecoregion,U.S. Geological Survey (USGS),Imagery,ISO 19115 Topic Category,imageryBaseMapsEarthCover,010", "legacyId": 7616, "sceneCount": 12364, "spatialBounds": {"north": 49.0086944, "east": -67.0410944, "south": 25.3397334, "west": -124.6458194}, "temporalCoverage": "[\"1999-07-01 00:00:00-05\",\"2007-04-01 00:00:00-05\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "2020-03-30", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat C2 L1 Band Files", "collectionLongName": "Landsat Collection 2 Band Files", "datasetId": "5e81ff5f86d11d08", "datasetAlias": "landsat_band_files_c2_l1", "datasetCategoryName": null, "dataOwner": "LSAA", "dateUpdated": "2020-04-23 23:18:22.056932-05", "doiNumber": null, "ingestFrequency": "PT30M", "keywords": null, "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "2020-03-30", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "Landsat C2 L2 Band Files", "collectionLongName": "Landsat Collection 2 Level 2 Band Files", "datasetId": "5f85f041c828327a", "datasetAlias": "landsat_band_files_c2_l2", "datasetCategoryName": null, "dataOwner": "LSAA", "dateUpdated": "2020-11-13 13:08:54.594421-06", "doiNumber": null, "ingestFrequency": "PT30M", "keywords": null, "legacyId": null, "sceneCount": 0, "spatialBounds": null, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1973-01-15", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Libya 1", "collectionLongName": "Calibration Validation Reference Sites - Libya 1", "datasetId": "5e83da8dfd425866", "datasetAlias": "calval_pis_libya_1", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:04:29.535598-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4484, "sceneCount": 1287, "spatialBounds": {"north": 25.5896896486991, "east": 14.7812464509334, "south": 23.4364057312106, "west": 12.1863061826268}, "temporalCoverage": "[\"1973-02-02 09:05:25-06\",\"2020-12-01 08:54:10-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-11-16", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Libya 4", "collectionLongName": "Calibration Validation Reference Sites - Libya 4", "datasetId": "5e83da927b54de88", "datasetAlias": "calval_pis_libya_4", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:04:34.666063-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4485, "sceneCount": 2307, "spatialBounds": {"north": 29.9450639619046, "east": 25.1055829527395, "south": 27.7009084942193, "west": 22.068953658749}, "temporalCoverage": "[\"1972-11-16 00:00:00-06\",\"2020-05-29 08:27:48-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG\nThe Land Cover Type Yearly Climate Modeling Grid (CMG) is a lower spatial resolution (0.05?) product, which provides the dominant land cover type and also the sub-grid frequency distribution of land cover classes. The CMG product (Short name: MCD12C1) is derived using the same algorithm that produces the V005 Global 500 m Land Cover Type product (MCD12Q1). It contains three classification schemes, which describe the land cover properties derived from observations spanning a year?s input of Terra and Aqua MODIS data. The primary land cover scheme identifies 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP), which includes 11 natural vegetation classes, 3 developed and mosaicked land classes, and 3 non-vegetated land classes. It includes the following three classification schemes, derived through a supervised decision-tree classification method:\nLand Cover Type 1: IGBP global vegetation classification scheme \nLand Cover Type 3: MODIS-derived LAI/FPAR scheme \nLand Cover Type 2: University of Maryland (UMD) scheme \nAdditional layers include a Land Cover Type Assessment SDS, a Land Cover Percent SDS, and a Land Cover Quality Control SDS.\nInformation on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MCD12Q1", "collectionLongName": "LPCS - MODIS/COMBINED MDC12Q1 Land Cover Type Yearly L3 Global 500 m SIN Grid", "datasetId": "5ea27ccb41ea0d76", "datasetAlias": "lpcs_modis_mcd12q1", "datasetCategoryName": "MODIS Land Cover", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:44:43.437019-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 4276, "sceneCount": 6299, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2001-01-01 00:00:00-06\",\"2019-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods.\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\nInformation on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MCD43A3", "collectionLongName": "LPCS - MODIS MCD43A3", "datasetId": "5ea27ccf6fca7c2e", "datasetAlias": "lpcs_modis_mcd43a3", "datasetCategoryName": "MODIS Albedo", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:44:47.366949-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 12621, "sceneCount": 2360529, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD09A1", "collectionLongName": "LPCS - MODIS MOD09A1", "datasetId": "5ea27cd3158f58c1", "datasetAlias": "lpcs_modis_mod09a1", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:44:51.276144-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8400, "sceneCount": 283780, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD09GA", "collectionLongName": "LPCS - MODIS MOD09GA", "datasetId": "5ea27cd629786119", "datasetAlias": "lpcs_modis_mod09ga", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:44:54.280017-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8401, "sceneCount": 2435542, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD09GQ", "collectionLongName": "LPCS - MODIS MOD09GQ", "datasetId": "5ea27cd8d1023411", "datasetAlias": "lpcs_modis_mod09gq", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:44:57.021478-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8402, "sceneCount": 2228744, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:05:00-06\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD09Q1", "collectionLongName": "LPCS - MODIS MOD09Q1", "datasetId": "5ea27cdc2d4d12a9", "datasetAlias": "lpcs_modis_mod09q1", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:00.028128-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8403, "sceneCount": 283781, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Terra Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. \nInformation on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table", "acquisitionStart": "2004-09-05", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD11A1", "collectionLongName": "LPCS - MODIS/COMBINED MOD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN", "datasetId": "5ea27cdedb996a5d", "datasetAlias": "lpcs_modis_mod11a1", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V5", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:02.790927-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 4289, "sceneCount": 2408782, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-04 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD13A1", "collectionLongName": "LPCS - MODIS MOD13A1", "datasetId": "5ea27ce5c0cc9fe7", "datasetAlias": "lpcs_modis_mod13a1", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:09.070602-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8404, "sceneCount": 140063, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD13A2", "collectionLongName": "LPCS - MODIS MOD13A2", "datasetId": "5ea27ce14b7518d8", "datasetAlias": "lpcs_modis_mod13a2", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:05.976698-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8405, "sceneCount": 140506, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD13A3", "collectionLongName": "LPCS - MODIS MOD13A3", "datasetId": "5ea27ce96cd8cee1", "datasetAlias": "lpcs_modis_mod13a3", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:13.039352-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8406, "sceneCount": 73478, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-01 00:00:00-06\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MOD13Q1", "collectionLongName": "LPCS - MODIS MOD13Q1", "datasetId": "5ea27cec84a610b0", "datasetAlias": "lpcs_modis_mod13q1", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:16.374008-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8407, "sceneCount": 140505, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD09A1", "collectionLongName": "LPCS - MODIS MYD09A1", "datasetId": "5ea27cf425a33ff8", "datasetAlias": "lpcs_modis_myd09a1", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:24.048739-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8408, "sceneCount": 252269, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": null, "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD09GA", "collectionLongName": "LPCS - MODIS MYD09GA", "datasetId": "5ea27cefe048fa16", "datasetAlias": "lpcs_modis_myd09ga", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:19.704824-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "", "legacyId": 8409, "sceneCount": 2176201, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD09GQ", "collectionLongName": "LPCS - MODIS MYD09GQ", "datasetId": "5ea27cf8b0d3ad0b", "datasetAlias": "lpcs_modis_myd09gq", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:28.545982-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8410, "sceneCount": 1992475, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:45:00-05\",\"2021-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.\nInformation on individual MODIS Land Surface Reflectance Products along with improvements/changes for Verson 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A10", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD09Q1", "collectionLongName": "LPCS - MODIS MYD09Q1", "datasetId": "5ea27cfc2a30598a", "datasetAlias": "lpcs_modis_myd09q1", "datasetCategoryName": "MODIS Land Surface Reflectance", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:32.167477-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8411, "sceneCount": 252269, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Terra Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. \nInformation on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD11A1", "collectionLongName": "LPCS - MODIS/Aqua MYD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN", "datasetId": "5ea27d00d97e4824", "datasetAlias": "lpcs_modis_myd11a1", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V5", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:36.326251-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 4296, "sceneCount": 2147619, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-03 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD13A1", "collectionLongName": "LPCS - MODIS MYD13A1", "datasetId": "5ea27d033e7d71c8", "datasetAlias": "lpcs_modis_myd13a1", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:39.862263-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8412, "sceneCount": 124753, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD13A2", "collectionLongName": "LPCS - MODIS MYD13A2", "datasetId": "5ea27d0753f668fd", "datasetAlias": "lpcs_modis_myd13a2", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:43.788541-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8413, "sceneCount": 124786, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD13A3", "collectionLongName": "LPCS - MODIS MYD13A3", "datasetId": "5ea27d0ea31f4ea9", "datasetAlias": "lpcs_modis_myd13a3", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:50.616194-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8414, "sceneCount": 64892, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-01 00:00:00-05\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectance, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\r\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions.\r\nThe EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectance that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table\r\n", "acquisitionStart": "2020-04-24", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - MODIS MYD13Q1", "collectionLongName": "LPCS - MODIS MYD13Q1", "datasetId": "5ea27d0beee84dfa", "datasetAlias": "lpcs_modis_myd13q1", "datasetCategoryName": "MODIS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:47.712592-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Land", "legacyId": 8415, "sceneCount": 124797, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Sentinel-2A satellite is operated by the European Space Agency (ESA). The Sentinel Multispectral Instrument (MSI) acquires 13 spectral bands ranging from Visible and Near-Infrared (VNIR) to Shortwave Infrared (SWIR) wavelengths along a 290-km orbital swath. The MSI data are complementary to data acquired by the Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). The satellite operates in a sun-synchronous orbit with a 10-day repeat cycle. A collaborative effort between ESA and the U.S. Geological Survey (USGS) provides another data portal for Sentinel-2 data products.", "acquisitionStart": "2015-07-04", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS_SENTINEL_2A", "collectionLongName": "European Space Agency Sentinel 2", "datasetId": "5ea27cc4ced050e6", "datasetAlias": "lpcs_sentinel_2a", "datasetCategoryName": "Sentinel", "dataOwner": "DMID", "dateUpdated": "2020-04-24 00:44:36.984269-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "None,Imagery,European Space Agency (ESA),Spectral Bands,Visible,Near Infrared,Short Wave Infrared (SWIR),Reflectance,Top-of-Atmosphere (TOA),U.S. Military Grid Reference System,Level-1C,Copernicus,European Commission,Multi-Spectral Instrument,Sentinel-2,Satellite,Remote Sensing,U.S. Geological Survey (USGS),ISO 19115 Category,imageryBaseMapsEarthCover", "legacyId": 15500, "sceneCount": 12246004, "spatialBounds": {"north": 83.7583450348868, "east": 180.01, "south": -97.6788797290394, "west": -180.01}, "temporalCoverage": "[\"2015-06-27 00:00:00-05\",\"2021-02-17 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance Version 1 products provide an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.", "acquisitionStart": "2014-08-26", "acquisitionEnd": null, "catalogs": ["LPCS"], "collectionName": "LPCS - VIIRS VNP09GA", "collectionLongName": "LPCS VIIRS/VNP Surface Reflectance Daily L2G Global 1km and 500m SIN Grid", "datasetId": "5ea27d12d5fe7d27", "datasetAlias": "lpcs_viirs_vnp09ga", "datasetCategoryName": "NASA LPDAAC Collections (VIIRS)", "dataOwner": "LPDAAC", "dateUpdated": "2020-04-24 00:45:54.218692-05", "doiNumber": "http://dx.doi.org/10.5067/VIIRS/VNP09GA.001", "ingestFrequency": "P1D", "keywords": "Surface Reflectance,Land Processes Distributed Active Archive Center (LP DAAC),National Aeronautics and Space Administration (NASA),Visible Infrared Imaging Radiometer Suite (VIIRS),Suomi National Polar-Orbiting Partnership (S-NPP)", "legacyId": 15143, "sceneCount": 1082970, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2012-01-19 00:00:00-06\",\"2021-03-07 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-09-26", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Mauritania 1", "collectionLongName": "Calibration Validation Reference Sites - Mauritania 1", "datasetId": "5e83de08d1ec1349", "datasetAlias": "calval_pis_mauritania_1", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:19:20.26589-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4486, "sceneCount": 1358, "spatialBounds": {"north": 21.2827907699933, "east": -7.89368009674539, "south": 17.7380094239077, "west": -10.7521967943001}, "temporalCoverage": "[\"1972-09-26 00:00:00-05\",\"2020-05-25 10:34:25-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-09-26", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Mauritania 2", "collectionLongName": "Calibration Validation Reference Sites - Mauritania 2", "datasetId": "5e83de0b96a672bc", "datasetAlias": "calval_pis_mauritania_2", "datasetCategoryName": "Pseudo-Invariant Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:19:23.550828-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4487, "sceneCount": 1406, "spatialBounds": {"north": 22.6867198357359, "east": -7.51494875848915, "south": 18.7891540304999, "west": -10.4318961132333}, "temporalCoverage": "[\"1972-09-26 00:00:00-05\",\"2020-05-25 10:34:01-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type Version 6 data products provide global land cover types at yearly intervals. The data products are derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes. International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes are are used to identify land cover classes. Layers for Land Cover Type 1-5, Land Cover Property 1-3, and Land Cover Property Assessment 1-3, Land Cover Quality Control (QC), and a Land Water Mask are provided in each Hierarchical Data Format 4 (HDF4) file.", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD12C1 V6", "collectionLongName": "MODIS/Terra and Aqua Combined Land Cover Type CMG Yearly Global 0.05 Deg V006", "datasetId": "5e83a595a7336cad", "datasetAlias": "modis_mcd12c1_v6", "datasetCategoryName": "MODIS Land Cover - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:18:29.492255-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD12C1.006", "ingestFrequency": "P1D", "keywords": "Land Cover Type,Land Cover Classification,Land Use/Land Cover,National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Land Processes Distributed Active Archive Center (LP DAAC),Terra,Aqua", "legacyId": 15720, "sceneCount": 19, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2001-01-01 00:00:00-06\",\"2019-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type Version 6 data products provide global land cover types at yearly intervals. The data products are derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes. International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes are are used to identify land cover classes. Layers for Land Cover Type 1-5, Land Cover Property 1-3, and Land Cover Property Assessment 1-3, Land Cover Quality Control (QC), and a Land Water Mask are provided in each Hierarchical Data Format 4 (HDF4) file.", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD12Q1 V6", "collectionLongName": "MODIS/Terra and Aqua Combined Land Cover Type Yearly Global 500 m SIN Grid V006", "datasetId": "5e83db67ed940f80", "datasetAlias": "modis_mcd12q1_v6", "datasetCategoryName": "MODIS Land Cover - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:08:07.828759-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD12Q1.006", "ingestFrequency": "P1D", "keywords": "Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),National Aeronautics and Space Administration (NASA),Land Use/Land Cover", "legacyId": 15721, "sceneCount": 6299, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2001-01-01 00:00:00-06\",\"2019-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Dynamics (MCD12Q2) Version 6 data product provides global land surface phenology metrics at yearly intervals. The MCD12Q2 Version 6 data product is derived from time series of the 2-band Enhanced Vegetation Index (EVI2) calculated from MODIS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. For pixels with more than two valid vegetation cycles, the data represent the two cycles with the largest NBAR-EVI2 amplitudes.\r\n\r\nProvided in each MCD12Q2 Version 6 Hierarchical Data Format 4 (HDF4) file are layers for the total number of vegetation cycles detected for the product year, the onset of greenness, greenup midpoint, maturity, peak greenness, senescence, greendown midpoint, dormancy, EVI2 minimum, EVI2 amplitude, integrated EVI2 over a vegetation cycle, as well as overall and phenology metric-specific quality information. A low-resolution browse image showing greenup is also available when viewing each MCD12Q2 granule. SDS layers may be multi-dimensional with up to two valid vegetation cycles.\r\n\r\nFor areas where the NBAR-EVI2 values are missing due to cloud cover or other reasons, the data gaps are filled with good quality NBAR-EVI2 values from the year directly preceding or following the product year.\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD12Q2 V6", "collectionLongName": "MODIS/Terra and Aqua Land Cover Dynamics Yearly L3 Global 500 m SIN Grid V006", "datasetId": "5e83a6b38a8d73fa", "datasetAlias": "modis_mcd12q2_v6", "datasetCategoryName": "MODIS Land Cover - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:23:15.264018-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD12Q2.006", "ingestFrequency": "P1D", "keywords": "Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),National Aeronautics and Space Administration (NASA),Land Cover,Vegetation,2-band Enhanced Vegetation Index (EVI2),Bidirectional Reflectance Distribution Function (BRDF),Nadir BRDF-Adjusted Reflectance (NBAR)", "legacyId": 16940, "sceneCount": 5656, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2001-01-01 00:00:00-06\",\"2018-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 500-meter resolution. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700nm) absorbed by the green elements of a vegetation canopy. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A7.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD15A2H V6", "collectionLongName": "MODIS/COMBINED MCD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6", "datasetId": "5e83dcf719b0b175", "datasetAlias": "modis_mcd15a2h_v6", "datasetCategoryName": "MODIS LAI/FPAR - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:47.901329-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MCD15A2H.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer,MODIS,Leaf Area Index (LAI),Land,Fraction of Photosynthetically Active Radiation,FPAR", "legacyId": 10820, "sceneCount": 246476, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 500-meter resolution. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700nm) absorbed by the green elements of a vegetation canopy. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A7.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD15A3H V6", "collectionLongName": "MODIS/COMBINED MCD15A3H Leaf Area Index - Fraction of Photosynthetically Active Radiation 4-Day L4 Global 500 m Version 6", "datasetId": "5e83da02ccde9f09", "datasetAlias": "modis_mcd15a3h_v6", "datasetCategoryName": "MODIS LAI/FPAR - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:02:10.03505-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MCD15A3H.