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21,179 results for “image enhancement”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-07-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-07-01 (15:09:04.2050560Z) by Landsat 5, 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 LT50130302003182LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-07-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-07-17 (15:09:20.0660380Z) by Landsat 5, row 30, path 13. Cloud cover was 24.13 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 LT50130302003198GNC04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-08-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-08-18 (15:09:55.0720190Z) 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 LT50130302003230LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:47Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1994-04-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1994-04-01 (15:06:47.6120250Z) by Landsat 5, row 33, path 15. 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 LT50150331994091AAA02, LPGS_12.0.0, USGS, Sioux Falls, 2012-03-28T10:53:33Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-11-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-11-22 (15:11:19.4710440Z) by Landsat 5, row 30, path 13. Cloud cover was 11.84 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 LT50130302003326GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-12-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-12-08 (15:11:24.6160190Z) by Landsat 5, row 30, path 13. Cloud cover was 31.22 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 LT50130302003342GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:28Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-01-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-01-09 (15:11:40.0960060Z) by Landsat 5, row 30, path 13. Cloud cover was 26.14 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 LT50130302004009GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-01-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-01-25 (15:11:43.8650380Z) by Landsat 5, row 30, path 13. Cloud cover was 21.8 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 LT50130302004025GNC03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:05:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-02-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-02-10 (15:11:46.8490880Z) by Landsat 5, row 30, path 13. Cloud cover was 50.47 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 LT50130302004041GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:44:18Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-02-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-02-26 (15:11:52.7040560Z) by Landsat 5, row 30, path 13. Cloud cover was 0.23 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 LT50130302004057GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-03-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-03-29 (15:12:01.4650500Z) by Landsat 5, row 30, path 13. Cloud cover was 0.42 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 LT50130302004089GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-04-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-04-30 (15:13:00.4030810Z) by Landsat 5, row 30, path 13. Cloud cover was 20.5 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 LT50130302004121GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-07-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-07-03 (15:14:52.9220880Z) by Landsat 5, row 30, path 13. Cloud cover was 8.09 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 LT50130302004185GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-10-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-10-07 (15:17:12.2730630Z) by Landsat 5, row 30, path 13. Cloud cover was 0.01 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 LT50130302004281GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:03:27Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1994-04-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1994-04-17 (15:06:28.6450940Z) by Landsat 5, row 33, path 15. 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 LT50150331994107XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:18:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-11-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-11-08 (15:17:52.4180060Z) by Landsat 5, row 30, path 13. Cloud cover was 5.43 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 LT50130302004313GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:00:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2005-01-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2005-01-11 (15:18:56.5820810Z) by Landsat 5, row 30, path 13. Cloud cover was 49.07 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 LT50130302005011GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:04:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2005-01-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2005-01-27 (15:19:09.6390190Z) by Landsat 5, row 30, path 13. Cloud cover was 28.61 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 LT50130302005027GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T12:20:23Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2005-03-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2005-03-16 (15:19:52.1380380Z) by Landsat 5, row 30, path 13. Cloud cover was 32.51 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 LT50130302005075GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:06:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2005-04-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2005-04-17 (15:20:02.0020560Z) by Landsat 5, row 30, path 13. Cloud cover was 0.04 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 LT50130302005107GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T10:12:25Z.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.