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596 results for “Harvard Forest LTER”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1987-05-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1987-05-26 (14:51:54.1060810Z) by Landsat 4, row 30, path 13. 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 LT40130301987146XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:48:33Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1989-08-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1989-08-03 (15:06:24.0580000Z) by Landsat 4, row 30, path 13. 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 LT40130301989215XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-09T22:21:44Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1989-08-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1989-08-19 (15:06:21.8000190Z) by Landsat 4, row 30, path 13. 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 LT40130301989231XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:49:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1990-07-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1990-07-05 (15:02:31.1900690Z) by Landsat 4, row 30, path 13. 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 LT40130301990186XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-09T23:25:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1990-07-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1990-07-21 (15:02:08.8990440Z) by Landsat 4, row 30, path 13. 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 LT40130301990202XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:26:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-06-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-06-10 (15:01:07.2240500Z) by Landsat 5, row 30, path 13. 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 LT50130301984162XXX08, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-09-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-09-30 (15:03:00.6750750Z) by Landsat 5, row 30, path 13. Cloud cover was 16.06 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 LT50130301984274PAC08, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-09T02:02:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-10-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-10-16 (15:02:58.1090500Z) by Landsat 5, row 30, path 13. Cloud cover was 5.14 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 LT50130301984290PAC16, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-09T01:59:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-11-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-11-01 (15:02:52.1720380Z) by Landsat 5, row 30, path 13. 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 LT50130301984306XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-03-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-03-25 (15:03:17.5190630Z) by Landsat 5, row 30, path 13. 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 LT50130301985084XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:43:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-04-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-04-10 (15:03:13.3170810Z) by Landsat 5, row 30, path 13. 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 LT50130301985100XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-04-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-04-26 (15:03:06.9900560Z) by Landsat 5, row 30, path 13. Cloud cover was 8.61 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 LT50130301985116PAC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:40:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-09-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-09-01 (15:02:21.2910880Z) by Landsat 5, row 30, path 13. Cloud cover was 5.26 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 LT50130301985244PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-09-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-09-17 (15:02:08.3670380Z) by Landsat 5, row 30, path 13. Cloud cover was 6.17 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 LT50130301985260PAC06, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-11-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-11-20 (15:01:19.5450380Z) by Landsat 5, row 30, path 13. 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 LT50130301985324AAA05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:40:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-01-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-01-07 (15:00:26.0190560Z) by Landsat 5, row 30, path 13. Cloud cover was 38.45 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 LT50130301986007PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:43:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-01-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-01-23 (15:00:06.1030630Z) by Landsat 5, row 30, path 13. Cloud cover was 9.54 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 LT50130301986023PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-03-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-03-28 (14:58:42.6860000Z) by Landsat 5, row 30, path 13. 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 LT50130301986087XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-04-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-04-13 (14:58:21.8100690Z) by Landsat 5, row 30, path 13. 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 LT50130301986103AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-25T16:58:11Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-04-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-04-29 (14:57:58.9250250Z) by Landsat 5, row 30, path 13. Cloud cover was 13.5 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 LT50130301986119PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:35Z.
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