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer,MODIS,Leaf Area Index (LAI),Land,Fraction of Photosynthetically Active Radiation,FPAR", "legacyId": 10821, "sceneCount": 491912, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-26 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) suite of atmospheric and surface products in HDF4 format, include: (1) daily MCD19A1 (spectral BRF, or surface reflectance), (2) daily MCD19A2 (atmospheric properties), and (3)8-day MCD19A3 (spectral BRDF/albedo). MAIAC is a new advanced algorithm which uses time series analysis and a combination of pixel- and image-based processing to improve accuracy of cloud detection, aerosol retrievals and atmospheric correction. The underlying physical idea behind MAIAC is simple: because surface changes slowly in time compared to aerosols and clouds given the daily rate of global MODIS observations, the focus is on extensive characterization of the surface background in order to improve all stages of MAIAC processing. MAIAC starts with gridding MODIS measurements (L1B data) to a fixed grid at 1km resolution in order to observe the same grid cell over time and work with polar-orbiting observations as if they were geostationary.", "acquisitionStart": "2000-02-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD19A1 V6", "collectionLongName": "MODIS/Terra and Aqua MAIAC Land Surface BRF Daily L2G Global 500 m and 1 km SIN Grid Version 6", "datasetId": "5e83d99d3174b8a6", "datasetAlias": "modis_mcd19a1_v6", "datasetCategoryName": "MODIS MAIAC - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:00:29.195625-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD19A1.006", "ingestFrequency": "P1D", "keywords": "Land,Multi-Angle Implementation of Atmospheric Correction (MAIAC),Aqua,Land Aerosol Optical Depth (AOD),Bidirectional Reflectance Distribution Function (BRDF),Moderate Resolution Imaging Spectroradiometer (MODIS),Terra,Bidirectional Reflectance Factor (BRF)", "legacyId": 15966, "sceneCount": 2090227, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-26 00:00:00-06\",\"2021-03-03 22:05:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) suite of atmospheric and surface products in HDF4 format, include: (1) daily MCD19A1 (spectral BRF, or surface reflectance), (2) daily MCD19A2 (atmospheric properties), and (3)8-day MCD19A3 (spectral BRDF/albedo). MAIAC is a new advanced algorithm which uses time series analysis and a combination of pixel- and image-based processing to improve accuracy of cloud detection, aerosol retrievals and atmospheric correction. The underlying physical idea behind MAIAC is simple: because surface changes slowly in time compared to aerosols and clouds given the daily rate of global MODIS observations, the focus is on extensive characterization of the surface background in order to improve all stages of MAIAC processing. MAIAC starts with gridding MODIS measurements (L1B data) to a fixed grid at 1km resolution in order to observe the same grid cell over time and work with polar-orbiting observations as if they were geostationary.", "acquisitionStart": "2000-02-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD19A2 V6", "collectionLongName": "MODIS/Terra and Aqua MAIAC Land Aerosol Optical Depth Daily L2G 1 km SIN Grid Version 6", "datasetId": "5e83a5a6c401880b", "datasetAlias": "modis_mcd19a2_v6", "datasetCategoryName": "MODIS MAIAC - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:18:46.686013-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD19A2.006 ", "ingestFrequency": "P1D", "keywords": "Aqua,Land,Multi-Angle Implementation of Atmospheric Correction (MAIAC),Bidirectional Reflectance Factor (BRF),Terra,Land Aerosol Optical Depth (AOD),Bidirectional Reflectance Distribution Function (BRDF),Moderate Resolution Imaging Spectroradiometer (MODIS)", "legacyId": 15967, "sceneCount": 2091348, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-26 00:00:00-06\",\"2021-03-03 22:05:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "MODIS Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) suite of atmospheric and surface products in HDF4 format, include: (1) daily MCD19A1 (spectral BRF, or surface reflectance), (2) daily MCD19A2 (atmospheric properties), and (3)8-day MCD19A3 (spectral BRDF/albedo). MAIAC is a new advanced algorithm which uses time series analysis and a combination of pixel- and image-based processing to improve accuracy of cloud detection, aerosol retrievals and atmospheric correction. The underlying physical idea behind MAIAC is simple: because surface changes slowly in time compared to aerosols and clouds given the daily rate of global MODIS observations, the focus is on extensive characterization of the surface background in order to improve all stages of MAIAC processing. MAIAC starts with gridding MODIS measurements (L1B data) to a fixed grid at 1km resolution in order to observe the same grid cell over time and work with polar-orbiting observations as if they were geostationary.", "acquisitionStart": "2000-02-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD19A3 V6", "collectionLongName": "MODIS/Terra and Aqua MAIAC BRDF Model Parameters 8-Day L3 1 km SIN Grid Version 6", "datasetId": "5e83d975ae565e63", "datasetAlias": "modis_mcd19a3_v6", "datasetCategoryName": "MODIS MAIAC - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:59:49.81198-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD19A3.006", "ingestFrequency": "P1D", "keywords": "Bidirectional Reflectance Factor (BRF),Aqua,Land Aerosol Optical Depth (AOD),Bidirectional Reflectance Distribution Function (BRDF),Land,Terra,Multi-Angle Implementation of Atmospheric Correction (MAIAC),Moderate Resolution Imaging Spectroradiometer (MODIS)", "legacyId": 15980, "sceneCount": 264699, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-26 00:00:00-06\",\"2021-02-25 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_pixel_size%3A47&%3Bf[1]=im_field_product%3A3&%3Bf[2]=im_field_spatial_extent%3A50&%3Bf[3]=im_field_pixel_size%3A47.\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43A1 V6", "collectionLongName": "MCD43A1: MODIS/Terra and Aqua BRDF/Albedo Model Parameters Daily L3 Global 500 m SIN Grid Version 6", "datasetId": "5e83d9718712dd61", "datasetAlias": "modis_mcd43a1_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:59:45.740946-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43A1.006", "ingestFrequency": "P1D", "keywords": "Bidirectional Reflectance Distribution Function (BRDF),National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),Albedo", "legacyId": 12720, "sceneCount": 2360493, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_pixel_size%3A47&%3Bf[1]=im_field_product%3A3&%3Bf[2]=im_field_spatial_extent%3A50&%3Bf[3]=im_field_pixel_size%3A47.\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43A2 V6", "collectionLongName": "MCD43A2: MODIS/Terra and Aqua BRDF/Albedo Quality Daily L3 Global 500 m SIN Grid Version 6 ", "datasetId": "5e83d98b4cd3b753", "datasetAlias": "modis_mcd43a2_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:00:11.853553-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43A2.006", "ingestFrequency": "P1D", "keywords": "Bidirectional Reflectance Distribution Function (BRDF),National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),Albedo", "legacyId": 12721, "sceneCount": 2360528, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_pixel_size%3A47&%3Bf[1]=im_field_product%3A3&%3Bf[2]=im_field_spatial_extent%3A50&%3Bf[3]=im_field_pixel_size%3A47.\r\n", "acquisitionStart": "2000-05-27", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43A3 V6", "collectionLongName": "MCD43A3: MODIS/Terra and Aqua Albedo Daily L3 Global 500 m SIN Grid Version 6 ", "datasetId": "5e83d98fa66349be", "datasetAlias": "modis_mcd43a3_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:00:15.861832-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43A3.006", "ingestFrequency": "P1D", "keywords": "Bidirectional Reflectance Distribution Function (BRDF),National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),Albedo", "legacyId": 12722, "sceneCount": 2360529, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_pixel_size%3A47&%3Bf[1]=im_field_product%3A3&%3Bf[2]=im_field_spatial_extent%3A50&%3Bf[3]=im_field_pixel_size%3A47.\r\n", "acquisitionStart": "2000-05-17", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43A4 V6", "collectionLongName": "MCD43A4: MODIS/Terra and Aqua Nadir BRDF-Adjusted Reflectance Daily L3 Global 500 m SIN Grid Version 6", "datasetId": "5e83dcfb91073edc", "datasetAlias": "modis_mcd43a4_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:51.545746-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43A4.006", "ingestFrequency": "P1D", "keywords": "Bidirectional Reflectance Distribution Function (BRDF),National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Land Processes Distributed Active Archive Center (LP DAAC),Albedo", "legacyId": 12723, "sceneCount": 2360529, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A49.", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43C1 V6", "collectionLongName": "MCD43C1: MODIS/Terra and Aqua BRDF/Albedo Model Parameters Daily L3 Global 0.05Deg CMG Version 6 ", "datasetId": "5e83d96892017518", "datasetAlias": "modis_mcd43c1_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:59:36.485916-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43C1.006", "ingestFrequency": "P1D", "keywords": "Terra,National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Land Processes Distributed Active Archive Center (LP DAAC),Albedo,Bidirectional Reflectance Distribution Function (BRDF),Aqua", "legacyId": 12724, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A49.", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43C2 V6", "collectionLongName": "MCD43C2: MODIS/Terra and Aqua BRDF/Albedo Snow-free Parameters Daily L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dcff3b0eaeb8", "datasetAlias": "modis_mcd43c2_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:55.030927-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43C2.006", "ingestFrequency": "P1D", "keywords": "Terra,National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Land Processes Distributed Active Archive Center (LP DAAC),Albedo,Bidirectional Reflectance Distribution Function (BRDF),Aqua", "legacyId": 12725, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A49.", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43C3 V6", "collectionLongName": "MCD43C3: MODIS/Terra and Aqua BRDF/Albedo Daily L3 Global 0.05Deg CMG Version 6 ", "datasetId": "5e83d998392eb6b2", "datasetAlias": "modis_mcd43c3_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:00:24.333769-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43C3.006", "ingestFrequency": "P1D", "keywords": "Terra,National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Land Processes Distributed Active Archive Center (LP DAAC),Albedo,Bidirectional Reflectance Distribution Function (BRDF),Aqua", "legacyId": 12726, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods. The MCD43A2 contains individual band quality and observation information for the MODIS \"land\" bands 1-7. The MCD43C1 through MCD43C4 products each contain 16 days of data provided in a level-3 data set projected to a 0.05 (5,600 meters) latitude/longitude Climate Modeling Grid (CMG).\r\n\r\nBoth Terra and Aqua data are used in the generation of the products, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products is available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A49.", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43C4 V6", "collectionLongName": "MCD43C4: MODIS/Terra and Aqua Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05Deg CMG Version 6 ", "datasetId": "5e83d9c6fcef9a90", "datasetAlias": "modis_mcd43c4_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:10.376975-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43C4.006", "ingestFrequency": "P1D", "keywords": "Terra,National Aeronautics and Space Administration (NASA),MODerate-resolution Imaging Spectroradiometer (MODIS),Land Processes Distributed Active Archive Center (LP DAAC),Albedo,Bidirectional Reflectance Distribution Function (BRDF),Aqua", "legacyId": 12727, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D01 V6", "collectionLongName": "MCD43D01: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 1 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dc9cb1d1477b", "datasetAlias": "modis_mcd43d01_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:16.357373-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D01.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12480, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D02 V6", "collectionLongName": "MCD43D02: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 1 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83d97ce3c90ab5", "datasetAlias": "modis_mcd43d02_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:59:56.412711-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D02.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12481, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D03 V6", "collectionLongName": "MCD43D03: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 1 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dc993df24b7c", "datasetAlias": "modis_mcd43d03_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:13.312467-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D03.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12482, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D04 V6", "collectionLongName": "MCD43D04: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 2 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83db6e6d8279b0", "datasetAlias": "modis_mcd43d04_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:08:14.508891-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D04.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12483, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D05 V6", "collectionLongName": "MCD43D05: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 2 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83d994c88b64df", "datasetAlias": "modis_mcd43d05_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:00:20.376476-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D05.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12484, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D06 V6", "collectionLongName": "MCD43D06: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 2 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83db6b8bb09f51", "datasetAlias": "modis_mcd43d06_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:08:11.762665-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D06.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12485, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D07 V6", "collectionLongName": "MCD43D07: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 3 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcc7f0d1e5ce", "datasetAlias": "modis_mcd43d07_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:59.323658-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D07.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12486, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-04-23", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D08 V6", "collectionLongName": "MCD43D08: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 3 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83d9f968c7facc", "datasetAlias": "modis_mcd43d08_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:02:01.632006-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D08.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12487, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D09 V6", "collectionLongName": "MCD43D09: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 3 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dc9faa89488f", "datasetAlias": "modis_mcd43d09_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:19.52416-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D09.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12488, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D10 V6", "collectionLongName": "MCD43D10: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 4 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83a5b23fa7f2d1", "datasetAlias": "modis_mcd43d10_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:18:58.238114-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D10.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12489, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D11 V6", "collectionLongName": "MCD43D11: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 4 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9e650486eff", "datasetAlias": "modis_mcd43d11_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:42.741849-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D11.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12490, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D12 V6", "collectionLongName": "MCD43D12: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 4 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dca620127aec", "datasetAlias": "modis_mcd43d12_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:26.227618-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D12.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12491, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D13 V6", "collectionLongName": "MCD43D13: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 5 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dca212fd90dc", "datasetAlias": "modis_mcd43d13_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:22.761398-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D13.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12492, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D14 V6", "collectionLongName": "MCD43D14: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 5 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dbd92ccbedfd", "datasetAlias": "modis_mcd43d14_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:10:02.028095-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D14.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12493, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D15 V6", "collectionLongName": "MCD43D15: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 5 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcf41915146a", "datasetAlias": "modis_mcd43d15_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:44.609277-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D15.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12494, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D16 V6", "collectionLongName": "MCD43D16: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 6 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dca9c7798d67", "datasetAlias": "modis_mcd43d16_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:29.880317-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D16.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12495, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D17 V6", "collectionLongName": "MCD43D17: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 6 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcb0b8ddf0c5", "datasetAlias": "modis_mcd43d17_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:36.201427-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D17.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12496, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D18 V6", "collectionLongName": "MCD43D18: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 6 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcb85e2abb9e", "datasetAlias": "modis_mcd43d18_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:44.447429-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D18.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12497, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D19 V6", "collectionLongName": "MCD43D19: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Band 7 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcaddd5f6c56", "datasetAlias": "modis_mcd43d19_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:33.057349-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D19.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12498, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D20 V6", "collectionLongName": "MCD43D20: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Band 7 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcc13acd41d2", "datasetAlias": "modis_mcd43d20_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:53.228468-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D20.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12499, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D21 V6", "collectionLongName": "MCD43D21: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Band 7 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9c9982f049a", "datasetAlias": "modis_mcd43d21_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:13.774813-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D21.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12500, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D22 V6", "collectionLongName": "MCD43D22: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 VIS Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcb2ab390f0b", "datasetAlias": "modis_mcd43d22_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:38.899166-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D22.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12501, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D23 V6", "collectionLongName": "MCD43D23: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 VIS Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83d9cd9fe9419c", "datasetAlias": "modis_mcd43d23_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:17.312699-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D23.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12502, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D24 V6", "collectionLongName": "MCD43D24: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 VIS Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcb5fa4ebb0b", "datasetAlias": "modis_mcd43d24_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:41.871663-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D24.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12503, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D25 V6", "collectionLongName": "MCD43D25: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 NIR Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcbb7ebe14e9", "datasetAlias": "modis_mcd43d25_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:47.262307-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D25.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12504, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D26 V6", "collectionLongName": "MCD43D26: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 NIR Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9f225f14bb3", "datasetAlias": "modis_mcd43d26_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:54.379662-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D26.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12505, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D27 V6", "collectionLongName": "MCD43D27: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 NIR Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83d9ee64e21044", "datasetAlias": "modis_mcd43d27_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:50.084223-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D27.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12506, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D28 V6", "collectionLongName": " MCD43D28: MODIS/Terra and Aqua BRDF/Albedo Parameter 1 Shortwave Daily L3 Global 30 ArcSec CMG Version 6\n", "datasetId": "5e83d9d4e6702f62", "datasetAlias": "modis_mcd43d28_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:24.373727-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D28.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12507, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D29 V6", "collectionLongName": "MCD43D29: MODIS/Terra and Aqua BRDF/Albedo Parameter 2 Shortwave Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9d8d2a522b7", "datasetAlias": "modis_mcd43d29_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:28.248464-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D29.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12508, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D30 V6", "collectionLongName": "MCD43D30: MODIS/Terra and Aqua BRDF/Albedo Parameter 3 Shortwave Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcbe3a131ae7", "datasetAlias": "modis_mcd43d30_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:50.239191-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D30.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12509, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D31 V6", "collectionLongName": "MCD43D31: MODIS/Terra and Aqua BRDF/Albedo QA BRDF Quality Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dcc4df3cf6b1", "datasetAlias": "modis_mcd43d31_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:13:56.154011-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D31.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12510, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D32 V6", "collectionLongName": "MCD43D32: MODIS/Terra and Aqua BRDF/Albedo Local Solar Noon Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9ea34e17425", "datasetAlias": "modis_mcd43d32_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:46.62296-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D32.