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Data are one of the most valuable products curated by the Environmental Data Initiative (EDI). Data and metadata derived from publicly funded research are made available through this website with as few restrictions as possible, and on a non-discriminatory basis.

The Space team has made the following datasets and collections publicly available. You must be a logged-in member of the Space to access all the datasets and collections.

Datasets

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1987-08-06

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1987-08-06 (14:58:16.9840060Z) by Landsat 5, row 29, path 13. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130291987218XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:23:14Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.4640.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1993-12-26

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1993-12-26 (15:08:07.9380190Z) by Landsat 5, row 33, path 15. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50150331993360XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:13:56Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.504.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2010-11-18

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2010-11-18 (15:16:30.8560560Z) by Landsat 5, row 030, path 012. Cloud cover was 13.39 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50120302010322EDC00, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T02:08:28Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.7628.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-10-02

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-10-02 (17:16:05.1550630Z) by Landsat 5, row 36, path 36. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361996276XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:40:29Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.1086.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 1999-03-30

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 1999-03-30 (15:29:08.3480440Z) by Landsat 5, row 043, path 015. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50150431999089XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T11:02:11Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.3575.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1993-08-20

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1993-08-20 (15:08:50.5580000Z) by Landsat 5, row 33, path 15. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50150331993232XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:16:39Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.499.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2000-07-06

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 2000-07-06 (15:27:14.8270630Z) by Landsat 5, row 043, path 015. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50150432000188AAA02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T11:11:39Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.3599.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1997-02-11

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1997-02-11 (16:57:36.9100440Z) by Landsat 5, row 036, path 032. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50320361997042XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:20:19Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.8308.1

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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2001-10-27

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2001-10-27 (17:18:37.1330630Z) by Landsat 5, row 036, path 033. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50330362001300XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T12:27:40Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.9253.1

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