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20,966 results for “Landsat Enhanced Thematic Mapper”
Land cover classification using Landsat Enhanced Thematic Mapper (ETM) data - year 2000
This land cover classification map was created using Landsat Enhanced Thematic Mapper (ETM) data from the year 2000. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of central Arizona-Phoenix using Landsat Enhanced Thematic Mapper (ETM) data, year 2005
A fundamental dataset required for ecosystem analysis consists of the major types of land cover present in the study area and their areal percentages. Land cover refers to the physical nature of the surficial materials present in a given area such as water, grass, clay-rich soil, asphalt, or concrete. Land cover classification can be used as input into a variety of ecological models, and land cover maps can be constructed to aid in planning field sampling strategy. The land cover types can also be linked to different land use categories to investigate temporal and spatial changes in the urban ecosystem.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1982-12-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 1982-12-13 (18:24:53.0540560Z) by Landsat 4, row 29, path 46. Cloud cover was 50 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 LT40460291982347XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-10T15:25:20Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1984-07-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 1984-07-03 (18:24:58.7720880Z) by Landsat 5, row 29, path 46. Cloud cover was 0.1 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 LT50460291984185PAC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-18T19:30:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1994-03-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 1994-03-25 (18:16:54.8730190Z) by Landsat 5, row 29, path 46. 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 LT50460291994084XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-19T04:11:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-04-30
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 1992-04-30 (17:21:15.6250190Z) by Landsat 5, row 36, path 36. Cloud cover was 30 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 LT50360361992121XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:14:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-04-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-04-18 (16:46:05.7110690Z) by Landsat 5, row 032, path 033. 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 LT50330321995108AAA01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:08:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-05-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-05-04 (16:45:23.0900190Z) by Landsat 5, row 032, 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 LT50330321995124XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:08:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-06-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-06-05 (16:43:54.8330560Z) by Landsat 5, row 032, path 033. 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 LT50330321995156XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:14:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-06-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-06-21 (16:43:12.6130750Z) by Landsat 5, row 032, 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 LT50330321995172XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:07:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-07-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-07-07 (16:42:28.8000630Z) by Landsat 5, row 032, 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 LT50330321995188AAA01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:07:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-07-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-07-23 (16:41:45.1910190Z) by Landsat 5, row 032, path 033. 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 LT50330321995204XXX00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:10:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-08-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-08-08 (16:41:01.4620310Z) by Landsat 5, row 032, path 033. 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 LT50330321995220XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:09:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-08-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-08-24 (16:40:16.9560060Z) by Landsat 5, row 032, 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 LT50330321995236XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:09:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-09-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-09-25 (16:38:43.3260060Z) by Landsat 5, row 032, 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 LT50330321995268AAA01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:19:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-10-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-10-11 (16:37:52.7230130Z) by Landsat 5, row 032, 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 LT50330321995284XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:17:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-05-16
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 1992-05-16 (17:21:06.4100940Z) by Landsat 5, row 36, path 36. 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 LT50360361992137XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T21:00:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1995-12-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1995-12-14 (16:38:18.8190630Z) by Landsat 5, row 032, path 033. 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 LT50330321995348XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:13:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1996-02-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1996-02-16 (16:42:49.8140630Z) by Landsat 5, row 032, 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 LT50330321996047XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:19:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1996-03-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1996-03-03 (16:43:54.3230440Z) by Landsat 5, row 032, 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 LT50330321996063XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:17:31Z.
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