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12511, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D33 V6", "collectionLongName": "MCD43D33: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 1 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcdcf0dc1430", "datasetAlias": "modis_mcd43d33_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:20.720211-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D33.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12512, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D34 V6", "collectionLongName": "MCD43D34: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 2 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dccaaa0a5261", "datasetAlias": "modis_mcd43d34_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:02.982412-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D34.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12513, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D35 V6", "collectionLongName": "MCD43D35: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 3 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd41e164efed", "datasetAlias": "modis_mcd43d35_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:01.906851-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D35.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12514, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D36 V6", "collectionLongName": "MCD43D36: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 4 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9e37e2af0c", "datasetAlias": "modis_mcd43d36_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:39.082812-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D36.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12515, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D37 V6", "collectionLongName": "MCD43D37: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 5 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9dbf96e984d", "datasetAlias": "modis_mcd43d37_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:31.777603-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D37.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12516, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D38 V6", "collectionLongName": "MCD43D38: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 6 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9dfe602fab4", "datasetAlias": "modis_mcd43d38_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:35.702548-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D38.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12517, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D39 V6", "collectionLongName": "MCD43D39: MODIS/Terra and Aqua BRDF/Albedo ValidObs Band 7 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcd33d2c42dd", "datasetAlias": "modis_mcd43d39_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:11.069352-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D39.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12518, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D40 V6", "collectionLongName": "MCD43D40: MODIS/Terra and Aqua BRDF/Albedo QA SnowStatus Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9d0289760bc", "datasetAlias": "modis_mcd43d40_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:20.44333-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D40.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12519, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D41 V6", "collectionLongName": "MCD43D41: MODIS/Terra and Aqua BRDF/Albedo Uncertainty Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcd0e7e721e7", "datasetAlias": "modis_mcd43d41_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:08.295948-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D41.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12520, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D42 V6", "collectionLongName": "MCD43D42: MODIS/Terra and Aqua BRDF/Albedo BSA Band 1 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcd6a8848afc", "datasetAlias": "modis_mcd43d42_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:14.305893-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D42.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12521, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D43 V6", "collectionLongName": "MCD43D43: MODIS/Terra and Aqua BRDF/Albedo BSA Band 2 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dcd9aa100444", "datasetAlias": "modis_mcd43d43_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:17.738887-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D43.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12522, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D44 V6", "collectionLongName": "MCD43D44: MODIS/Terra and Aqua BRDF/Albedo BSA Band 3 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dce0e4826bbc", "datasetAlias": "modis_mcd43d44_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:24.226097-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D44.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12523, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D45 V6", "collectionLongName": "MCD43D45: MODIS/Terra and Aqua BRDF/Albedo BSA Band 4 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd1f508e1146", "datasetAlias": "modis_mcd43d45_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:27.01775-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D45.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12524, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D46 V6", "collectionLongName": "MCD43D46: MODIS/Terra and Aqua BRDF/Albedo BSA Band 5 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83d9fd5cbdc71e", "datasetAlias": "modis_mcd43d46_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:02:05.395097-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D46.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12525, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D47 V6", "collectionLongName": "MCD43D47: MODIS/Terra and Aqua BRDF/Albedo BSA Band 6 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dce91e21d6c3", "datasetAlias": "modis_mcd43d47_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:33.346932-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D47.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12526, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D48 V6", "collectionLongName": "MCD43D48: MODIS/Terra and Aqua BRDF/Albedo BSA Band 7 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dce3822845fd", "datasetAlias": "modis_mcd43d48_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:27.499564-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D48.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12527, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D49 V6", "collectionLongName": "MCD43D49: MODIS/Terra and Aqua BRDF/Albedo BSA VIS Daily L3 Global 30 ArcSec CMG VERSION 6 ", "datasetId": "5e83d9f64c100603", "datasetAlias": "modis_mcd43d49_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:01:58.079978-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D49.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12528, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D50 V6", "collectionLongName": "MCD43D50: MODIS/Terra and Aqua BRDF/Albedo BSA NIR Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd08e3c052b0", "datasetAlias": "modis_mcd43d50_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:04.385623-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D50.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12529, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D51 V6", "collectionLongName": "MCD43D51: MODIS/Terra and Aqua BRDF/Albedo BSA ShortWave Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd01cd60df2b", "datasetAlias": "modis_mcd43d51_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:14:57.922311-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D51.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12530, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D52 V6", "collectionLongName": "MCD43D52: MODIS/Terra and Aqua BRDF/Albedo WSA Band 1 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd335866788f", "datasetAlias": "modis_mcd43d52_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:47.886726-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D52.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12531, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D53 V6", "collectionLongName": "MCD43D53: MODIS/Terra and Aqua BRDF/Albedo WSA Band 2 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd118af47998", "datasetAlias": "modis_mcd43d53_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:13.902357-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D53.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12532, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D54 V6", "collectionLongName": "MCD43D54: MODIS/Terra and Aqua BRDF/Albedo WSA Band 3 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd0544ed6168", "datasetAlias": "modis_mcd43d54_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:01.060281-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D54.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12533, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D55 V6", "collectionLongName": "MCD43D55: MODIS/Terra and Aqua BRDF/Albedo WSA Band 4 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd1b41244a9c", "datasetAlias": "modis_mcd43d55_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:23.880822-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D55.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12534, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D56 V6", "collectionLongName": "MCD43D56: MODIS/Terra and Aqua BRDF/Albedo WSA Band 5 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd18521fdf31", "datasetAlias": "modis_mcd43d56_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:20.468417-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D56.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12535, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D57 V6", "collectionLongName": "MCD43D57: MODIS/Terra and Aqua BRDF/Albedo WSA Band 6 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd36f8b4d895", "datasetAlias": "modis_mcd43d57_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:50.546722-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D57.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12536, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D58 V6", "collectionLongName": "MCD43D58: MODIS/Terra and Aqua BRDF/Albedo WSA Band 7 Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd15494aff1d", "datasetAlias": "modis_mcd43d58_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:17.487546-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D58.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12537, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D59 V6", "collectionLongName": "MCD43D59: MODIS/Terra and Aqua BRDF/Albedo WSA VIS Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd45b4a23384", "datasetAlias": "modis_mcd43d59_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:05.609413-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D59.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12538, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D60 V6", "collectionLongName": "MCD43D60: MODIS/Terra and Aqua BRDF/Albedo WSA NIR Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd21aad2e28a", "datasetAlias": "modis_mcd43d60_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:29.931346-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D60.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12539, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D61 V6", "collectionLongName": "MCD43D61: MODIS/Terra and Aqua BRDF/Albedo WSA ShortWave Daily L3 Global 30 ArcSec CMG Version 6", "datasetId": "5e83dd2ad1a2f497", "datasetAlias": "modis_mcd43d61_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:38.928334-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D61.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12540, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D62 V6", "collectionLongName": "MCD43D62: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 1 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd2dfc3a8247", "datasetAlias": "modis_mcd43d62_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:41.933353-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D62.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12541, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D63 V6", "collectionLongName": "MCD43D63: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 2 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd251316b52b", "datasetAlias": "modis_mcd43d63_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:33.320006-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D63.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12542, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D64 V6", "collectionLongName": "MCD43D64: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 3 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd39b47fc9f1", "datasetAlias": "modis_mcd43d64_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:53.248352-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D64.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12543, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D65 V6", "collectionLongName": "MCD43D65: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 4 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd285936c542", "datasetAlias": "modis_mcd43d65_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:36.045976-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D65.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12544, "sceneCount": 7669, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D66 V6", "collectionLongName": "MCD43D66: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 5 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd3111d7d1b9", "datasetAlias": "modis_mcd43d66_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:45.017567-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D66.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12545, "sceneCount": 7669, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D67 V6", "collectionLongName": "MCD43D67: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 6 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd3b9fa5ada1", "datasetAlias": "modis_mcd43d67_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:55.977749-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D67.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12546, "sceneCount": 7670, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODerate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter data sets are daily 16-day global products. The MCD43D products incorporate the Climate Modeling Grid (CMG) structure in which each file geographically covers the entire earth with a 1,000 meter resolution. Due to the large file size, each product contains just one layer. The Julian date in the granule ID of each specific file represents the 9th day of the 16 day retrieval period, and consequently the observations are weighted to estimate the values for that day.\r\n\r\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data and designating it as an MCD, meaning Combined, product.\r\n\r\nInformation on individual MODIS BRDF/Albedo Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A3&f[2]=im_field_spatial_extent%3A50&f[3]=im_field_pixel_size%3A48\r\n", "acquisitionStart": "2000-12-16", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MCD43D68 V6", "collectionLongName": "MCD43D68: MODIS/Terra and Aqua BRDF/Albedo NBAR Band 7 Daily L3 Global 30 ArcSec CMG Version 6 ", "datasetId": "5e83dd3ed6839437", "datasetAlias": "modis_mcd43d68_v6", "datasetCategoryName": "MODIS BRDF and Albedo - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:15:58.726617-05", "doiNumber": "https://doi.org/10.5067/MODIS/MCD43D68.006", "ingestFrequency": "P1D", "keywords": "Land Processes Distributed Active Archive Center (LP DAAC),MODerate-resolution Imaging Spectroradiometer (MODIS),Aqua,Terra,Albedo,National Aeronautics and Space Administration (NASA),Bidirectional Reflectance Distribution Function (BRDF)", "legacyId": 12547, "sceneCount": 7669, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-16 00:00:00-06\",\"2021-02-16 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2000-02-24", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11A1 V6", "collectionLongName": "MODIS/COMBINED MOD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN Version 6", "datasetId": "5e83a5c5807949a8", "datasetAlias": "modis_mod11a1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:19:17.285153-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11A1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10680, "sceneCount": 2408782, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-04 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11A2 V6", "collectionLongName": "MODIS/TERRA MOD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km Version 6", "datasetId": "5e83dd69b006dd23", "datasetAlias": "modis_mod11a2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:41.944629-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11A2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10681, "sceneCount": 306076, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2000-02-24", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11B1 V6", "collectionLongName": "MODIS/TERRA MOD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83dd4bdf0fa0a9", "datasetAlias": "modis_mod11b1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:11.673507-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11B1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10682, "sceneCount": 2409037, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-04 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11B2 V6", "collectionLongName": "MODIS/TERRA MOD11B2 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83dd63c86fa6bb", "datasetAlias": "modis_mod11b2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:35.984564-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11B2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 11200, "sceneCount": 306077, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11B3 V6", "collectionLongName": "MODIS/TERRA MOD11B3 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83dd5b442dcdd3", "datasetAlias": "modis_mod11b3_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:27.573637-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11B3.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 11201, "sceneCount": 80851, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2000-02-01 00:00:00-06\",\"2021-02-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11C1 V6", "collectionLongName": "MODIS/TERRA MOD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd67ca02ead9", "datasetAlias": "modis_mod11c1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:39.170975-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11C1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10683, "sceneCount": 7620, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-03-03 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11C2 V6", "collectionLongName": "MODIS/TERRA MOD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd61a3fc458a", "datasetAlias": "modis_mod11c2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:33.402624-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11C2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10684, "sceneCount": 966, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11C3 V6", "collectionLongName": "MODIS/TERRA MOD11C3 Land Surface Temperature and Emissivity Monthly L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd77c9e58ee8", "datasetAlias": "modis_mod11c3_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:55.216309-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11C3.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10685, "sceneCount": 253, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-01 00:00:00-06\",\"2021-02-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the polar regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2000-02-24", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD11_L2 V6", "collectionLongName": "MODIS/TERRA MOD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km Version 6", "datasetId": "5e83a5d1bae4e1cb", "datasetAlias": "modis_mod11_l2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:19:30.605684-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD11_L2.006", "ingestFrequency": "P1D", "keywords": "Aqua,Land Surface Reflectance,Terra,MODIS", "legacyId": 10686, "sceneCount": 1861235, "spatialBounds": {"north": 87.8099999477066, "east": 180.01, "south": -88.4993984422137, "west": -180.01}, "temporalCoverage": "[\"2000-02-24 15:25:00-06\",\"2021-03-06 23:40:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2000-12-18", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13A1 V6", "collectionLongName": "MODIS/TERRA MOD13A1 Vegetation Indices 16-Day L3 Global 500m Version 6", "datasetId": "5e83dd5e26db7100", "datasetAlias": "modis_mod13a1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:30.525273-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13A1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10780, "sceneCount": 140063, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2000-12-18", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13A2 V6", "collectionLongName": "MODIS/TERRA MOD13A2 Vegetation Indices 16-Day L3 Global 1km Version 6", "datasetId": "5e83dd6f4abd8a28", "datasetAlias": "modis_mod13a2_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:47.641547-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13A2.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10781, "sceneCount": 140506, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13A3 V6", "collectionLongName": "MODIS/TERRA MOD13A3 Vegetation Indices Monthly L3 Global 1km Version 6", "datasetId": "5e83dd6c53a5eeac", "datasetAlias": "modis_mod13a3_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:44.875177-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13A3.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10782, "sceneCount": 73478, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-01 00:00:00-06\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2000-12-18", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13C1 V6", "collectionLongName": "MODIS/TERRA MOD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd83e8dcfd1c", "datasetAlias": "modis_mod13c1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:07.143219-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13C1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10783, "sceneCount": 483, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13C2 V6", "collectionLongName": "MODIS/TERRA MOD13C2 Vegetation Indices Monthly L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dd725ad06d49", "datasetAlias": "modis_mod13c2_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:50.34418-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13C2.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10784, "sceneCount": 252, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-01 00:00:00-06\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2000-12-18", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD13Q1 V6", "collectionLongName": "MODIS/TERRA MOD13Q1 Vegetation Indices 16-Day L3 Global 250m Version 6", "datasetId": "5e83dd7a9c83f61c", "datasetAlias": "modis_mod13q1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:16:58.660665-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD13Q1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10785, "sceneCount": 140505, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-02 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 500-meter resolution. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700nm) absorbed by the green elements of a vegetation canopy. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A7.", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD15A2H V6", "collectionLongName": "MODIS/TERRA MOD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6", "datasetId": "5e83dd90eadef35c", "datasetAlias": "modis_mod15a2h_v6", "datasetCategoryName": "MODIS LAI/FPAR - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:20.799729-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MOD15A2H.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer,MODIS,Leaf Area Index (LAI),Land,Fraction of Photosynthetically Active Radiation,FPAR", "legacyId": 10822, "sceneCount": 276791, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Version 6 Evapotranspiration/Latent Heat Flux product is a composite product produced at 500 meter pixel resolution. The algorithm used for the Evapotranspiration product is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover. Provided in the product are layers for composited Evapotranspiration (ET), Latent Heat Flux (LE), Potential ET (PET) and Potential LE (PLE) along with a quality control layer. Information on individual MODIS GPP Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f%5B0%5D=im_field_product%3A428.", "acquisitionStart": "2001-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD16A2 V6", "collectionLongName": "MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500 m SIN Grid Version 6", "datasetId": "5e83a6597a8ef6ef", "datasetAlias": "modis_mod16a2_v6", "datasetCategoryName": "MODIS Net Evapotranspiration - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:21:45.175202-05", "doiNumber": "https://doi.org/10.5067/modis/mod16a2.006", "ingestFrequency": "P1D", "keywords": "Terra,Vegetation,Aqua,Evapotranspiration,Moderate Resolution Imaging Spectroradiometer (MODIS),Photosynthesis,Primary Production,Latent Heat Flux", "legacyId": 14600, "sceneCount": 260007, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2001-01-01 00:00:00-06\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter pixel size based on the radiation-use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The data product includes information about Gross Primary Productivity (GPP) and Net Photosynthesis (PSN). The PSN band values are the GPP minus the Maintenance Respiration (MR). The data product also contains a PSN Quality Control layer. The quality layer contains quality information for both the GPP and the PSN. Information on individual MODIS GPP Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A5.", "acquisitionStart": "2000-12-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD17A2H V6", "collectionLongName": "MODIS/TERRA MOD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6", "datasetId": "5e83dd93db805075", "datasetAlias": "modis_mod17a2h_v6", "datasetCategoryName": "MODIS Gross Primary Productivity - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:23.632069-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MOD17A2H.006", "ingestFrequency": "P1D", "keywords": "Theme_Keyword: MODIS,Moderate Resolution Imaging Spectroradiometer,Land,PSN,MODIS,Gross Primary Productivity (GPP),Net Photosynthesis", "legacyId": 10940, "sceneCount": 278036, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-02-18 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MOD44B Version 6 Vegetation Continuous Fields (VCF) product provides a representation of global, per pixel, surface vegetation cover estimates. Designed to continuously represent Earth\u00bfs terrestrial surface as a proportion of basic vegetation traits, the data provide a gradation of three surface cover components: percent tree cover, percent non-tree cover, and percent non-vegetated (bare). The three components are each stored in separate layers so they can be used independently to look at a particular type of ground cover or collectively to look at the entire surface. VCF products provide a continuous, quantitative portrayal of land surface cover at 250 meter pixel resolution, and hence, are widely used in environmental modeling and monitoring applications.", "acquisitionStart": "2001-03-06", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MOD44B V6", "collectionLongName": "MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid Version 6", "datasetId": "5e83a61385ea7e14", "datasetAlias": "modis_mod44b_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:20:35.545847-05", "doiNumber": "https://doi.org/10.5067/modis/mod44b.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices (VI),Vegetation Continuous Fields (VCF),Normalized Difference Vegetation Index (NDVI),Land,Terra,Aqua,Enhanced Vegetation Index (EVI)", "legacyId": 14540, "sceneCount": 5820, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2000-03-05 00:00:00-06\",\"2019-03-06 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land/Water Mask (MOD44W) Version 6 data product is a global land/water mask derived from Terra MODIS. The data are available annually from 2000 to 2015. MOD44W Version 6 is derived using a decision tree classifier trained with MODIS data and validated with the Version 5 MOD44W data product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans. A primary improvement in Version 6 is the generation of time series data, rather than a simple static representation of water, given that water bodies fluctuate in size and location over time due to both natural and anthropogenic causes. Provided in each MOD44W Version 6 Hierarchical Data Format 4 (HDF4) file are layers for land, water, no data, and an associated per pixel quality assurance (QA) layer that provides users with information on the determination of water.", "acquisitionStart": "2000-01-01", "acquisitionEnd": "2014-01-01", "catalogs": ["EE"], "collectionName": "MODIS MOD44W V6", "collectionLongName": "MODIS/Terra Land Water Mask Derived from MODIS and SRTM L3 Yearly Global 250 m SIN Grid Version 6", "datasetId": "5e83dd8d33c8da1c", "datasetAlias": "modis_mod44w_v6", "datasetCategoryName": "MODIS Water Mask - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:17.830507-05", "doiNumber": "https://doi.org/10.5067/MODIS/MOD44W.006", "ingestFrequency": null, "keywords": "Surface Water,Terra,Land Water Mask,Moderate Resolution Imaging Spectroradiometer (MODIS)", "legacyId": 15284, "sceneCount": 0, "spatialBounds": {"north": 84.6009989548328, "east": 180.001, "south": -63.2009998957552, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11A1 V6", "collectionLongName": "MODIS/Aqua MYD11A1 Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN Version 6", "datasetId": "5e83ddab220817d0", "datasetAlias": "modis_myd11a1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:48.02713-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11A1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10687, "sceneCount": 2147619, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-03 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11A2 V6", "collectionLongName": "MODIS/Aqua MYD11A2 Land Surface Temperature & Emissivity 8-Day L3 Global 1km Grid SIN Version 6", "datasetId": "5e83dda3f166b439", "datasetAlias": "modis_myd11a2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:39.376546-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11A2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10688, "sceneCount": 271868, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11B1 V6", "collectionLongName": "MODIS/Aqua MYD11B1 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83ddd642125cb5", "datasetAlias": "modis_myd11b1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:30.222814-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11B1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10689, "sceneCount": 2149129, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-03 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11B2 V6", "collectionLongName": "MODIS/TERRA MYD11B2 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83ddaea8eae648", "datasetAlias": "modis_myd11b2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:50.78098-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11B2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 11202, "sceneCount": 271845, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11B3 V6", "collectionLongName": "MODIS/TERRA MYD11B3 Land Surface Temperature and Emissivity Daily L3 Global 5 km Grid SIN Version 6", "datasetId": "5e83ddb5e1d22b49", "datasetAlias": "modis_myd11b3_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:57.049148-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11B3.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 11203, "sceneCount": 71000, "spatialBounds": {"north": 90.0099977670822, "east": 180.01, "south": -90.0099977670822, "west": -180.01}, "temporalCoverage": "[\"2002-07-01 00:00:00-05\",\"2021-02-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11C1 V6", "collectionLongName": "MODIS/Aqua MYD11C1 Land Surface Temperature and Emissivity Daily L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83ddbd3ec36a29", "datasetAlias": "modis_myd11c1_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:05.8867-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11C1.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10690, "sceneCount": 6801, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-03 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11C2 V6", "collectionLongName": "MODIS/Aqua MYD11C2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83ddb2d54e9eaf", "datasetAlias": "modis_myd11c2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:17:54.071379-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11C2.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10691, "sceneCount": 858, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the Polar Regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11C3 V6", "collectionLongName": "MODIS/Aqua MYD11C3 Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83ddbb1f49f6ad", "datasetAlias": "modis_myd11c3_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:03.129037-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11C3.006", "ingestFrequency": "P1D", "keywords": "Terra,Aqua,Land Surface Reflectance,MODIS", "legacyId": 10692, "sceneCount": 224, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-01 00:00:00-05\",\"2021-02-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based global products. The MODIS/Aqua LST/E 5-Minute L2 Swath 1 kilometer data set is produced daily at 5-minute increments, and covers both daytime and nighttime acquisitions, including the polar regions.\r\nInformation on individual MODIS Land Surface Temperature and Emissivity Products along with improvements/changes for Version 6 is available at: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table\r\n", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD11_L2 V6", "collectionLongName": "MODIS/Aqua MYD11_L2 Land Surface Temperature and Emissivity 5-Minute L2 Swath 1 km Version 6", "datasetId": "5e83ddcbacf5868", "datasetAlias": "modis_myd11_l2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:20.845349-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD11_L2.006", "ingestFrequency": "P1D", "keywords": "Aqua,Land Surface Reflectance,Terra,MODIS", "legacyId": 10693, "sceneCount": 1663554, "spatialBounds": {"north": 87.9099931290003, "east": 180.01, "south": -88.204599709532, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-03-05 23:55:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13A1 V6", "collectionLongName": "MODIS/AQUA MYD13A1 Vegetation Indices 16-Day L3 Global 500m Version 6", "datasetId": "5e83ddc48e009a76", "datasetAlias": "modis_myd13a1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:12.600428-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13A1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10786, "sceneCount": 124753, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13A2 V6", "collectionLongName": "MODIS/AQUA MYD13A2 Vegetation Indices 16-Day L3 Global 1km Version 6", "datasetId": "5e83ddc018548245", "datasetAlias": "modis_myd13a2_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:08.816681-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13A2.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10787, "sceneCount": 124786, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13A3 V6", "collectionLongName": "MODIS/AQUA MYD13A3 Vegetation Indices Monthly L3 Global 1km Version 6", "datasetId": "5e83ddc7cfdc958a", "datasetAlias": "modis_myd13a3_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:15.576247-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13A3.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10788, "sceneCount": 64892, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-01 00:00:00-05\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13C1 V6", "collectionLongName": "MODIS/AQUA MYD13C1 Vegetation Indices 16-Day L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dddedf0511e9", "datasetAlias": "modis_myd13c1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:38.071371-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13C1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10789, "sceneCount": 429, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13C2 V6", "collectionLongName": "MODIS/AQUA MYD13C2 Vegetation Indices Monthly L3 Global 0.05Deg CMG Version 6", "datasetId": "5e83dde3daf15f22", "datasetAlias": "modis_myd13c2_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:43.714872-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13C2.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10790, "sceneCount": 223, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2002-07-01 00:00:00-05\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Vegetation Indices Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 2 primary vegetation layers. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. Information on each individual MODIS Vegetation Indices Product along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/modis_products_table.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD13Q1 V6", "collectionLongName": "MODIS/AQUA MYD13Q1 Vegetation Indices 16-Day L3 Global 250m Version 6", "datasetId": "5e83a631774a9d16", "datasetAlias": "modis_myd13q1_v6", "datasetCategoryName": "MODIS Vegetation Indices - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:21:05.8351-05", "doiNumber": "http://dx.doi.org/10.5067/MODIS/MYD13Q1.006", "ingestFrequency": "P1D", "keywords": "Land,Moderate Resolution Imaging Spectroradiometer (MODIS),Vegetation Indices\r\n ,Version 6", "legacyId": 10791, "sceneCount": 124797, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 500-meter resolution. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700nm) absorbed by the green elements of a vegetation canopy. Information on individual MODIS Land Surface Reflectance Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A7.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD15A2H V6", "collectionLongName": "MODIS/AQUA MYD15A2H Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 500 m Version 6", "datasetId": "5e83a5eed7393f10", "datasetAlias": "modis_myd15a2h_v6", "datasetCategoryName": "MODIS LAI/FPAR - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:19:58.386731-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYD15A2H.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer,MODIS,Leaf Area Index (LAI),Land,Fraction of Photosynthetically Active Radiation,FPAR", "legacyId": 10823, "sceneCount": 246512, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The MODIS Version 6 Evapotranspiration/Latent Heat Flux product is a composite product produced at 500 meter pixel resolution. The algorithm used for the Evapotranspiration product is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover. Provided in the product are layers for composited Evapotranspiration (ET), Latent Heat Flux (LE), Potential ET (PET) and Potential LE (PLE) along with a quality control layer. Information on individual MODIS GPP Products along with improvements/changes for Version 6 are available at: https://lpdaac.usgs.gov/dataset_discovery/?f%5B0%5D=im_field_product%3A428.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD16A2 V6", "collectionLongName": "MODIS/Aqua Net Evapotranspiration 8-Day L4 Global 500 m SIN Grid Version 6", "datasetId": "5e83dde77d34bdf5", "datasetAlias": "modis_myd16a2_v6", "datasetCategoryName": "MODIS Net Evapotranspiration - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:47.444605-05", "doiNumber": "https://doi.org/10.5067/modis/myd16a2.006", "ingestFrequency": "P1D", "keywords": "Terra,Vegetation,Aqua,Evapotranspiration,Moderate Resolution Imaging Spectroradiometer (MODIS),Photosynthesis,Primary Production,Latent Heat Flux", "legacyId": 14602, "sceneCount": 241348, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-10 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter pixel size based on the radiation-use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The data product includes information about Gross Primary Productivity (GPP) and Net Photosynthesis (PSN). The PSN band values are the GPP minus the Maintenance Respiration (MR). The data product also contains a PSN Quality Control layer. The quality layer contains quality information for both the GPP and the PSN. Information on individual MODIS GPP Products along with improvements/changes for Version 6 are available at:\r\nhttps://lpdaac.usgs.gov/dataset_discovery/?f[0]=im_field_dataset_version%3A32&f[1]=im_field_product%3A5.", "acquisitionStart": "2002-07-04", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD17A2H V6", "collectionLongName": "MODIS/AQUA MYD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6", "datasetId": "5e83a5f9f89d848", "datasetAlias": "modis_myd17a2h_v6", "datasetCategoryName": "MODIS Gross Primary Productivity - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:20:09.532909-05", "doiNumber": "https://dx.doi.org/10.5067/MODIS/MYD17A2H.006", "ingestFrequency": "P1D", "keywords": "Theme_Keyword: MODIS,Moderate Resolution Imaging Spectroradiometer,Land,PSN,MODIS,Gross Primary Productivity (GPP),Net Photosynthesis", "legacyId": 10942, "sceneCount": 246115, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "A new suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6. The MYD21 Land Surface Temperature (LST) algorithm differs from the algorithm of the MYD11 LST products, in that the MYD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions.", "acquisitionStart": "2019-02-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD21A1D V6", "collectionLongName": "MODIS/Aqua Land Surface Temperature/3-Band Emissivity Daily L3 Global 1 km SIN Grid Day Version 6", "datasetId": "5e83a5dfdd05a7d5", "datasetAlias": "modis_myd21a1d_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:19:43.547133-05", "doiNumber": "https://doi.org/10.5067/modis/MYD21A1D.006", "ingestFrequency": "P1D", "keywords": "Aqua,Emissivity,Moderate Resolution Imaging Spectroradiometer (MODIS),Land Surface Temperature (LST),Terra,Land Surface Temperature and Emissivity (LST&E)", "legacyId": 16524, "sceneCount": 1989292, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-01-31 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "A new suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6. The MYD21 Land Surface Temperature (LST) algorithm differs from the algorithm of the MYD11 LST products, in that the MYD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions.", "acquisitionStart": "2019-02-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD21A1N V6", "collectionLongName": "MODIS/Aqua Land Surface Temperature/3-Band Emissivity Daily L3 Global 1 km SIN Grid Night Version 6", "datasetId": "5e83a671eb264ee1", "datasetAlias": "modis_myd21a1n_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:22:09.844605-05", "doiNumber": "https://doi.org/10.5067/modis/MYD21A1N.006", "ingestFrequency": "P1D", "keywords": "Emissivity,Moderate Resolution Imaging Spectroradiometer (MODIS),Land Surface Temperature (LST),Terra,Aqua,Land Surface Temperature and Emissivity (LST&E)", "legacyId": 16525, "sceneCount": 1935911, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-01-31 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "A new suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6. The MYD21 Land Surface Temperature (LST) algorithm differs from the algorithm of the MYD11 LST products, in that the MYD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions.", "acquisitionStart": "2002-07-28", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD21A2 V6", "collectionLongName": "MODIS/Aqua Land Surface Temperature/3-Band Emissivity 8-Day L3 Global 1 km SIN Grid Version 6", "datasetId": "5e83ddef53cd81a3", "datasetAlias": "modis_myd21a2_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:55.153048-05", "doiNumber": "https://doi.org/10.5067/modis/MYD21A2.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer (MODIS),Land Surface Temperature (LST),Emissivity,Aqua,Terra,Land Surface Temperature and Emissivity (LST&E)", "legacyId": 16526, "sceneCount": 273422, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-01-25 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "A new suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6. The MYD21 Land Surface Temperature (LST) algorithm differs from the algorithm of the MYD11 LST products, in that the MYD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions.", "acquisitionStart": "2019-02-28", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "MODIS MYD21 V6", "collectionLongName": "MODIS/Aqua Land Surface Temperature/3-Band Emissivity 5-Min L2 1 km Version 6\n\n", "datasetId": "5e83ddeb7c503509", "datasetAlias": "modis_myd21_v6", "datasetCategoryName": "MODIS Land Surface Temp and Emiss - V6", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 19:18:51.776813-05", "doiNumber": "https://doi.org/10.5067/modis/MYD21.006", "ingestFrequency": "P1D", "keywords": "Moderate Resolution Imaging Spectroradiometer (MODIS),Emissivity,Land Surface Temperature (LST),Terra,Aqua,Land Surface Temperature and Emissivity (LST&E)", "legacyId": 16523, "sceneCount": 1528595, "spatialBounds": {"north": 87.9099931290003, "east": 180.01, "south": -88.204599709532, "west": -180.01}, "temporalCoverage": "[\"2002-07-04 00:00:00-05\",\"2021-01-31 17:55:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The first release of Shuttle Radar Topography Mission (SRTM) data was provided in 1-degree digital elevation model (DEM) tiles from the USGS 2003. The data was released continent by continent, as and when the data was processed by NASA and the USGS. For the United States, data was made available at 1-arc second resolution (approximately 30m at the equator), but for the rest of the world the 1-arc second product is degraded to 3-arc seconds (approximately 90m at the equator). SRTM elevation data has now been released for the entire terrestrial surface, and a Finished product has now been released.", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NASA SRTM3 SRTMGL1", "collectionLongName": "NASA Shuttle Radar Topography Mission (SRTM3) Global 1 arc-second", "datasetId": "5e83a3b51402798", "datasetAlias": "srtm_v3_srtmgl1", "datasetCategoryName": "NASA SRTM (SRTM 3) Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 15:10:30.005275-05", "doiNumber": "http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003", "ingestFrequency": "P1D", "keywords": "None,National Aeronautics and Space Administration (NASA),Image Map,Shuttle,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,Imagery,Radar,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 8660, "sceneCount": 14297, "spatialBounds": {"north": 60.0103, "east": 180.01, "south": -56.0103, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The first release of Shuttle Radar Topography Mission (SRTM) data was provided in 1-degree digital elevation model (DEM) tiles from the USGS 2003. The data was released continent by continent, as and when the data was processed by NASA and the USGS. For the United States, data was made available at 1-arc second resolution (approximately 30m at the equator), but for the rest of the world the 1-arc second product is degraded to 3-arc seconds (approximately 90m at the equator). SRTM elevation data has now been released for the entire terrestrial surface, and a Finished product has now been released.", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NASA SRTM3 SRTMGL3", "collectionLongName": "NASA Shuttle Radar Topography Mission (SRTM3) Global 3 arc-second", "datasetId": "5e83d84514f2036f", "datasetAlias": "srtm_v3_srtmgl3", "datasetCategoryName": "NASA SRTM (SRTM 3) Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:54:46.100218-05", "doiNumber": "http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3.003", "ingestFrequency": "P1D", "keywords": "None,National Aeronautics and Space Administration (NASA),Image Map,Shuttle,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,Imagery,Radar,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7060, "sceneCount": 14297, "spatialBounds": {"north": 60.0108, "east": 180.01, "south": -56.0108, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The first release of Shuttle Radar Topography Mission (SRTM) data was provided in 1-degree digital elevation model (DEM) tiles from the USGS 2003. The data was released continent by continent, as and when the data was processed by NASA and the USGS. For the United States, data was made available at 1-arc second resolution (approximately 30m at the equator), but for the rest of the world the 1-arc second product is degraded to 3-arc seconds (approximately 90m at the equator). SRTM elevation data has now been released for the entire terrestrial surface, and a Finished product has now been released.", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NASA SRTM3 SRTMGL30", "collectionLongName": "NASA Shuttle Radar Topography Mission (SRTM3) Global 30 arc-second", "datasetId": "5e83d83683f6a1c", "datasetAlias": "srtm_v3_srtmgl30", "datasetCategoryName": "NASA SRTM (SRTM 3) Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:54:30.904663-05", "doiNumber": "http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMGL30.002", "ingestFrequency": "P1D", "keywords": "None,National Aeronautics and Space Administration (NASA),Image Map,Shuttle,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,Imagery,Radar,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7000, "sceneCount": 28, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -60.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The first release of Shuttle Radar Topography Mission (SRTM) data was provided in 1-degree digital elevation model (DEM) tiles from the USGS 2003. The data was released continent by continent, as and when the data was processed by NASA and the USGS. For the United States, data was made available at 1-arc second resolution (approximately 30m at the equator), but for the rest of the world the 1-arc second product is degraded to 3-arc seconds (approximately 90m at the equator). SRTM elevation data has now been released for the entire terrestrial surface, and a Finished product has now been released.", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NASA SRTM3 SRTMGL3S", "collectionLongName": "NASA Shuttle Radar Topography Mission (SRTM3) Global 3 arc-second sub-sampled", "datasetId": "5e83d8287022738", "datasetAlias": "srtm_v3_srtmgl3s", "datasetCategoryName": "NASA SRTM (SRTM 3) Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:54:16.403698-05", "doiNumber": "http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3S.003", "ingestFrequency": "P1D", "keywords": "None,National Aeronautics and Space Administration (NASA),Image Map,Shuttle,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,Imagery,Radar,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 7080, "sceneCount": 14280, "spatialBounds": {"north": 60.0108, "east": 180.01, "south": -56.0108, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The first release of Shuttle Radar Topography Mission (SRTM) data was provided in 1-degree digital elevation model (DEM) tiles from the USGS 2003. The data was released continent by continent, as and when the data was processed by NASA and the USGS. For the United States, data was made available at 1-arc second resolution (approximately 30m at the equator), but for the rest of the world the 1-arc second product is degraded to 3-arc seconds (approximately 90m at the equator). SRTM elevation data has now been released for the entire terrestrial surface, and a Finished product has now been released.", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "NASA SRTM3 SRTMSWBD", "collectionLongName": "NASA Shuttle Radar Topography Mission (SRTM3) Water Body Shapefiles and Raster Files", "datasetId": "5e83d7e6684653a5", "datasetAlias": "srtm_v3_srtmswbd", "datasetCategoryName": "NASA SRTM (SRTM 3) Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:53:10.37677-05", "doiNumber": "http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMSWBD.003", "ingestFrequency": "P1D", "keywords": "None,National Aeronautics and Space Administration (NASA),Image Map,Shuttle,U.S. Geological Survey (USGS) ,Earth Resources Observation and Science (EROS) Center,Imagery,Radar,ISO 19115 Topic Category,010,imageryBaseMapsEarthCover", "legacyId": 6981, "sceneCount": 12229, "spatialBounds": {"north": 60.0103, "east": 180.01, "south": -56.0103, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The National Atlas contributes to our knowledge of the environmental, resource, demographic, economic, social, political, and historical dimensions of American life. It includes products and services designed to stimulate children and adults to visualize and understand complex relationships between environments, places, and people. Unlike the previous Atlas, this version is largely in digital format. With a web browser and Internet connection, users are able to make their own personal maps. Multimedia and printed maps, as well as metadata and scientific articles are also available. ", "acquisitionStart": "1999-02-11", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "National Atlas", "collectionLongName": "National Atlas - Small scale maps of the United States: Published 1997-2014", "datasetId": "5e83a3a65bcf4eec", "datasetAlias": "nationalatlas", "datasetCategoryName": "Digital Maps", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:10:14.615177-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "none,Indian reservations,Census,Boundaries,Arsenic,Airports,Amphibians,Aquifers,Agriculture,Abandoned mines,Bat ranges,Butterflies,Cities,Hydrologic units,Hurricanes,Federal lands,Earthquakes,Dams,Cyclones,Crimes,Continental Divide,Coalfields,Invasive plants", "legacyId": 2251, "sceneCount": 624, "spatialBounds": {"north": 72.01, "east": -65.99, "south": 9.99, "west": -160.01}, "temporalCoverage": "[\"1998-01-01 00:00:00-06\",\"2015-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-09-15", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Negev, Southern Israel", "collectionLongName": "Calibration Validation Reference Sites - Negev, Southern Israel", "datasetId": "5e83ddfbbbca1657", "datasetAlias": "calval_is_negev_israel", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:19:07.775616-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Topography,90-meter resolution- 3 arc second of the world,Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Mapping,Shuttle Radar Topography Mission (SRTM),Elevation", "legacyId": 4493, "sceneCount": 1263, "spatialBounds": {"north": 31.6435514600698, "east": 36.5446694860218, "south": 28.4770213494552, "west": 33.6539118959293}, "temporalCoverage": "[\"1972-09-15 07:42:42-05\",\"2020-05-28 07:44:11-05\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-08-09", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Railroad Valley Playa, USA", "collectionLongName": "Calibration Validation Reference Sites - Railroad Valley Playa, USA", "datasetId": "5e83ddff8a9b8657", "datasetAlias": "calval_is_railroad_valley", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:19:11.726561-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4494, "sceneCount": 2085, "spatialBounds": {"north": 40.1090096210101, "east": -114.045720717314, "south": 33.1178716522452, "west": -117.277238211639}, "temporalCoverage": "[\"1972-08-27 17:54:05-05\",\"2021-03-01 17:35:04-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "The Sentinel-2A satellite is operated by the European Space Agency (ESA). The Sentinel Multispectral Instrument (MSI) acquires 13 spectral bands ranging from Visible and Near-Infrared (VNIR) to Shortwave Infrared (SWIR) wavelengths along a 290-km orbital swath. The MSI data are complementary to data acquired by the Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). The satellite operates in a sun-synchronous orbit with a 10-day repeat cycle. A collaborative effort between ESA and the U.S. Geological Survey (USGS) provides another data portal for Sentinel-2 data products.", "acquisitionStart": "2015-07-04", "acquisitionEnd": null, "catalogs": ["EE", "GV"], "collectionName": "Sentinel-2", "collectionLongName": "European Space Agency Sentinel 2", "datasetId": "5e83a42ca9977c30", "datasetAlias": "sentinel_2a", "datasetCategoryName": "Sentinel", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:12:28.865978-05", "doiNumber": "https://doi.org/10.5066/F76W992G", "ingestFrequency": "P1D", "keywords": "None,Imagery,European Space Agency (ESA),Spectral Bands,Visible,Near Infrared,Short Wave Infrared (SWIR),Reflectance,Top-of-Atmosphere (TOA),U.S. Military Grid Reference System,Level-1C,Copernicus,European Commission,Multi-Spectral Instrument,Sentinel-2,Satellite,Remote Sensing,U.S. Geological Survey (USGS),ISO 19115 Category,imageryBaseMapsEarthCover", "legacyId": 10880, "sceneCount": 12243104, "spatialBounds": {"north": 83.7583450348868, "east": 180.01, "south": -97.6788797290394, "west": -180.01}, "temporalCoverage": "[\"2015-06-27 00:00:00-05\",\"2021-02-17 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "Spaceborne Imaging Radar-C (SIR-C) is part of an imaging radar system that was flown on board two Space Shuttle flights (9 - 20 April, 1994 and 30 September - 11 October, 1994). The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center distributes the C-band (5.8 cm) and L-band (23.5 cm) Precision (Standard) Data. All X-band (3 cm) data is distributed by DLR (http://www.op.dlr.de/ne-hf/SRL.html)\r\n\r\nPrecision (Standard) Data consists of a frame image of a data segment, which represents a processed subset of the data swath. It contains high-resolution multifrequency and multipolarization data.\r\n\r\nA total of about 50 hours of data, corresponding to roughly 50 million square kilometers of ground coverage, was collected during each mission. The ground swath width varies from 15 to 90 kilometers depending on the imaging mode and incidence angles of the radar beams. Additional information on SIR-C is available at: http://southport.jpl.nasa.gov.\r\n", "acquisitionStart": "1994-04-09", "acquisitionEnd": "1994-10-11", "catalogs": ["EE"], "collectionName": "SIR-C", "collectionLongName": "Spaceborne Imaging Radar C-band: 1994", "datasetId": "5e83d66466789e23", "datasetAlias": "sirc", "datasetCategoryName": "Radar", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:46:46.118893-05", "doiNumber": "https://doi.org/10.5066/F7GM86K9", "ingestFrequency": null, "keywords": "None,Radar,Sir-c,SIR-C,L-Band,C-Band,Spaceborne,Imagery,Precision,Multi-Look,Standard,Reformatted,Interferometry,Single-Look,Survey,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 2651, "sceneCount": 0, "spatialBounds": {"north": 60.4499989949178, "east": 180.001, "south": -58.5189999852158, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "Spaceborne Imaging Radar-C (SIR-C) was part of an imaging radar system that was flown on board two Space Shuttle flights (9 - 20 April, 1994 and 30 September - 11 October, 1994). The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center distributes the C-band (5.8 cm) and L-band (23.5 cm) Survey Data. \r\n\r\nA total of about 50 hours of data, corresponding to roughly 50 million square kilometers of ground coverage, were collected during each mission. The ground swath width varies from 15 to 90 kilometers depending on the imaging mode and incidence angles of the radar beams. \r\n\r\nAll science data were processed into Survey products. The Survey product is intended as a \"quick look\" browsing tool for viewing the areas imaged by SIR-C. This product is not designed to be used for quantitative scientific analysis. Survey Data consists of a frame image of a data segment, which represents a subset of the data swath. Resolution is approximately 100 meters, processed to a 50-meter pixel spacing. Additional information on SIR-C is available at: http://southport.jpl.nasa.gov.", "acquisitionStart": "1994-04-10", "acquisitionEnd": "1994-10-10", "catalogs": ["EE"], "collectionName": "SIR-C Survey", "collectionLongName": "Shuttle Imaging Radar Survey Mission C", "datasetId": "5e83d679cda6907a", "datasetAlias": "sirc_survey", "datasetCategoryName": "Radar", "dataOwner": "DMID", "dateUpdated": "2020-03-31 18:47:05.48895-05", "doiNumber": "https://doi.org/10.5066/P9AMQRHH", "ingestFrequency": null, "keywords": "None,Interferometry,Radar,SIR-C,Spaceborne,Imagery,Multi-Look,L-Band,Single-Look,Survey,C-Band,ISO 19115 Topic Category,imageryBaseMapsEarthCover", "legacyId": 11753, "sceneCount": 0, "spatialBounds": {"north": 60.6639997849802, "east": 180.001, "south": -59.033, "west": -180.001}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "SPOT Controlled Image Base 10 meter (CIB-10) is a collection of orthorectified panchromatic (grayscale) images. The data were acquired between 1986 and 1993 by the French space agency, Centre National d'Etudes Spatiales (CNES), which owns and operates the SPOT satellite system. The panchromatic images were orthorectified using NGA Digital Terrain Elevation Data Level 1 to remove image distortion and obtain the geometric qualities of a map. \r\n\r\nThe satellite image mosaic products cover large areas of the United States, Europe, Middle East, Southeast Asia, North and South Korea, Central America, western Russia, and other smaller areas around the globe. The coverage map in EarthExplorer shows the extent of available data.\r\n", "acquisitionStart": "1986-03-02", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "SPOT CIB-10", "collectionLongName": "SPOT Controlled Image Base 10 meter", "datasetId": "5e83a41e53bf4bd4", "datasetAlias": "spot_cib", "datasetCategoryName": "SPOT - Historical", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:12:14.734714-05", "doiNumber": "https://doi.org/10.5066/F7DB809V", "ingestFrequency": "P1D", "keywords": "None,Satellite,Remote Sensing,Imagery,Panchromatic Mode,SPOT Image Corporation,SPOT,U.S. Geological Survey (USGS),Dual Mode,SPOT CIB-10,Centre National d'Etudes Spatiales (CNES)", "legacyId": 10040, "sceneCount": 2395, "spatialBounds": {"north": 72.01, "east": 164.0101808, "south": -8.0100899, "west": -158.01}, "temporalCoverage": "[\"1986-03-02 00:00:00-06\",\"1993-11-04 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) was a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute SRTM elevation products derived from the C-band radar data. SRTM utilized interferometric C-band Spaceborne Imaging Radar to generate elevation data over 80 percent of the Earth's land surface. \r\n \r\nGlobal SRTM data at a resolution of 1 arc-second have been edited to delineate and flatten water bodies, better define coastlines, remove spikes and wells, and fill small voids. Larger areas of missing data or voids were filled by the NGA using interpolation algorithms in conjunction with other sources of elevation data. The SRTM 1 Arc-Second Global data offer worldwide coverage of void filled data at a resolution of 1 arc-second (30 meters) and provide open distribution of this high-resolution global data set. \r\n\r\n\r\n\r\n", "acquisitionStart": "2000-02-11", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "SRTM 1 Arc-Second Global", "collectionLongName": "Shuttle Radar Topography Mission 1 Arc-Second Digital Terrain Elevation Data - Global", "datasetId": "5e83a3ee1af480c5", "datasetAlias": "srtm_v3", "datasetCategoryName": "SRTM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:11:27.055621-05", "doiNumber": "https://doi.org/10.5066/F7PR7TFT", "ingestFrequency": "P1D", "keywords": "None,30 meter,Global,Shuttle Radar Topography Mission (SRTM),National Geospatial-Intelligence Agency (NGA),National Aeronautics and Space Administration (NASA,Digital Terrain Elevation Data (DTED),Imaging Radar,Topography,Mapping,Elevation,C-band", "legacyId": 8360, "sceneCount": 14277, "spatialBounds": {"north": 60.01, "east": 180.01, "south": -56.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) was a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute SRTM elevation products derived from the C-band radar data. SRTM utilized interferomic C-band Spaceborne Imaging Radar to generate elevation data over 80 percent of the Earth's land surface.\r\n\r\nThe SRTM collection has been edited to delineate and flatten water bodies, better define coastlines, remove spikes and wells, and fill small voids.", "acquisitionStart": "2002-02-01", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "SRTM Non-Void Filled", "collectionLongName": "Shuttle Radar Topography Mission 1 Arc and 3 Arc Second Digital Terrain Elevation Data", "datasetId": "5e83a40be48d1076", "datasetAlias": "srtm", "datasetCategoryName": "SRTM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:11:55.888559-05", "doiNumber": "https://doi.org/10.5066/F7K072R7", "ingestFrequency": "P1D", "keywords": "None,Digital Terrain Elevation Data (DTED),C-band,Elevation,National Geospatial-Intelligence Agency (NGA),Topography,Mapping,Interferometry,National Aeronautics and Space Administration (NASA),Shuttle Radar Topography Mission (SRTM),Imaging Radar", "legacyId": 3191, "sceneCount": 15416, "spatialBounds": {"north": 60.01, "east": 180.01, "south": -56.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) was a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute SRTM elevation products derived from the C-band radar data. SRTM utilized interferomic C-band Spaceborne Imaging Radar to generate elevation data over 80 percent of the Earth's land surface. \r\n\r\nThe SRTM collection was edited to delineate and flatten water bodies, better define coastlines, remove spikes and wells, and fill small voids. Since some areas of missing data or voids were still present in the SRTM collection, the NGA filled the voids using interpolation algorithms in conjunction with other sources of elevation data. The SRTM Void Filled data set are the result of this additional processing. ", "acquisitionStart": "2002-02-01", "acquisitionEnd": null, "catalogs": ["EE", "GV"], "collectionName": "SRTM Void Filled", "collectionLongName": "SRTM Void Filled - Shuttle Radar Topography Mission 1 Arc and 3 Arc-Second Digital Terrain Elevation Data - Void Filled: Published 2012", "datasetId": "5e83a43c37d31d83", "datasetAlias": "srtm_v2", "datasetCategoryName": "SRTM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:12:44.330244-05", "doiNumber": "https://doi.org/10.5066/F7F76B1X", "ingestFrequency": "P1D", "keywords": "None,Imaging Radar,Shuttle Radar Topography Mission (SRTM),National Geospatial-Intelligence Agency (NGA),C-band,Elevation,Mapping,Topography,Digital Terrain Elevation Data (DTED),NASA", "legacyId": 4960, "sceneCount": 15417, "spatialBounds": {"north": 60.01, "east": 180.01, "south": -56.01, "west": -180.01}, "temporalCoverage": "[\"2000-02-11 00:00:00-06\",\"2000-02-11 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The SRTM Water Body Data files are a by-product of the data editing performed by the National Geospatial-Intelligence Agency (NGA) to produce the finished SRTM Digital Terrain Elevation Data Level 2 (DTED® 2). In accordance with the DTED® 2 specification, the terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. After this processing was done, the shorelines from the one arc second (approx. 30-meter) DTED® 2 were saved as vectors in ESRI 3-D Shapefile format.\r\n\r\n", "acquisitionStart": "2002-02-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "SRTM Water Body Data", "collectionLongName": "SRTM Water Body Data - Shuttle Radar Topography Mission Water Body Data Shapefiles: Published 2002", "datasetId": "5e83a4bf27db5a7f", "datasetAlias": "srtm_water_bodies", "datasetCategoryName": "SRTM", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:14:56.030568-05", "doiNumber": "https://doi.org/10.5066/F79G5K8R", "ingestFrequency": "P1D", "keywords": "None,Shuttle Radar Topography Mission (SRTM),Elevation,Water Layer,National Geospatial-Intelligence Agency (NGA),National Imagery and Mapping Agency,Imaging Radar,Shapefile,Interferometry", "legacyId": 3351, "sceneCount": 12229, "spatialBounds": {"north": 60.01, "east": 180.01, "south": -56.01, "west": -180.01}, "temporalCoverage": "[\"2002-02-01 00:00:00-06\",\"2002-02-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Shuttle Radar Topography Mission (SRTM) is a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute the C-band data. SRTM utilized dual Spaceborne Imaging Radar (SIR-C) and dual X-band Synthetic Aperture Radar (X-SAR) configured as a baseline interferometer to successfully collect data over 80 per cent of the Earth's land surface, everything between 60 degrees North and 56 degrees South latitude.\r\nGroups of scientists have worked on algorithms to fill the voids of the original SRTM data. Two datasets offer global coverage void-filled SRTM data at full resolution quality assessment. The void-filled SRTM data from are high quality at full SRTM resolution, but coverage is limited to areas of high mountain void incidence, and some areas north of 60 degrees of latitude.\r\n", "acquisitionStart": "1972-10-06", "acquisitionEnd": null, "catalogs": ["EE", "CWIC"], "collectionName": "Tuz Golu, Turkey", "collectionLongName": "Calibration Validation Reference Sites - Tuz Golu, Turkey", "datasetId": "5e83db4a6bbdf278", "datasetAlias": "calval_is_tuzgolu_turkey", "datasetCategoryName": "Instrumented Sites", "dataOwner": "DMID", "dateUpdated": "2020-03-31 19:07:38.292675-05", "doiNumber": null, "ingestFrequency": "P1D", "keywords": "Digital Terrain Elevation Data (DTED),National Aeronautics and Space Administration (NASA),National Geospatial-Intelligence Agency (NGA),Shuttle Radar Topography Mission (SRTM),Topography,90-meter resolution- 3 arc second of the world,Mapping,Elevation", "legacyId": 4495, "sceneCount": 2224, "spatialBounds": {"north": 40.01, "east": 35.8117574339101, "south": 37.6838967097303, "west": 30.6855835565668}, "temporalCoverage": "[\"1972-10-06 07:57:31-05\",\"2021-03-01 07:41:47-06\"]", "supportCloudCover": true, "supportDeletionSearch": false}, {"abstractText": "A Fiducial site is a geographic location that is used as a benchmark for the long-term monitoring of processes, both natural and anthropogenic, associated with the causes and effects of global environmental change. The word fiducial carries multiple meanings with regard to the GFL. Fiducials are marks or points of reference applied to images to present a fixed standard of reference, so in the GFL they refer to the identification of a place on the Earth. The term fiducial may also be interpreted to refer to a long-term trust, where one may be holding something in trust for another. Both references aptly apply, as the GFL maintains a long-term record of data over specific places on the Earth to be available for scientific investigations. Fiducial sites are associated with Earth processes and environmentally sensitive areas that are being monitored so that scientists can better understand and model the dynamic systems and changes that are occurring. The sites are located around the globe and are distributed among environmental topics and processes within five major disciplines: Ocean Processes; Ice and Snow Dynamics; Atmospheric Processes; Land Use/Land Cover; and Geologic Processes. ", "acquisitionStart": "1999-03-25", "acquisitionEnd": "2009-09-12", "catalogs": ["EE"], "collectionName": "USGS Global Fiducials", "collectionLongName": "USGS Global Fiducials Library: 1999-2009", "datasetId": "5e83a3d5c67dccc9", "datasetAlias": "global_fiducial", "datasetCategoryName": "Global Fiducials", "dataOwner": "DMID", "dateUpdated": "2020-03-31 15:11:01.334904-05", "doiNumber": "https://doi.org/10.5066/F7BK1B94", "ingestFrequency": null, "keywords": "Ice,Climate,U.S. National Imagery Systems,Global Fiducials Library (GFL),Remotely Sensed Imagery,Satellite Imagery,Time Series,Climate Change,Atmosphere,Ocean,Land Use,Geology,Snow", "legacyId": 4246, "sceneCount": 0, "spatialBounds": {"north": 85.196583, "east": 151.367164, "south": 18.259374, "west": -170.515869}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Analysis Ready Data (ARD) Landsat Level-2 Tiles consist of surface reflectance (SR), surface temperature (ST), top of atmosphere (TA) reflectance, brightness temperature (BT), and quality assessment (QA)) data that are consistently processed using per pixel solar zenith angle corrections, gridded to a common cartographic projection, and accompanied by appropriate metadata to enable further processing while retaining traceability of data provenance. Subsequently, numerous products are derived from ARD that are used as direct inputs to monitoring and assessment activities, including maps of land cover and land cover change, spectral indices, temporal composites, and higher-level science products such as burned area, dynamic surface water extent, and fractional snow covered area.\r\nLandsat ARD are generated in the Albers Equal Area Conic (AEA) for conterminous U.S. and Hawaii map projection. Alaska is generated to Alaska Albers map projection. They are processed directly from Level-1 AEA scenes through Level-2 products using the World Geodetic System 1984 (WGS84) datum. The products cover the conterminous United States (CONUS), Alaska, and Hawaii.\r\n", "acquisitionStart": "1982-11-24", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "U.S. Landsat 4-8 ARD", "collectionLongName": "U.S. Landsat 4-8 Analysis Ready Data (ARD) Level-2 Tiles (Albers projection)", "datasetId": "5e83a38b677b457d", "datasetAlias": "ard_tile", "datasetCategoryName": "Landsat C1 Analysis Ready Data (ARD)", "dataOwner": "LSAA", "dateUpdated": "2020-03-31 15:09:47.168348-05", "doiNumber": "https://doi.org/10.5066/F7319TSJ", "ingestFrequency": "P1D", "keywords": "Earth Resources Observation and Science (EROS) Center,Remote Sensing,Satellite,U.S. Geological Survey (USGS),Climate Data Record,Visible Wavelengths,Visible Imagery,Imagery ,Earth Science,Surface Reflectance,Infrared Imagery,Infrared Wavelengths,Radiance,Surface Temperature,Level-2 Albers Identifier,Quality Assessment,Brightness Temperature,Top of Atmosphere Reflectance,NGDA Portfolio Themes,Land Use Land Cover Theme,National Geospatial Data Asset,ISO 19115 Topic Category,ImageryBaseMapsEarthCover", "legacyId": 14320, "sceneCount": 1628640, "spatialBounds": {"north": 72.3004774171, "east": -64.4304818031, "south": 18.5125418159, "west": -174.811305636}, "temporalCoverage": "[\"1982-11-11 00:00:00-06\",\"2021-02-08 00:00:00-06\"]", "supportCloudCover": true, "supportDeletionSearch": true}, {"abstractText": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Vegetation Continuous Fields (VCF) Version 1 data product (VCF5KYR) provides global fractional vegetation cover at 0.05 degree (5,600 meter) spatial resolution at yearly intervals from 1982 to 2016. The VCF5KYR data product is derived from a bagged linear model algorithm using Long Term Data Record Version 4 (LTDR V4) data compiled from Advanced Very High Resolution Radiometer (AVHRR) observations. Fractional vegetation cover (FVC) is the ratio of the area of the vertical projection of green vegetation above ground to the total area, capturing the horizontal distribution and density of vegetation on the Earth's surface. FVC is a primary means for measuring global forest cover change and is a key parameter for a variety of environmental and climate-related applications, including carbon land surface models and biomass measurements. The three bands included in each VCF5KYR Version 1 GeoTIFF are: percent of tree cover, non-tree vegetation, and bare ground. Additional information concerning these datasets can be found at: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table.", "acquisitionStart": "1982-01-01", "acquisitionEnd": "2016-01-01", "catalogs": ["EE"], "collectionName": "VCF5KYR", "collectionLongName": "MEaSUREs Vegetation Continuous Fields (VCF) Yearly Global 0.05 Deg Version 1", "datasetId": "5e83d6309e29ff6c", "datasetAlias": "measures_vcf_vcf5kyr", "datasetCategoryName": "VCF Collections", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:45:52.82648-05", "doiNumber": "https://doi.org/10.5067/MEaSUREs/VCF/VCF5KYR.001", "ingestFrequency": null, "keywords": "National Aeronautics and Space Administration (NASA),Advanced Very High Resolution Radiometer (AVHRR),Vegetation Continuous Fields (VCF),Bare ground,Non-tree vegetation,Fractional Vegetation Cover (FVC),Tree Cover,Making Earth System Data Records for Use in Research Environments (MEaSUREs)", "legacyId": 15840, "sceneCount": 0, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": null, "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance Version 1 products provide an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.", "acquisitionStart": "2014-08-21", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP09A1", "collectionLongName": "VIIRS/VNP Surface Reflectance 8-Day L3 Global 1km SIN Grid", "datasetId": "5e83d615f55ec434", "datasetAlias": "viirs_vnp09a1", "datasetCategoryName": "VIIRS Surface Reflectance ", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:45:25.469135-05", "doiNumber": "http://dx.doi.org/10.5067/VIIRS/VNP09A1.001", "ingestFrequency": "P1D", "keywords": "Surface Reflectance,Land Processes Distributed Active Archive Center (LP DAAC),National Aeronautics and Space Administration (NASA),Visible Infrared Imaging Radiometer Suite (VIIRS),Suomi National Polar-Orbiting Partnership (S-NPP)", "legacyId": 14041, "sceneCount": 119833, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance Version 1 products provide an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.", "acquisitionStart": "2014-08-30", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP09CMG", "collectionLongName": "VIIRS/VNP Surface Reflectance Daily L3 Global 0.05 Deg CMG", "datasetId": "5e83d608fd032544", "datasetAlias": "viirs_vnp09cmg", "datasetCategoryName": "VIIRS Surface Reflectance ", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:45:12.997722-05", "doiNumber": "http://dx.doi.org/10.5067/VIIRS/VNP09CMG.001", "ingestFrequency": "P1D", "keywords": "Surface Reflectance,Land Processes Distributed Active Archive Center (LP DAAC),National Aeronautics and Space Administration (NASA),Visible Infrared Imaging Radiometer Suite (VIIRS),Suomi National Polar-Orbiting Partnership (S-NPP)", "legacyId": 14042, "sceneCount": 3333, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2012-01-19 00:00:00-06\",\"2021-03-05 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance Version 1 products provide an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.", "acquisitionStart": "2014-08-26", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP09GA", "collectionLongName": "VIIRS/VNP Surface Reflectance Daily L2G Global 1km and 500m SIN Grid", "datasetId": "5e83d5e0abc1ed80", "datasetAlias": "viirs_vnp09ga", "datasetCategoryName": "VIIRS Surface Reflectance ", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:44:32.769629-05", "doiNumber": "http://dx.doi.org/10.5067/VIIRS/VNP09GA.001", "ingestFrequency": "P1D", "keywords": "Surface Reflectance,Land Processes Distributed Active Archive Center (LP DAAC),National Aeronautics and Space Administration (NASA),Visible Infrared Imaging Radiometer Suite (VIIRS),Suomi National Polar-Orbiting Partnership (S-NPP)", "legacyId": 14960, "sceneCount": 1082970, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -84.6099895483277, "west": -180.01}, "temporalCoverage": "[\"2012-01-19 00:00:00-06\",\"2021-03-07 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance Version 1 products provide an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.", "acquisitionStart": "2014-08-21", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP09H1", "collectionLongName": "VIIRS/VNP Surface Reflectance 8-Day L3 Global 500m SIN Grid", "datasetId": "5e83d5fb5d411ac2", "datasetAlias": "viirs_vnp09h1", "datasetCategoryName": "VIIRS Surface Reflectance ", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:44:59.551199-05", "doiNumber": "http://dx.doi.org/10.5067/VIIRS/VNP09H1.001", "ingestFrequency": "P1D", "keywords": "Surface Reflectance,Land Processes Distributed Active Archive Center (LP DAAC),National Aeronautics and Space Administration (NASA),Visible Infrared Imaging Radiometer Suite (VIIRS),Suomi National Polar-Orbiting Partnership (S-NPP)", "legacyId": 14044, "sceneCount": 119548, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2012-01-17", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP13A1", "collectionLongName": "VIIRS/NPP Vegetation Indices 16-Day L3 Global 500 m SIN Grid", "datasetId": "5e83d5bd41c27ad7", "datasetAlias": "viirs_vnp13a1", "datasetCategoryName": "VIIRS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:43:57.63588-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP13A1.001", "ingestFrequency": "P1D", "keywords": "Vegetation Indices (VI),National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Visible Infrared Imaging Radiometer Suite (VIIRS),Normalized Difference Vegetation Index (NDVI),Enhanced Vegetation Index (EVI),Enhanced Vegetation Index-2 (EVI2),National Oceanic and Atmospheric Administration (NOAA)", "legacyId": 16480, "sceneCount": 119832, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2012-01-17", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP13A2", "collectionLongName": "VIIRS/NPP Vegetation Indices 16-Day L3 Global 1 km SIN Grid", "datasetId": "5e83d622701a6a50", "datasetAlias": "viirs_vnp13a2", "datasetCategoryName": "VIIRS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:45:38.744498-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP13A2.001", "ingestFrequency": "P1D", "keywords": "Visible Infrared Imaging Radiometer Suite (VIIRS),National Aeronautics and Space Administration (NASA),Enhanced Vegetation Index (EVI),Enhanced Vegetation Index-2 (EVI2),Vegetation Indices (VI),Normalized Difference Vegetation Index (NDVI),Suomi National Polar-Orbiting Partnership (S-NPP),National Oceanic and Atmospheric Administration (NOAA)", "legacyId": 16481, "sceneCount": 119832, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2012-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP13A3", "collectionLongName": "VIIRS/NPP Vegetation Indices Monthly L3 Global 1 km SIN Grid", "datasetId": "5e83d5acf1b0fa60", "datasetAlias": "viirs_vnp13a3", "datasetCategoryName": "VIIRS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:43:40.716904-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP13A3.001", "ingestFrequency": "P1D", "keywords": "Enhanced Vegetation Index-2 (EVI2),National Oceanic and Atmospheric Administration (NOAA),Vegetation Indices (VI),Normalized Difference Vegetation Index (NDVI),Enhanced Vegetation Index (EVI),National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Visible Infrared Imaging Radiometer Suite (VIIRS)", "legacyId": 16482, "sceneCount": 31174, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-01 00:00:00-06\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2012-01-17", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP13C1", "collectionLongName": "VIIRS/NPP Vegetation Indices 16-Day L3 Global 0.05 Deg CMG", "datasetId": "5e83d59fc0f0a43e", "datasetAlias": "viirs_vnp13c1", "datasetCategoryName": "VIIRS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:43:27.304603-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP13C1.001", "ingestFrequency": "P1D", "keywords": "Enhanced Vegetation Index-2 (EVI2),National Oceanic and Atmospheric Administration (NOAA),Vegetation Indices (VI),Normalized Difference Vegetation Index (NDVI),Enhanced Vegetation Index (EVI),National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Visible Infrared Imaging Radiometer Suite (VIIRS)", "legacyId": 16483, "sceneCount": 419, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2012-01-01", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP13C2", "collectionLongName": "VIIRS/NPP Vegetation Indices Monthly L3 Global 0.05 Deg CMG", "datasetId": "5e83d591d9d9c573", "datasetAlias": "viirs_vnp13c2", "datasetCategoryName": "VIIRS Vegetation Indices", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:43:13.521596-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP13C2.001", "ingestFrequency": "P1D", "keywords": "Enhanced Vegetation Index-2 (EVI2),National Oceanic and Atmospheric Administration (NOAA),Vegetation Indices (VI),Normalized Difference Vegetation Index (NDVI),Enhanced Vegetation Index (EVI),National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Visible Infrared Imaging Radiometer Suite (VIIRS)", "legacyId": 16484, "sceneCount": 109, "spatialBounds": {"north": 90.01, "east": 180.01, "south": -90.01, "west": -180.01}, "temporalCoverage": "[\"2012-01-01 00:00:00-06\",\"2021-01-01 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VI) Version 1 data products characterize land surface vegetation and related parameters. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. These products are designed to enhance the vegetation reflected signal from measured spectral responses by making use of the distinctive soil-vegetation characteristic in the red-edge area of the spectrum. Vegetation indices combine two or more spectral bands in the red (0.6 - 0.7 micrometer), NIR wavelengths (0.7-1.1 micrometer), and Blue (0.44-0.5 micrometer) regions. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). These products inform us about the status of vegetation health during the growing season and as it changes in response to environmental, climate, and anthropogenic drivers.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS Vegetation Index (VI) product suite.\r\n", "acquisitionStart": "2017-12-02", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP14A1", "collectionLongName": "VIIRS/NPP Thermal Anomalies/Fire Daily L3 Global 1 km SIN Grid", "datasetId": "5e83d584ea68d2eb", "datasetAlias": "viirs_vnp14a1", "datasetCategoryName": "VIIRS Thermal Anomalies and Fire", "dataOwner": "LPDAAC", "dateUpdated": "2020-03-31 18:43:00.987691-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP14A1.001", "ingestFrequency": "P1D", "keywords": "Vegetation Indices (VI),National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Visible Infrared Imaging Radiometer Suite (VIIRS),Normalized Difference Vegetation Index (NDVI),Enhanced Vegetation Index (EVI),Enhanced Vegetation Index-2 (EVI2),National Oceanic and Atmospheric Administration (NOAA)", "legacyId": 17780, "sceneCount": 986758, "spatialBounds": {"north": 84.6099895483277, "east": 321.576097924506, "south": -84.576689285564, "west": -180.01}, "temporalCoverage": "[\"2012-01-19 00:00:00-06\",\"2021-03-07 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The Visible Infrared Imaging Radiometer Suite (VIIRS)/Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 1 data product provides information about the vegetative canopy layer at 500 meter resolution (VNP15A2H). The VIIRS sensor is located onboard the NOAA/NASA joint Suomi National Polar-Orbiting Partnership (S-NPP) satellite. LAI is an index that quantifies the one-sided leaf area of a canopy, while FPAR is the fraction of incoming solar energy absorbed through photosynthesis at 400 to 700 nanometers. This product is intentionally designed after the Terra and Aqua MODIS LAI/FPAR operational algorithm to promote the continuity of the Earth Observation System (EOS) mission.\r\n\r\nThe VNP15A2H product includes six Science Data Set Layers for the analysis of key factors in LAI/FPAR measurements. These include the LAI and FPAR measurements, quality detail for LAI/FPAR, extra quality detail for FPAR, and the standard deviation for LAI and FPAR. Two low resolution browse images are also available for each VNP15A2H granule: (1) LAI and (2) FPAR.\r\n\r\nValidation at stage 1 has been achieved for the VIIRS LAI/FPAR products.\r\n", "acquisitionStart": "2018-12-03", "acquisitionEnd": null, "catalogs": ["EE"], "collectionName": "VIIRS VNP15A2H", "collectionLongName": "VIIRS/NPP Leaf Area Index/FPAR 8-Day L4 Global 500 m SIN Grid", "datasetId": "5e83d57821c631b6", "datasetAlias": "viirs_vnp15a2h", "datasetCategoryName": "VIIRS LAI/FPAR", "dataOwner": "LPDAAC", "dateUpdated": "2020-07-14 07:54:11.069262-05", "doiNumber": "https://doi.org/10.5067/VIIRS/VNP15A2H.001", "ingestFrequency": "P1D", "keywords": "National Oceanic and Atmospheric Administration (NOAA),Visible Infrared Imaging Radiometer Suite,Leaf Area Index (LAI),VIIRS,National Aeronautics and Space Administration (NASA),Suomi National Polar-Orbiting Partnership (S-NPP),Fraction of Photosynthetically Active Radiation (FPAR)", "legacyId": 16580, "sceneCount": 119826, "spatialBounds": {"north": 84.6099895483277, "east": 180.01, "south": -63.2099989575521, "west": -180.01}, "temporalCoverage": "[\"2012-01-17 00:00:00-06\",\"2021-02-18 00:00:00-06\"]", "supportCloudCover": false, "supportDeletionSearch": false}, {"abstractText": "The NASA MEaSUREs Vegetation Index and Phenology (VIP) global datasets were created using surface reflectance data from the Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. 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The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. 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Panchromatic", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#grid_cell_size_panchromatic", "value": "15.00"}, {"id": "5e83d0b9c6eaa87d", "fieldName": "Grid Cell Size Reflective", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#grid_cell_size_reflective", "value": "30.00"}, {"id": "5e83d0b8c810ced", "fieldName": "Grid Cell Size Thermal", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#grid_cell_size_thermal", "value": "30.00"}, {"id": "5e83d0b8a40bafa4", "fieldName": "Bias Parameter File Name OLI", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#bpf_name_oli", "value": "LO8BPF20200804131106_20200804135741.02"}, {"id": "5e83d0b964a91d93", "fieldName": "Bias Parameter File Name TIRS", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#bpf_name_tirs", "value": "LT8BPF20200804063150_20200819100527.02"}, {"id": "5e83d0b9b5d81214", "fieldName": "Calibration Parameter File", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#cpf_name", "value": "LC08CPF_20200701_20200930_01.02"}, {"id": "5e83d0b9c67b22a3", "fieldName": "RLUT File Name", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#rlut_file_name", "value": "LC08RLUT_20150303_20431231_01_12.h5"}, {"id": "5e83d0b9a610a996", "fieldName": "Center Latitude", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "25°59'34.04\"S"}, {"id": "5e83d0b94fad23df", "fieldName": "Center Longitude", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "58°00'40.90\"W"}, {"id": "5e83d0b9c1d54551", "fieldName": "UL Corner Lat", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "24°56'31.16\"S"}, {"id": "5e83d0b8d91068e", "fieldName": "UL Corner Long", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "58°43'44.22\"W"}, {"id": "5e83d0b94ff6f17e", "fieldName": "UR Corner Lat", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "25°19'07.79\"S"}, {"id": "5e83d0b9a76119fe", "fieldName": "UR Corner Long", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "56°52'02.24\"W"}, {"id": "5e83d0b9f29120e3", "fieldName": "LL Corner Lat", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "26°39'47.27\"S"}, {"id": "5e83d0b988d2162b", "fieldName": "LL Corner Long", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "59°10'09.37\"W"}, {"id": "5e83d0b96162233", "fieldName": "LR Corner Lat", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "27°02'43.30\"S"}, {"id": "5e83d0b894a09772", "fieldName": "LR Corner Long", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_degrees", "value": "57°16'48.50\"W"}, {"id": "5e83d0b87f203a10", "fieldName": "Center Latitude dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-25.99279"}, {"id": "5e83d0b9b2a9a299", "fieldName": "Center Longitude dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-58.01136"}, {"id": "5e83d0b8bc51bf5b", "fieldName": "UL Corner Lat dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-24.94199"}, {"id": "5e83d0b95071b3bf", "fieldName": "UL Corner Long dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-58.72895"}, {"id": "5e83d0b9842b0429", "fieldName": "UR Corner Lat dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-25.31883"}, {"id": "5e83d0b931a16a9", "fieldName": "UR Corner Long dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-56.86729"}, {"id": "5e83d0b8abad8ec9", "fieldName": "LL Corner Lat dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-26.66313"}, {"id": "5e83d0b92a9532e0", "fieldName": "LL Corner Long dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-59.16927"}, {"id": "5e83d0b834fea374", "fieldName": "LR Corner Lat dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-27.04536"}, {"id": "5e83d0b9f619dbbe", "fieldName": "LR Corner Long dec", "dictionaryLink": "https://lta.cr.usgs.gov/DD/landsat_dictionary.html#coordinates_decimal", "value": "-57.28014"}], "hasCustomizedMetadata": false, "options": {"bulk": true, "download": true, "order": true, "secondary": false}, "selected": null, "spatialBounds": {"type": "Polygon", "coordinates": [[[-59.16927, -27.04536], [-59.16927, -24.94199], [-56.86729, -24.94199], [-56.86729, -27.04536], [-59.16927, -27.04536]]]}, "spatialCoverage": {"type": "Polygon", "coordinates": [[[-59.16927, -26.66313], [-57.28014, -27.04536], [-56.86729, -25.31883], [-58.72895, -24.94199], [-59.16927, -26.66313]]]}, "temporalCoverage": {"endDate": "2020-08-04 00:00:00", "startDate": "2020-08-04 00:00:00"}, "publishDate": "2020-08-04T13:39:39"}, "errorCode": null, "errorMessage": null}././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/data/scene-search.json0000644000076500000240000000472100000000000020070 0ustar00amitstaff00000000000000{"requestId": 226027587, "version": "stable", "sessionId": 48213211, "data": {"results": [{"browse": [{"id": "5e83d0b86f2c3061", "browseRotationEnabled": null, "browseName": "LandsatLook Natural Color Preview Image", "browsePath": "https://ims.cr.usgs.gov/browse/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1.jpg", "overlayPath": "https://ims.cr.usgs.gov/wms/landsat_8_c1?sceneId=lc82330832016255lgn01", "overlayType": "dmid_wms", "thumbnailPath": "https://ims.cr.usgs.gov/thumbnail/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1.jpg"}, {"id": "5e83d0b85da62c02", "browseRotationEnabled": null, "browseName": "LandsatLook Thermal Preview Image", "browsePath": "https://ims.cr.usgs.gov/browse/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1_TIR.jpg", "overlayPath": "https://ims.cr.usgs.gov/wms/landsat_8_c1?sceneId=lc82330832016255lgn01_tir", "overlayType": "dmid_wms", "thumbnailPath": "https://ims.cr.usgs.gov/thumbnail/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1_TIR.jpg"}, {"id": "5e83d0b8b814a0e6", "browseRotationEnabled": null, "browseName": "LandsatLook Quality Preview Image", "browsePath": "https://ims.cr.usgs.gov/browse/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1_QB.jpg", "overlayPath": "https://ims.cr.usgs.gov/wms/landsat_8_c1?sceneId=lc82330832016255lgn01_qb", "overlayType": "dmid_wms", "thumbnailPath": "https://ims.cr.usgs.gov/thumbnail/landsat_8_c1/2016/233/083/LC08_L1TP_233083_20160911_20170321_01_T1_QB.jpg"}], "cloudCover": "44.79", "entityId": "LC82330832016255LGN01", "displayId": "LC08_L1TP_233083_20160911_20170321_01_T1", "orderingId": null, "metadata": [], "hasCustomizedMetadata": null, "options": {"bulk": true, "download": true, "order": true, "secondary": false}, "selected": {"bulk": false, "compare": false, "order": false}, "spatialBounds": {"type": "Polygon", "coordinates": [[[-71.95354, -34.23147], [-71.95354, -32.12253], [-69.47149, -32.12253], [-69.47149, -34.23147], [-71.95354, -34.23147]]]}, "spatialCoverage": {"type": "Polygon", "coordinates": [[[-71.95354, -33.83657], [-69.92462, -34.23147], [-69.47149, -32.51079], [-71.46144, -32.12253], [-71.95354, -33.83657]]]}, "temporalCoverage": {"endDate": "2016-09-11 00:00:00", "startDate": "2016-09-11 00:00:00"}, "publishDate": "2016-09-11 14:20:23"}], "recordsReturned": 1, "totalHits": 1, "isCustomized": false, "numExcluded": 0, "startingNumber": 1, "nextRecord": 1}, "errorCode": null, "errorMessage": null}././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1646747669.0 usgs-0.3.5/tests/test_api.py0000644000076500000240000001002000000000000016073 0ustar00amitstaff00000000000000import pytest import mock from usgs import api from .MockPost import MockPost def check_root_keys(response): expected_keys = ["requestId", "version", "sessionId", "data", "errorCode", "errorMessage"] for key in expected_keys: if key not in response: return False return True @mock.patch('usgs.api.requests.Session.post', MockPost('dataset-fields.json')) def test_dataset_filters(): expected_keys = ["id", "legacyFieldId", "dictionaryLink", "fieldConfig", "fieldLabel", "searchSql"] response = api.dataset_filters("LANDSAT_8_C1") assert check_root_keys(response) for item in response['data']: for key in expected_keys: assert key in item @mock.patch('usgs.api.requests.Session.post', MockPost('download-options.json')) def test_download_options(): expected_keys = ["id", "displayId", "entityId", "datasetId", "available", "filesize", "productName", "productCode", "bulkAvailable", "downloadSystem", "secondaryDownloads"] response = api.download_options("LANDSAT_8_C1", ["LC82260782020217LGN00"]) assert check_root_keys(response) for item in response["data"]: for key in expected_keys: assert key in item @mock.patch('usgs.api.requests.Session.post', MockPost('dataset-download-options.json')) def test_dataset_download_options(): expected_keys = ['productId', 'productCode', 'productName'] response = api.dataset_download_options("LANDSAT_8_C1") assert check_root_keys(response) for item in response["data"]: for key in expected_keys: assert key in item @mock.patch('usgs.api.requests.Session.post', MockPost('download-request.json')) def test_download_request(): expected_keys = ['availableDownloads', 'duplicateProducts', 'preparingDownloads', 'failed', 'newRecords', 'numInvalidScenes'] response = api.download_request("LANDSAT_8_C1", "LC82260782020217LGN00", "5e83d0b84df8d8c2") assert check_root_keys for key in response["data"]: assert key in expected_keys @mock.patch('usgs.api.requests.Session.post', MockPost('dataset-search.json')) def test_dataset_search(): expected_keys = [ 'abstractText', 'acquisitionStart', 'acquisitionEnd', 'catalogs', 'collectionName', 'collectionLongName', 'datasetId', 'datasetAlias', 'datasetCategoryName', 'dataOwner', 'dateUpdated', 'doiNumber', 'ingestFrequency', 'keywords', 'legacyId', 'sceneCount', 'spatialBounds', 'temporalCoverage', 'supportCloudCover', 'supportDeletionSearch'] response = api.dataset_search() assert check_root_keys(response) assert len(response['data']) == 1163 for key in expected_keys: assert key in response['data'][0] @mock.patch('usgs.api.requests.Session.post', MockPost('scene-metadata.json')) def test_scene_metadata(): expected_keys = [ 'browse', 'cloudCover', 'entityId', 'displayId', 'orderingId', 'metadata', 'hasCustomizedMetadata', 'options', 'selected', 'spatialBounds', 'spatialCoverage', 'temporalCoverage', 'publishDate'] response = api.scene_metadata( "LANDSAT_8_C1", "LC82260782020217LGN00") assert check_root_keys(response) for key in expected_keys: assert key in response['data'] @mock.patch('usgs.api.requests.Session.post', MockPost('scene-search.json')) def test_scene_search(): expected_keys = [ 'browse', 'cloudCover', 'entityId', 'displayId', 'orderingId', 'metadata', 'hasCustomizedMetadata', 'options', 'selected', 'spatialBounds', 'spatialCoverage', 'temporalCoverage', 'publishDate'] where = { "filter_id": "5e83d0b8fb079b8b", "value": "T1" } response = api.scene_search( "LANDSAT_8_C1", start_date='2016-09-11', end_date='2016-09-12', metadata_type="summary", max_results=1, lat=-33.463623929871886, lng=-70.54248332977295, where=where) assert check_root_keys(response) assert len(response['data']["results"]) == 1 for expected_key in expected_keys: assert expected_key in response['data']["results"][0]././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/tests/test_cli.py0000644000076500000240000000027600000000000016105 0ustar00amitstaff00000000000000# # from click.testing import CliRunner # # from usgs.scripts.cli import cli # # # def test_cli_count(): # runner = CliRunner() # result = runner.invoke(cli, ['3']) # assert True././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1654097467.0 usgs-0.3.5/tests/test_payloads.py0000644000076500000240000001004700000000000017147 0ustar00amitstaff00000000000000 import json import pytest import unittest from usgs import payloads def compare_json(s1, s2): return json.loads(s1) == json.loads(s2) class PayloadsTest(unittest.TestCase): def test_dataset_filters(self): expected = '{"datasetName": "LANDSAT_8_C1"}' payload = payloads.dataset_filters("LANDSAT_8_C1") assert compare_json(payload, expected) def test_download_options(self): expected = """{"datasetName": "LANDSAT_8_C1", "entityIds": ["LC80130292014100LGN00", "LC80130282014100LGN00"]}""" payload = payloads.download_options("LANDSAT_8_C1", ["LC80130292014100LGN00", "LC80130282014100LGN00"]) assert compare_json(payload, expected) def test_dataset_download_options(self): expected = """{"datasetName": "LANDSAT_8_C1"}""" payload = payloads.dataset_download_options("LANDSAT_8_C1") assert compare_json(payload, expected) def test_download_request(self): expected = """{"downloads": [{"entityId": "LC80130292014100LGN00", "productId": "5e83d0b84df8d8c2"}], "downloadApplication": "EE"}""" payload = payloads.download_request("LANDSAT_8_C1", "LC80130292014100LGN00", "5e83d0b84df8d8c2") assert compare_json(payload, expected) def test_dataset_search(self): expected = """{"datasetName": "LANDSAT_8_C1", "catalog": "EE", "temporalFilter": {"start": "2014-10-01T00:00:00Z", "end": "2014-10-01T23:59:59Z"}, "spatialFilter": {"filterType": "mbr", "lowerLeft": {"latitude": 44.60847, "longitude": -99.69639}, "upperRight": {"latitude": 44.60847, "longitude": -99.69639}}}""" ll = {"longitude": -99.69639, "latitude": 44.60847} ur = {"longitude": -99.69639, "latitude": 44.60847} start_date = "2014-10-01T00:00:00Z" end_date = "2014-10-01T23:59:59Z" payload = payloads.dataset_search( "LANDSAT_8_C1", "EE", ll=ll, ur=ur, start_date=start_date, end_date=end_date) assert compare_json(payload, expected) def test_login(self): expected = """{"username": "username", "password": "password"}""" payload = payloads.login("username", "password") assert compare_json(payload, expected) def test_scene_metadata(self): expected = """{"datasetName": "LANDSAT_8_C1", "entityId": "LC82260782020217LGN00", "metadataType": "full"}""" payload = payloads.scene_metadata("LANDSAT_8_C1", "LC82260782020217LGN00") assert compare_json(payload, expected) def test_scene_search(self): expected = """{"datasetName": "GLS2005", "maxResults": 3, "metadataType": null, "sceneFilter": {"acquisitionFilter": {"start": "2006-01-01T00:00:00Z", "end": "2007-12-01T00:00:00Z"}, "spatialFilter": {"filterType": "mbr", "lowerLeft": {"longitude": -135, "latitude": 75}, "upperRight": {"longitude": -120, "latitude": 90}}}}""" ll = {"longitude": -135, "latitude": 75} ur = {"longitude": -120, "latitude": 90} start_date = "2006-01-01T00:00:00Z" end_date = "2007-12-01T00:00:00Z" payload = payloads.scene_search( "GLS2005", ll=ll, ur=ur, start_date=start_date, end_date=end_date, max_results=3) assert compare_json(payload, expected) def test_scene_search_radial_distance(self): expected = """{"datasetName": "GLS2005", "maxResults": 3, "metadataType": null, "sceneFilter": {"acquisitionFilter": {"start": "2006-01-01T00:00:00Z", "end": "2007-12-01T00:00:00Z"}, "spatialFilter": {"filterType": "mbr", "lowerLeft": {"longitude": -125.01823502237109, "latitude": 84.99840995696343}, "upperRight": {"longitude": -124.98175340746137, "latitude": 85.00158953883317}}}}""" lat = 85 lng = -125 dist = 1000 start_date = "2006-01-01T00:00:00Z" end_date = "2007-12-01T00:00:00Z" payload = payloads.scene_search( "GLS2005", lat=lat, lng=lng, distance=dist, start_date=start_date, end_date=end_date, max_results=3) assert compare_json(payload, expected), "wrong result: {r} \n for expected: {e}".format(r=payload, e=expected)././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5797393 usgs-0.3.5/usgs/0000755000076500000240000000000000000000000013537 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678472896.0 usgs-0.3.5/usgs/__init__.py0000644000076500000240000000117600000000000015655 0ustar00amitstaff00000000000000 __version__ = "0.3.5" # The USGS API endpoint USGS_API_DEPRECATED = "https://earthexplorer.usgs.gov/inventory/json/v/1.4.0" USGS_API = "https://m2m.cr.usgs.gov/api/api/json/stable" # # Two catalogs are available for querying # CATALOG_NODES = ["EE", "HDDS"] # http://earthexplorer.usgs.gov/ EARTH_EXPLORER_CATALOG_NODE = "EE" # http://hddsexplorer.usgs.gov/ HDDS_EXPLORER_CATALOG_NODE = "HDDS" class USGSError(Exception): pass class USGSApiKeyRequiredError(Exception): pass class USGSAmbiguousNode(Exception): pass class USGSDependencyRequired(ImportError): pass class USGSAuthExpiredError(Exception): pass ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678472890.0 usgs-0.3.5/usgs/api.py0000644000076500000240000001753700000000000014677 0ustar00amitstaff00000000000000 import os import json from datetime import datetime from urllib3.util.retry import Retry import requests from requests.adapters import HTTPAdapter from requests_futures.sessions import FuturesSession from usgs import USGS_API, USGSError, USGSAuthExpiredError, __version__ from usgs import payloads TMPFILE = os.path.join(os.path.expanduser("~"), ".usgs") def _get_api_key(api_key): if api_key is None and os.path.exists(TMPFILE): with open(TMPFILE, "r") as f: api_key_info = json.load(f) api_key = api_key_info['apiKey'] return api_key def _check_for_usgs_error(data): error_code = data['errorCode'] if error_code is None: return error = data['errorMessage'] if error_code == 'AUTH_EXPIRED': raise USGSAuthExpiredError("API key has expired. Try logging out and logging back in.") raise USGSError('%s: %s' % (error_code, error)) def _create_session(api_key): api_key = _get_api_key(api_key) headers = { 'User-Agent': 'Python usgs v{}'.format(__version__) } if api_key: headers['X-Auth-Token'] = api_key session = requests.Session() session.headers.update(headers) retries = Retry(total=5, backoff_factor=2) session.mount(USGS_API, HTTPAdapter(max_retries=retries)) return session def dataset_filters(dataset, api_key=None): api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/dataset-filters'.format(USGS_API) payload = payloads.dataset_filters(dataset) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def download_options(dataset, entity_ids, api_key=None): api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/download-options'.format(USGS_API) payload = payloads.download_options(dataset, entity_ids) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def dataset_download_options(dataset, api_key=None): """ The dataset download options method is used to discover downloadable products for a specified dataset. Unlike the `download_options` method, this does not check product availability. :param str dataset: Used to identify the which dataset to return results for. """ api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/dataset-download-options'.format(USGS_API) payload = payloads.dataset_download_options(dataset) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def download_request(dataset, entity_id, product_id, api_key=None): """ This method is used to insert the requested downloads into the download queue and returns the available download URLs. """ api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/download-request'.format(USGS_API) payload = payloads.download_request(dataset, entity_id, product_id) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def dataset_search(dataset=None, catalog=None, ll=None, ur=None, start_date=None, end_date=None, api_key=None): api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/dataset-search'.format(USGS_API) payload = payloads.dataset_search( dataset=dataset, catalog=catalog, start_date=start_date, end_date=end_date, ll=ll, ur=ur) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def login(username, password, save=True): """ Log in, creating a temporary API key and optionally storing it for later use. :param str username: Username of the USGS account to log in with. :param str password: Password of the USGS account to log in with. :param bool save: If true, the API key will be stored in a local file (~/.usgs) until `api.logout` is called to remove it. The stored key will be used by other functions to authenticate requests whenever an API key is not explicitly provided. """ url = '{}/login'.format(USGS_API) payload = payloads.login(username, password) with _create_session(api_key=None) as session: created = datetime.now().isoformat() r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) api_key = response["data"] if api_key is None: raise USGSError(response.get("errorMessage", "Authentication failed")) if save: with open(TMPFILE, "w") as f: json.dump({ "apiKey": api_key, "created": created }, f) return response def logout(): """ Log out by deactivating and removing the stored API key, if one exists. """ if not os.path.exists(TMPFILE): return url = '{}/logout'.format(USGS_API) with _create_session(api_key=None) as session: r = session.post(url) response = r.json() try: _check_for_usgs_error(response) except USGSAuthExpiredError: pass os.remove(TMPFILE) return response def scene_metadata(dataset, entity_id, api_key=None): """ Request metadata for a given scene in a USGS dataset. :param str dataset: :param str entity_id: :param str api_key: """ api_key = _get_api_key(api_key) url = '{}/scene-metadata'.format(USGS_API) payload = payloads.scene_metadata(dataset, entity_id) with _create_session(api_key) as session: r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response def scene_search(dataset, max_results=5000, metadata_type=None, start_date=None, end_date=None, ll=None, ur=None, lat=None, lng=None, distance=100, where=None, starting_number=1, sort_order="DESC", api_key=None): """ :param dataset: USGS dataset (e.g. EO1_HYP_PUB, LANDSAT_8) :param lat: Latitude :param lng: Longitude :param distance: Distance in meters used to for a radial search :param ll: Dictionary of longitude/latitude coordinates for the lower left corner of a bounding box search. e.g. { "longitude": 0.0, "latitude": 0.0 } :param ur: Dictionary of longitude/latitude coordinates for the upper right corner of a bounding box search. e.g. { "longitude": 0.0, "latitude": 0.0 } :param start_date: Start date for when a scene has been acquired :param end_date: End date for when a scene has been acquired :where: Dictionary representing key/values for finer grained conditional queries. Only a subset of metadata fields are supported. Available fields depend on the value of `dataset`, and maybe be found by submitting a dataset_filters query. :max_results: Maximum results returned by the server :starting_number: Starting offset for results of a query. :sort_order: Order in which results are sorted. Ascending or descending w.r.t the acquisition date. :api_key: API key for EROS. Required for searching. """ api_key = _get_api_key(api_key) with _create_session(api_key) as session: url = '{}/scene-search'.format(USGS_API) payload = payloads.scene_search( dataset, max_results=max_results, metadata_type=metadata_type, start_date=start_date, end_date=end_date, ll=ll, ur=ur, lat=lat, lng=lng, distance=distance, where=where, starting_number=starting_number) r = session.post(url, payload) response = r.json() _check_for_usgs_error(response) return response ././@PaxHeader0000000000000000000000000000003300000000000011451 xustar000000000000000027 mtime=1678473140.587104 usgs-0.3.5/usgs/data/0000755000076500000240000000000000000000000014450 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/usgs/data/datasets.json0000644000076500000240000006537300000000000017171 0ustar00amitstaff00000000000000{"ADHOC640": "HDDS", "ADHOC646": "HDDS", "ADHOC786": "HDDS", "ADHOC787": "HDDS", "ADHOC784": "HDDS", "ADHOC785": "HDDS", "ADHOC783": "HDDS", "ADHOC780": "HDDS", "ADHOC781": "HDDS", "ADHOC625": "HDDS", "ADHOC624": "HDDS", "ADHOC626": "HDDS", "ADHOC245": "HDDS", "ADHOC623": "HDDS", "ADHOC622": "HDDS", "MEASURES_VIP_VIPPHEN_NDVI": "EE", "NAPP": "EE", "EVENT1296": "HDDS", "EVENT1295": "HDDS", "FCT_TS_PERU": "EE", "EVENT1294": "HDDS", "ADHOC1302": "HDDS", "ADHOC1303": "HDDS", "ADHOC1300": "HDDS", "ADHOC1301": "HDDS", "ADHOC1306": "HDDS", "ADHOC20": "HDDS", "ADHOC1304": "HDDS", "ADHOC1305": "HDDS", "WELDUSWK": "EE", "ADHOC488": "HDDS", "ADHOC658": "HDDS", "ADHOC659": "HDDS", "ADHOC713": "HDDS", "ASTER_GED_AG1KM": "EE", "ADHOC716": "HDDS", "ADHOC650": "HDDS", "ADHOC652": "HDDS", "ADHOC653": "HDDS", "ADHOC655": "HDDS", "ADHOC657": "HDDS", "ADHOC1108": "HDDS", "LANDSAT_TM": "EE", "ADHOC1260": "HDDS", "MODIS_MOD09GA_V6": "EE", "MEASURES_VIP_VIP01": "EE", "MEASURES_VIP_VIP07": "EE", "MODIS_MOD09Q1_V6": "EE", "FCT_TS_PAKISTAN": "EE", "EVENT893": "HDDS", "EVENT892": "HDDS", "MODIS_MYD14A2_V6": "EE", "EVENT896": "HDDS", "EVENT895": "HDDS", "EVENT894": "HDDS", "EVENT952": "HDDS", "EVENT950": "HDDS", "EVENT951": "HDDS", "EVENT956": "HDDS", "EVENT954": "HDDS", "EVENT955": "HDDS", "EVENT847": "HDDS", "ADHOC788": "HDDS", "ADHOC789": "HDDS", "ADHOC222": "HDDS", "ADHOC1044": "HDDS", "ADHOC1128": "HDDS", "ADHOC1041": "HDDS", "ADHOC1040": "HDDS", "ADHOC1043": "HDDS", "ADHOC1042": "HDDS", "ADHOC1122": "HDDS", "EVENT848": "HDDS", "ADHOC1120": "HDDS", "ADHOC1121": "HDDS", "ADHOC1126": "HDDS", "ADHOC1125": "HDDS", "EVENT828": "HDDS", "EVENT829": "HDDS", "EVENT826": "HDDS", "EVENT827": "HDDS", "EVENT824": "HDDS", "MODIS_MOD13A2_V6": "EE", "EVENT822": "HDDS", "EVENT823": "HDDS", "EVENT821": "HDDS", "EVENT776": "HDDS", "EVENT777": "HDDS", "EVENT774": "HDDS", "EVENT775": "HDDS", "EVENT772": "HDDS", "EVENT773": "HDDS", "MODIS_MOD11C1_V6": "EE", "EVENT771": "HDDS", "EVENT779": "HDDS", "MODIS_MOD11_L2": "EE", "EVENT1268": "HDDS", "MODIS_MOD11A2": "EE", "EVENT1266": "HDDS", "EVENT1267": "HDDS", "EVENT1264": "HDDS", "EVENT1265": "HDDS", "EVENT1262": "HDDS", "EVENT1263": "HDDS", "EVENT1260": "HDDS", "EVENT1261": "HDDS", "EVENT1147": "HDDS", "EVENT1146": "HDDS", "EVENT1144": "HDDS", "EVENT1143": "HDDS", "EVENT1142": "HDDS", "EVENT1141": "HDDS", "EVENT1140": "HDDS", "ADHOC355": "HDDS", "HIGH_RES_ORTHO": "EE", "EVENT1148": "HDDS", "CALVAL_IS_DUNHUANG_CHINA": "EE", "MODIS_MYD11_L2_V6": "EE", "FCT_TS_COSTA_RICA": "EE", "ADHOC19": "HDDS", "CALVAL_IS_LACRAU_FRANCE": "EE", "MODIS_MCD12C1": "EE", "EVENT1245": "HDDS", "EVENT1181": "HDDS", "EVENT1082": "HDDS", "EVENT1083": "HDDS", "EVENT1080": "HDDS", "EVENT1081": "HDDS", "EVENT1086": "HDDS", "EVENT1087": "HDDS", "EVENT1084": "HDDS", "EVENT1085": "HDDS", "FCT_TS_REP_CONGO": "EE", "ADHOC161": "HDDS", "EVENT945": "HDDS", "EVENT679": "HDDS", "ADHOC360": "HDDS", "ADHOC363": "HDDS", "EVENT673": "HDDS", "EVENT671": "HDDS", "MODIS_MYD17A3H_V6": "EE", "EVENT946": "HDDS", "MODIS_MYD14_V6": "EE", "MODIS_MCD43C4": "EE", "MODIS_MCD43C2": "EE", "MODIS_MCD43C3": "EE", "MODIS_MCD43C1": "EE", "NAIP_COMPRESSED": "EE", "EO1_HYP_PUB": "EE", "EVENT1039": "HDDS", "EVENT1038": "HDDS", "EVENT1037": "HDDS", "EVENT1036": "HDDS", "EVENT1035": "HDDS", "EVENT1034": "HDDS", "MODIS_MOD13C1": "EE", "EVENT1032": "HDDS", "ESAT_ETM_PAN": "EE", "MODIS_MOD13C2": "EE", "MODIS_MCD15A3H_V6": "EE", "FCT_TS_THAILAND": "EE", "MODIS_MOD11C2": "EE", "EVENT1246": "HDDS", "EVENT303": "HDDS", "HCMM": "EE", "EVENT1128": "HDDS", "HCMM_ORIGINAL": "EE", "ASTER_L1T": "EE", "ADHOC1307": "HDDS", "EVENT1126": "HDDS", "ADHOC948": "HDDS", "ADHOC949": "HDDS", "CALVAL_IS_IVANPAH_PLAYA": "EE", "ADHOC944": "HDDS", "ADHOC945": "HDDS", "ADHOC946": "HDDS", "ADHOC947": "HDDS", "ADHOC940": "HDDS", "ADHOC942": "HDDS", "ADHOC943": "HDDS", "MODIS_MOD15A2H_V6": "EE", "ADHOC822": "HDDS", "ADHOC821": "HDDS", "ADHOC827": "HDDS", "FCT_TS_TANZANIA": "EE", "ADHOC825": "HDDS", "ADHOC824": "HDDS", "ADHOC829": "HDDS", "PAO_EE": "EE", "DLG100K": "EE", "MODIS_MYD09GQ_V6": "EE", "WELDAKYR": "EE", "LPCS_MODIS_MCD12Q1": "LPCS", "ADHOC798": "HDDS", "ADHOC791": "HDDS", "ADHOC790": "HDDS", "MODIS_MCD43A2_V6": "EE", "ADHOC792": "HDDS", "ADHOC795": "HDDS", "ADHOC794": "HDDS", "WELDAKWK": "EE", "ADHOC796": "HDDS", "FCT_TS_VIETNAM": "EE", "ADHOC896": "HDDS", "ADHOC897": "HDDS", "GLOBAL_FIDUCIAL": "EE", "ADHOC895": "HDDS", "ADHOC892": "HDDS", "ADHOC893": "HDDS", "MODIS_MYD11B3_V6": "EE", "FCT_TS_BORNEO": "EE", "LPCS_MODIS_MYD11A1": "LPCS", "LANDSAT_8_C1": "EE", "CALVAL_IS_TUZGOLU_TURKEY": "EE", "ADHOC765": "HDDS", "ADHOC766": "HDDS", "ADHOC767": "HDDS", "ADHOC760": "HDDS", "ADHOC761": "HDDS", "ADHOC762": "HDDS", "ADHOC643": "HDDS", "ADHOC642": "HDDS", "ADHOC641": "HDDS", "DOQ_QQ": "EE", "ADHOC768": "HDDS", "ADHOC769": "HDDS", "ADHOC645": "HDDS", "ADHOC644": "HDDS", "ADHOC1057": "HDDS", "ADHOC499": "HDDS", "MEASURES_VIP_VIP30": "EE", "MODIS_MYD13A2_V6": "EE", "EVENT830": "HDDS", "EVENT949": "HDDS", "EVENT948": "HDDS", "MODIS_MYD13A1_V6": "EE", "EVENT944": "HDDS", "EVENT947": "HDDS", "AVHRR_PHEN_METRICS": "EE", "EVENT940": "HDDS", "EVENT943": "HDDS", "EVENT942": "HDDS", "EVENT784": "HDDS", "ADHOC1113": "HDDS", "EVENT979": "HDDS", "ADHOC633": "HDDS", "SRTM_V3_SRTMGL3": "EE", "SRTM_V3_SRTMGL1": "EE", "ADHOC1110": "HDDS", "ADHOC1056": "HDDS", "EVENT938": "HDDS", "ADHOC1055": "HDDS", "ADHOC1052": "HDDS", "ADHOC1053": "HDDS", "MODIS_MYD13C1_V6": "EE", "ADHOC1051": "HDDS", "ADHOC1117": "HDDS", "ADHOC1115": "HDDS", "ADHOC1114": "HDDS", "DECLASSII": "EE", "ADHOC1111": "HDDS", "ASTER_GED_AG100": "EE", "EVENT831": "HDDS", "EVENT939": "HDDS", "EVENT833": "HDDS", "EVENT832": "HDDS", "EVENT835": "HDDS", "CALVAL_IS_RAILROAD_VALLEY": "EE", "EVENT931": "HDDS", "EVENT932": "HDDS", "EVENT933": "HDDS", "EVENT934": "HDDS", "EVENT935": "HDDS", "EVENT936": "HDDS", "EVENT937": "HDDS", "EVENT930": "HDDS", "MODIS_MCD45A1": "EE", "GLS2005_EO1_ISLANDS": "EE", "EVENT1158": "HDDS", "EVENT354": "HDDS", "EVENT1251": "HDDS", "LAND_COVER_TREND_BLOCK": "EE", "EVENT1257": "HDDS", "EVENT1256": "HDDS", "EVENT1255": "HDDS", "EVENT1254": "HDDS", "EVENT1150": "HDDS", "EVENT1151": "HDDS", "EVENT1152": "HDDS", "EVENT1153": "HDDS", "EVENT1154": "HDDS", "EVENT1155": "HDDS", "EVENT1156": "HDDS", "MODIS_MYD14": "EE", "EVENT1120": "HDDS", "MODIS_MOD09GQ_V6": "EE", "EVENT794": "HDDS", "EVENT795": "HDDS", "EVENT796": "HDDS", "MODIS_MOD09A1": "EE", "EVENT790": "HDDS", "EVENT791": "HDDS", "EVENT792": "HDDS", "EVENT793": "HDDS", "EVENT798": "HDDS", "EVENT769": "HDDS", "EVENT643": "HDDS", "EVENT640": "HDDS", "EVENT641": "HDDS", "EVENT646": "HDDS", "EVENT644": "HDDS", "EVENT645": "HDDS", "EVENT761": "HDDS", "EVENT760": "HDDS", "EVENT648": "HDDS", "EVENT762": "HDDS", "EVENT765": "HDDS", "EVENT767": "HDDS", "EVENT766": "HDDS", "NAIP_FULL_RES": "EE", "MODIS_MYD13A1": "EE", "EVENT653": "HDDS", "MODIS_MYD13A3": "EE", "MODIS_MYD13A2": "EE", "EVENT897": "HDDS", "GLS1990": "EE", "ISERV": "EE", "ADHOC1230": "HDDS", "MODIS_MYD11A1_V6": "EE", "EVENT658": "HDDS", "EVENT1026": "HDDS", "EVENT1027": "HDDS", "EVENT1028": "HDDS", "EVENT1029": "HDDS", "ORBVIEW3": "EE", "ADHOC1238": "HDDS", "EVENT336": "HDDS", "ADHOC1239": "HDDS", "EVENT331": "HDDS", "GTOPO30": "EE", "ASTER_GLOBAL_DEM_DE": "EE", "EVENT1253": "HDDS", "EVENT1159": "HDDS", "ADHOC956": "HDDS", "ADHOC955": "HDDS", "ADHOC954": "HDDS", "ADHOC952": "HDDS", "ADHOC951": "HDDS", "ADHOC950": "HDDS", "EVENT1250": "HDDS", "ADHOC810": "HDDS", "MODIS_MYD11C1": "EE", "MODIS_MYD11C3": "EE", "MODIS_MYD11C2": "EE", "FCT_TS_JECAM_CAN_SOUTH_NATION": "EE", "GLS1975": "EE", "HDDS_BASELINE": "HDDS", "CALVAL_IS_NEGEV_ISRAEL": "EE", "EVENT1259": "HDDS", "EVENT1258": "HDDS", "ADHOC649": "HDDS", "FCT_TS_PHILIPPINES": "EE", "ADHOC885": "HDDS", "ADHOC887": "HDDS", "ADHOC888": "HDDS", "ADHOC648": "HDDS", "LANDSAT_ETM": "EE", "ADHOC1283": "HDDS", "SIRC": "EE", "ADHOC1281": "HDDS", "ADHOC1280": "HDDS", "SRTM_WATER_BODIES": "EE", "ADHOC1286": "HDDS", "ADHOC1285": "HDDS", "ADHOC1284": "HDDS", "ADHOC1289": "HDDS", "ADHOC1288": "HDDS", "NRCS": "EE", "LIMA": "EE", "EVENT915": "HDDS", "ADHOC777": "HDDS", "NHAP": "EE", "ADHOC775": "HDDS", "ADHOC774": "HDDS", "ADHOC773": "HDDS", "ADHOC772": "HDDS", "ADHOC771": "HDDS", "ADHOC679": "HDDS", "ADHOC677": "HDDS", "ADHOC674": "HDDS", "ADHOC673": "HDDS", "ADHOC779": "HDDS", "ADHOC671": "HDDS", "MODIS_MCD43A1_V6": "EE", "EVENT668": "HDDS", "EVENT724": "HDDS", "ADHOC1219": "HDDS", "ADHOC1190": "HDDS", "FCT_TS_LAOS": "EE", "EMODIS": "EE", "GTOPO30_HYDRO_1K": "EE", "FCT_TS_ETHIOPIA": "EE", "EVENT642": "HDDS", "MODIS_MYD11B1_V6": "EE", "FCT_TS_BELIZE": "EE", "ADHOC1068": "HDDS", "ADHOC1063": "HDDS", "ADHOC1062": "HDDS", "ADHOC1061": "HDDS", "ADHOC1060": "HDDS", "FCT_TS_NEPAL": "EE", "ADHOC1065": "HDDS", "ADHOC1064": "HDDS", "ADHOC1269": "HDDS", "ADHOC1268": "HDDS", "ADHOC1102": "HDDS", "ADHOC1103": "HDDS", "ADHOC1104": "HDDS", "ADHOC1105": "HDDS", "ADHOC1106": "HDDS", "ADHOC1107": "HDDS", "ADHOC1261": "HDDS", "ADHOC1109": "HDDS", "ADHOC1263": "HDDS", "ADHOC1262": "HDDS", "ADHOC1265": "HDDS", "ADHOC1264": "HDDS", "ADHOC1267": "HDDS", "ADHOC1266": "HDDS", "EVENT929": "HDDS", "EVENT928": "HDDS", "ADHOC1123": "HDDS", "EVENT923": "HDDS", "EVENT922": "HDDS", "EVENT921": "HDDS", "EVENT920": "HDDS", "EVENT927": "HDDS", "EVENT849": "HDDS", "EVENT925": "HDDS", "EVENT924": "HDDS", "MODIS_MYDTBGA_V6": "EE", "MODIS_MOD11C3": "EE", "LANDSAT_TM_C1": "EE", "MODIS_MOD11C1": "EE", "EVENT1247": "HDDS", "EVENT1240": "HDDS", "EVENT1241": "HDDS", "EVENT1242": "HDDS", "EVENT1243": "HDDS", "EVENT1125": "HDDS", "EVENT1127": "HDDS", "MODIS_MOD14_V6": "EE", "EVENT1248": "HDDS", "EVENT1249": "HDDS", "FCT_TS_RUSSIA": "EE", "EVENT1122": "HDDS", "EVENT28": "HDDS", "MODIS_MOD11A2_V6": "EE", "EVENT622": "HDDS", "EVENT623": "HDDS", "EVENT624": "HDDS", "EVENT625": "HDDS", "EVENT626": "HDDS", "LSR_LANDSAT_TM_C1": "LPCS", "SPOT": "EE", "EVENT787": "HDDS", "EVENT786": "HDDS", "EVENT785": "HDDS", "ADHOC604": "HDDS", "EVENT783": "HDDS", "EVENT781": "HDDS", "EVENT780": "HDDS", "ADHOC603": "HDDS", "NATIONALATLAS": "EE", "FCT_TS_ARGENTINA": "EE", "EVENT789": "HDDS", "EVENT788": "HDDS", "EVENT825": "HDDS", "EVENT655": "HDDS", "EVENT1230": "HDDS", "EVENT657": "HDDS", "EVENT650": "HDDS", "EVENT1237": "HDDS", "EVENT652": "HDDS", "EVENT1239": "HDDS", "EVENT1238": "HDDS", "EVENT716": "HDDS", "EVENT659": "HDDS", "ADHOC343": "HDDS", "ADHOC340": "HDDS", "ADHOC341": "HDDS", "ORTHO_MOSAIC": "EE", "MODIS_MCD43A4": "EE", "MODIS_MCD43A1": "EE", "MODIS_MCD43A2": "EE", "MODIS_MCD43A3": "EE", "UAS_RAW": "EE", "EVENT1157": "HDDS", "EVENT770": "HDDS", "EVENT768": "HDDS", "EVENT1055": "HDDS", "EVENT1057": "HDDS", "EVENT1056": "HDDS", "EVENT1051": "HDDS", "EVENT1053": "HDDS", "EVENT1052": "HDDS", "MODIS_MOD13A3": "EE", "MODIS_MOD13A2": "EE", "MODIS_MOD13A1": "EE", "EVENT1059": "HDDS", "LIMA_MOSAIC": "EE", "MODIS_MOD13A1_V6": "EE", "EVENT323": "HDDS", "EVENT326": "HDDS", "EVENT649": "HDDS", "ADHOC1222": "HDDS", "MEASURES_VIP_VIPPHEN_EVI2": "EE", "EVENT888": "HDDS", "FCT_TS_MEXICO": "EE", "ADHOC962": "HDDS", "ADHOC993": "HDDS", "ADHOC960": "HDDS", "ADHOC961": "HDDS", "ADHOC966": "HDDS", "ADHOC967": "HDDS", "ADHOC964": "HDDS", "ADHOC965": "HDDS", "ADHOC968": "HDDS", "ADHOC969": "HDDS", "FCT_TS_AUSTRALIA": "EE", "ADHOC638": "HDDS", "MODIS_MYD13C2_V6": "EE", "AERIAL_COMBIN": "EE", "SRTM_V3_SRTMSWBD": "EE", "MODIS_MYD11B1": "EE", "ADHOC1059": "HDDS", "MODIS_MYD15A2H_V6": "EE", "SENTINEL_2A": "EE", "EVENT748": "HDDS", "GLS2000": "EE", "GLS2005": "EE", "ORTHO_MOSAIC_ETM": "EE", "MODIS_MYD09CMG": "EE", "EVENT1269": "HDDS", "WELDUSYR": "EE", "ADHOC314": "HDDS", "ADHOC1294": "HDDS", "ADHOC1295": "HDDS", "ADHOC1296": "HDDS", "MODIS_MOD15A2": "EE", "ADHOC1290": "HDDS", "ADHOC1291": "HDDS", "ADHOC1292": "HDDS", "ADHOC963": "HDDS", "ADHOC1298": "HDDS", "ADHOC1299": "HDDS", "EVENT981": "HDDS", "ADHOC748": "HDDS", "LIDAR_DE": "EE", "ADHOC743": "HDDS", "ADHOC740": "HDDS", "ADHOC744": "HDDS", "ADHOC745": "HDDS", "ADHOC988": "HDDS", "MODIS_MOD09CMG": "EE", "ADHOC663": "HDDS", "ADHOC662": "HDDS", "ADHOC665": "HDDS", 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"LANDSAT_8": "EE", "ADHOC631": "HDDS", "EVENT1162": "HDDS", "ADHOC148": "HDDS", "MODIS_MOD13C1_V6": "EE", "EMODIS_PHEN_METRICS": "EE", "EVENT616": "HDDS", "ADHOC1277": "HDDS", "ADHOC1119": "HDDS", "ADHOC705": "HDDS", "ADHOC1118": "HDDS", "EVENT854": "HDDS", "MODIS_MOD11B1_V6": "EE", "EVENT851": "HDDS", "EDNA": "EE", "EVENT850": "HDDS", "EVENT916": "HDDS", "ADHOC1148": "HDDS", "ADHOC1149": "HDDS", "MEASURES_VIP_VIP15": "EE", "ADHOC1144": "HDDS", "ADHOC1146": "HDDS", "ADHOC1147": "HDDS", "ADHOC1140": "HDDS", "ADHOC1141": "HDDS", "ADHOC1142": "HDDS", "ADHOC1143": "HDDS", "ADHOC1226": "HDDS", "EVENT885": "HDDS", "ADHOC1223": "HDDS", "EVENT887": "HDDS", "ADHOC923": "HDDS", "DLG_LARGE": "EE", "ADHOC1229": "HDDS", "EVENT967": "HDDS", "EVENT966": "HDDS", "EVENT965": "HDDS", "EVENT964": "HDDS", "EVENT963": "HDDS", "EVENT962": "HDDS", "EVENT961": "HDDS", "EVENT960": "HDDS", "EVENT911": "HDDS", "ADHOC894": "HDDS", "EVENT969": "HDDS", "EVENT968": "HDDS", "MODIS_MOD13C2_V6": "EE", "FCT_TS_BRAZIL": "EE", "FCT_TS_ALGERIA": "EE", "EVENT1089": "HDDS", "MODIS_MCD15A2H_V6": "EE", "ADHOC1139": "HDDS", "ADHOC1031": "HDDS", "ADHOC1032": "HDDS", "ADHOC1033": "HDDS", "ADHOC1034": "HDDS", "ADHOC1035": "HDDS", "ADHOC1036": "HDDS", "ADHOC325": "HDDS", "ADHOC1131": "HDDS", "ADHOC1130": "HDDS", "ADHOC1132": "HDDS", "ADHOC1134": "HDDS", "ADHOC1137": "HDDS", "ADHOC1136": "HDDS", "EVENT819": "HDDS", "EVENT818": "HDDS", "EVENT810": "HDDS", "EVENT743": "HDDS", "EVENT742": "HDDS", "EVENT740": "HDDS", "EVENT745": "HDDS", "EVENT744": "HDDS", "EVENT735": "HDDS", "EVENT739": "HDDS", "EVENT1279": "HDDS", "EVENT1278": "HDDS", "ADHOC328": "HDDS", "EVENT1277": "HDDS", "EVENT1276": "HDDS", "EVENT1270": "HDDS", "EVENT1273": "HDDS", "EVENT1272": "HDDS", "EVENT1172": "HDDS", "EVENT1170": "HDDS", "ESAT_TM": "EE", "EVENT1090": "HDDS", "EVENT1093": "HDDS", "EVENT1095": "HDDS", "EVENT1094": "HDDS", "EVENT1097": "HDDS", "EVENT1096": "HDDS", "EVENT1099": "HDDS", "VIIRS_NASA_DERIV": "LPCS", "EVENT1301": "HDDS", "EVENT1300": "HDDS", "EVENT1303": "HDDS", "EVENT1302": "HDDS", "EVENT1305": "HDDS", "MODIS_MYD15A2": "EE", "EVENT1307": "HDDS", "EVENT1306": "HDDS", "EVENT664": "HDDS", "EVENT665": "HDDS", "EVENT666": "HDDS", "EVENT660": "HDDS", "EVENT662": "HDDS", "EVENT663": "HDDS", "MODIS_MYD14A1_V6": "EE", "EVENT364": "HDDS", "EVENT360": "HDDS", "EVENT363": "HDDS", "MODIS_MCD43B4": "EE", "MODIS_MCD43B1": "EE", "MODIS_MOD09GA": "EE", "MODIS_MCD43B3": "EE", "MODIS_MCD43B2": "EE", "MODIS_MODOCGA_V6": "EE", "MODIS_MOD09GQ": "EE", "SRTM": "EE", "EVENT1137": "HDDS", "EVENT1000": "HDDS", "EVENT1004": "HDDS", "EVENT1005": "HDDS", "ASTER_GLOBAL_DEM": "EE", "ASAS": "EE", "MODIS_MOD14A1": "EE", "MODIS_MOD14A2": "EE", "ADHOC853": "HDDS", "EVENT1132": "HDDS", "ADHOC849": "HDDS", "MODIS_MOD14": "EE", "MODIS_MYD11C1_V6": "EE", "ADHOC929": "HDDS", "LANDSAT_8_PREWRS": "EE", "ADHOC660": "HDDS", "ADHOC854": "HDDS", "ADHOC855": "HDDS", "MODIS_MOD11A1_V6": "EE", "ADHOC939": "HDDS", "ADHOC938": "HDDS", "ADHOC931": "HDDS", "ADHOC930": "HDDS", "ADHOC933": "HDDS", "ADHOC932": "HDDS", "ADHOC935": "HDDS", "ADHOC934": "HDDS", "ADHOC937": "HDDS", "ADHOC936": "HDDS", "ADHOC830": "HDDS", "ADHOC831": "HDDS", "ADHOC832": "HDDS", "ADHOC833": "HDDS", "ADHOC835": "HDDS", "WELDAKMO": "EE", "RBV_FILM": "EE", "MODIS_MYDOCGA_V6": "EE", "WELD_LCLUC": "EE", "LSR_LANDSAT_ETM_C1": "LPCS", "MODIS_MOD13Q1_V6": "EE"}././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1654097467.0 usgs-0.3.5/usgs/payloads.py0000644000076500000240000001453400000000000015734 0ustar00amitstaff00000000000000import json import math from collections import defaultdict from usgs import CATALOG_NODES, USGSDependencyRequired def dataset_filters(dataset): """ This request is used to return the metadata filter fields for the specified dataset. These values can be used as additional criteria when submitting search and hit queries. :param str dataset: """ return json.dumps({ "datasetName": dataset, }) def download_options(dataset, entity_ids): """ The download options request is used to discover downloadable products for each dataset. If a download is marked as not available, an order must be placed to generate that product. :param str dataset: :param str entity_ids: """ payload = { "datasetName": dataset, "entityIds": entity_ids } return json.dumps(payload) def dataset_download_options(dataset): """ The dataset download options request is used to discover downloadable products for a specified dataset. Unlike the `download_options` request, this does not check product availability. :param str dataset: Used to identify the which dataset to return results for. """ payload = {"datasetName": dataset} return json.dumps(payload) def download_request(dataset, entity_id, product_id): """ The use of this request will be to obtain valid data download URLs. :param str dataset: :param str entity_id: :param str product_id: """ payload = { "downloads": [ { "entityId": entity_id, "productId": product_id } ], "downloadApplication": "EE" } return json.dumps(payload) def dataset_search(dataset, catalog, start_date=None, end_date=None, ll=None, ur=None): """ This method is used to find datasets available for searching. By passing only an API Key, all available datasets are returned. Additional parameters such as temporal range and spatial bounding box can be used to find datasets that provide more specific data. The dataset name parameter can be used to limit the results based on matching the supplied value against the public dataset name with assumed wildcards at the beginning and end. :param str dataset: :param str catalog: :param start_date: Used for searching scene acquisition - will accept anything that the PHP strtotime function can understand :param end_date: Used for searching scene acquisition - will accept anything that the PHP strtotime function can understand :param ll: Lower left corner of an AOI bounding box - in decimal form Longitude/Latitude dictionary e.g. { "longitude": 0.0, "latitude": 0.0 } :param ur: Upper right corner of an AOI bounding box - in decimal form Longitude/Latitude dictionary e.g. { "longitude": 0.0, "latitude": 0.0 } """ payload = { "datasetName": dataset, "catalog": catalog } if start_date and end_date: payload["temporalFilter"] = { "start": start_date, "end": end_date } if ll and ur: payload["spatialFilter"] = { "filterType": "mbr", "lowerLeft": { "latitude": ll["latitude"], "longitude": ll["longitude"] }, "upperRight": { "latitude": ur["latitude"], "longitude": ur["longitude"] } } return json.dumps(payload) def login(username, password): """ Upon a successful login, an API key will be returned. This key will be active for two hours and should be destroyed upon final use of the service by calling the logout method. :param str username: :param str password: """ payload = { "username": username, "password": password } return json.dumps(payload) def scene_metadata(dataset, entity_id): """ The use of the metadata request is intended for those who have acquired scene IDs from a different source. It will return the same metadata that is available via the search request. :param dataset: :param entity_id: """ payload = { "datasetName": dataset, "entityId": entity_id, "metadataType": "full" } return json.dumps(payload) def great_circle_dist(lat, lng, dist): lat = math.radians(lat) lng = math.radians(lng) brng = math.radians(45.0) ibrng = math.radians(225.0) earth_radius = 6371000.0 dR = (dist / 2.0)/ earth_radius lat1 = math.asin( math.sin(lat)*math.cos(dR) + math.cos(lat)*math.sin(dR)*math.cos(brng) ); lng1 = lng + math.atan2(math.sin(brng)*math.sin(dR)*math.cos(lat), math.cos(dR)-math.sin(lat)*math.sin(lat1)); lat2 = math.asin( math.sin(lat)*math.cos(dR) + math.cos(lat)*math.sin(dR)*math.cos(ibrng) ); lng2 = lng + math.atan2(math.sin(ibrng)*math.sin(dR)*math.cos(lat), math.cos(dR)-math.sin(lat)*math.sin(lat2)); return [math.degrees(lat1), math.degrees(lat2)], [math.degrees(lng1), math.degrees(lng2)] def scene_search( dataset, max_results=None, metadata_type=None, start_date=None, end_date=None, ll=None, ur=None, lat=None, lng=None, distance=100, where=None, starting_number=None): payload = defaultdict(dict, { "datasetName": dataset, "maxResults": max_results, "startingNumber": starting_number, "metadataType": metadata_type }) if (start_date is not None) and (end_date is not None): payload["sceneFilter"]["acquisitionFilter"] = { "start": start_date, "end": end_date } # Latitude and longitude take precedence over ll and ur if lat and lng: lats, lngs = great_circle_dist(lat, lng, distance / 2.0) ll = { "longitude": min(*lngs), "latitude": min(*lats) } ur = { "longitude": max(*lngs), "latitude": max(*lats) } if ll and ur: payload["sceneFilter"]["spatialFilter"] = { "filterType": "mbr", "lowerLeft": ll, "upperRight": ur } if where: payload["sceneFilter"]["metadataFilter"] = { "filterType": "value", "filterId": where["filter_id"], "value": where["value"], "operand": "=" } return json.dumps(payload) ././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5893664 usgs-0.3.5/usgs/scripts/0000755000076500000240000000000000000000000015226 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/usgs/scripts/__init__.py0000644000076500000240000000000000000000000017325 0ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/usgs/scripts/cli.py0000644000076500000240000001604400000000000016354 0ustar00amitstaff00000000000000 import os import json import click from datetime import datetime from usgs import api def to_coordinates(bounds): xmin, ymin, xmax, ymax = bounds return [[ [xmin, ymin], [xmin, ymax], [xmax, ymax], [xmax, ymin], [xmin, ymin] ]] def to_geojson_feature(entry): # TODO: This key may not be present in all datasets. bounds = map(float, entry.pop("sceneBounds").split(',')) coordinates = to_coordinates(bounds) return { "type": "Feature", "properties": entry, "geometry": { "type": "Polygon", "coordinates": coordinates } } def to_geojson(result): gj = { 'type': 'FeatureCollection' } if type(result['data']) is list: features = map(to_geojson_feature, result['data']) else: features = map(to_geojson_feature, result['data']['results']) for key in result['data']: if key == "results": continue gj[key] = result['data'][key] gj['features'] = features for key in result: if key == "data": continue gj[key] = result[key] return gj def explode(coords): for e in coords: if isinstance(e, (float, int)): yield coords break else: for f in explode(e): yield f def get_bbox(f): x, y = zip(*list(explode(f['geometry']['coordinates']))) return min(x), min(y), max(x), max(y) api_key_opt = click.option("--api-key", help="API key returned from USGS servers after logging in.", default=None) catalog_opt = click.option("--catalog", help="The catalog corresponding to the dataset. One of EE or HDDS).", default=None, type=click.Choice(['EE', 'HDDS'])) dataset_opt = click.option("--dataset", help="The name of a dataset, e.g. landsat_8_c1") start_date_opt = click.option("--start-date", default=None, help="The start date of a dataset or acquisition") end_date_opt = click.option("--end-date", default=None, help="The start date of a dataset or acquisition") @click.group() def usgs(): pass @click.command() @click.argument("username", envvar='USGS_USERNAME') @click.argument("password", envvar='USGS_PASSWORD') def cycle_token(username, password): credential_filepath = os.path.join(os.path.expanduser("~"), ".usgs") with open(credential_filepath) as f: credentials = json.load(f) created = datetime.strptime(credentials['created'], "%Y-%m-%dT%H:%M:%S.%f") token_lifetime = (datetime.now() - created).seconds approx_two_hours = 2 * 60 * 60 - 60 click.echo('The token lifetime is {} seconds'.format(token_lifetime)) if token_lifetime > approx_two_hours: api.logout() api.login(username, password) @click.command() @click.argument("dataset") def dataset_filters(dataset): data = api.dataset_filters(dataset) click.echo(json.dumps(data)) @click.command() @catalog_opt @dataset_opt @start_date_opt @end_date_opt def dataset_search(catalog, dataset, start_date, end_date): data = api.dataset_search( dataset=dataset, catalog=catalog, start_date=start_date, end_date=end_date) click.echo(json.dumps(data)) @click.command() @click.argument("dataset") @click.argument("scene-ids", nargs=-1) @api_key_opt def download_options(dataset, scene_ids, api_key): data = api.download_options(dataset, scene_ids) click.echo(json.dumps(data)) @click.command() @click.argument("dataset") @click.argument("entity_id") @click.option("--product-id", required=True) @api_key_opt def download_request(dataset, entity_id, product_id, api_key): data = api.download_request(dataset, entity_id, product_id) click.echo(json.dumps(data)) @click.command() @click.argument("username", envvar='USGS_USERNAME') @click.argument("password", envvar='USGS_PASSWORD') def login(username, password): click.echo(api.login(username, password)) @click.command() def logout(): click.echo(api.logout()) @click.command() @click.argument("dataset") @click.argument("scene-id", nargs=1) @click.option('--geojson', is_flag=True) @api_key_opt def scene_metadata(dataset, scene_id, geojson, api_key): result = api.scene_metadata(dataset, scene_id, api_key=api_key) if geojson: result = to_geojson(result) click.echo(json.dumps(result)) @click.command() @click.argument("dataset") @click.argument("aoi", default="-", required=False) @click.option('--max-results', default=5000, type=int) @click.option('--metadata-type', type=click.Choice(['summary', 'full'])) @click.option("--start-date") @click.option("--end-date") @click.option("--lower-left", nargs=2, help="Longitude/latitude specifying the lower left of the search window") @click.option("--upper-right", nargs=2, help="Longitude/latitude specifying the lower left of the search window") @click.option("--longitude", type=float) @click.option("--latitude", type=float) @click.option("--distance", type=float, help="Radius - in units of meters - used to search around the specified longitude/latitude.", default=100) @click.option("--where", nargs=2, multiple=True, help="Supply additional search criteria.") @api_key_opt def scene_search( dataset, aoi, max_results, metadata_type, start_date, end_date, lower_left, upper_right, longitude, latitude, distance, where, api_key): if aoi: src = click.open_file('-') if aoi == "-" else click.open_file(aoi) if not src.isatty(): lines = src.readlines() if len(lines) > 0: aoi = json.loads(''.join([ line.strip() for line in lines ])) bbox = [ get_bbox(feature) for feature in aoi.get('features') ][0] lower_left = bbox[0:2] upper_right = bbox[2:4] if where: # Query the dataset fields endpoint for queryable fields resp = api.dataset_fields(dataset, node) def format_fieldname(s): return ''.join(c for c in s if c.isalnum()).lower() field_lut = { format_fieldname(field['name']): field['fieldId'] for field in resp['data'] } where = { field_lut[format_fieldname(k)]: v for k, v in where if format_fieldname(k) in field_lut } if len(lower_left) > 0: lower_left = dict(zip(['longitude', 'latitude'], lower_left)) upper_right = dict(zip(['longitude', 'latitude'], upper_right)) else: lower_left = None upper_right = None result = api.scene_search( dataset, max_results=max_results, metadata_type=metadata_type, start_date=start_date, end_date=end_date, ll=lower_left, ur=upper_right, lng=longitude, lat=latitude, distance=distance) print(json.dumps(result)) usgs.add_command(cycle_token, "cycle-token") usgs.add_command(dataset_filters, "dataset-filters") usgs.add_command(download_options, "download-options") usgs.add_command(download_request, "download-request") usgs.add_command(dataset_search, "dataset-search") usgs.add_command(login) usgs.add_command(logout) usgs.add_command(scene_metadata, "scene-metadata") usgs.add_command(scene_search, "scene-search")././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701555.0 usgs-0.3.5/usgs/xsi.py0000644000076500000240000000217100000000000014715 0ustar00amitstaff00000000000000 def _get_xsd_boolean(element): return True if element.text.lower() == "true" else False def _get_xsd_int(element): return int(element.text) def _get_xsd_double(element): return float(element.text) def _get_xsd_long(element): return int(element.text) def _get_xsd_string(element): return element.text def _get_xsd_array(element): items = element.findall("item") if len(items) > 0: data = map(lambda item: { el.tag: get(el) for el in item }, items) else: data = { el.tag: get(el) for el in element } return data def _get_none(element): return None _dtypes = { "xsd:string": _get_xsd_string, "xsd:boolean": _get_xsd_boolean, "xsd:int": _get_xsd_int, "xsd:double": _get_xsd_double, "xsd:long": _get_xsd_long, "ns1:ArrayOfService_Inventory_DisplayListValue": _get_xsd_array, "ns1:Service_Inventory_Bounds": _get_xsd_array, "ns1:Service_Class_Coordinate": _get_xsd_array, None: _get_none } def get(element): key = element.attrib.get("{http://www.w3.org/2001/XMLSchema-instance}type") return _dtypes[key](element) ././@PaxHeader0000000000000000000000000000003400000000000011452 xustar000000000000000028 mtime=1678473140.5860322 usgs-0.3.5/usgs.egg-info/0000755000076500000240000000000000000000000015231 5ustar00amitstaff00000000000000././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/PKG-INFO0000644000076500000240000000036100000000000016326 0ustar00amitstaff00000000000000Metadata-Version: 2.1 Name: usgs Version: 0.3.5 Summary: Access the USGS inventory service Home-page: https://github.com/kapadia/usgs Author: Amit Kapadia Author-email: amit@planet.com License: MIT Provides-Extra: test License-File: LICENSE ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/SOURCES.txt0000644000076500000240000000200100000000000017106 0ustar00amitstaff00000000000000.gitignore .travis.yml LICENSE README.rst requirements.txt setup.cfg setup.py docs/Makefile docs/conf.py docs/index.rst docs/reference/api.rst docs/reference/cli.rst docs/reference/payloads.rst docs/reference/catalog/cwic.rst docs/reference/catalog/ee.rst docs/reference/catalog/hdds.rst docs/reference/catalog/lpcs.rst scripts/get_datasets_in_node.py tests/MockPost.py tests/__init__.py tests/create_snapshots.py tests/test_api.py tests/test_cli.py tests/test_payloads.py tests/data/dataset-download-options.json tests/data/dataset-fields.json tests/data/dataset-search.json tests/data/download-options.json tests/data/download-request.json tests/data/scene-metadata.json tests/data/scene-search.json usgs/__init__.py usgs/api.py usgs/payloads.py usgs/xsi.py usgs.egg-info/PKG-INFO usgs.egg-info/SOURCES.txt usgs.egg-info/dependency_links.txt usgs.egg-info/entry_points.txt usgs.egg-info/not-zip-safe usgs.egg-info/requires.txt usgs.egg-info/top_level.txt usgs/data/datasets.json usgs/scripts/__init__.py usgs/scripts/cli.py././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/dependency_links.txt0000644000076500000240000000000100000000000021277 0ustar00amitstaff00000000000000 ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/entry_points.txt0000644000076500000240000000005700000000000020531 0ustar00amitstaff00000000000000[console_scripts] usgs = usgs.scripts.cli:usgs ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1628701594.0 usgs-0.3.5/usgs.egg-info/not-zip-safe0000644000076500000240000000000100000000000017457 0ustar00amitstaff00000000000000 ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/requires.txt0000644000076500000240000000010700000000000017627 0ustar00amitstaff00000000000000click>=4.0 requests>=2.7.0 requests_futures>=0.9.5 [test] pytest mock ././@PaxHeader0000000000000000000000000000002600000000000011453 xustar000000000000000022 mtime=1678473140.0 usgs-0.3.5/usgs.egg-info/top_level.txt0000644000076500000240000000000500000000000017756 0ustar00amitstaff00000000000000usgs