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10,801 results for “data correction”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-05-05
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 2004-05-05 (15:36:28.7720560Z) by Landsat 5, row 042, path 016. Cloud cover was 9.14 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 LT50160422004126GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:52:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-05-21
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 2004-05-21 (15:36:56.1750380Z) by Landsat 5, row 042, path 016. Cloud cover was 12.71 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 LT50160422004142GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:52:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-06-06
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 2004-06-06 (15:37:24.1470630Z) by Landsat 5, row 042, path 016. Cloud cover was 4.84 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 LT50160422004158GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:57:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-06-22
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 2004-06-22 (15:37:51.9680130Z) by Landsat 5, row 042, path 016. Cloud cover was 37.72 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 LT50160422004174GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-24T01:14:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-07-08
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 2004-07-08 (15:38:20.7370380Z) by Landsat 5, row 042, path 016. Cloud cover was 11.03 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 LT50160422004190GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:52:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-07-24
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 2004-07-24 (15:38:45.3040690Z) by Landsat 5, row 042, path 016. Cloud cover was 2.02 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 LT50160422004206GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T14:39:02Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-08-09
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 2004-08-09 (15:39:03.3050000Z) by Landsat 5, row 042, path 016. Cloud cover was 7.69 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 LT50160422004222GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:55:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1987-07-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 1987-07-28 (18:21:57.4650130Z) by Landsat 5, row 29, path 46. 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 LT50460291987209XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-18T19:35:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1985-04-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1985-04-08 (15:16:47.2740060Z) by Landsat 5, row 33, path 15. 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 LT50150331985098XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T15:40:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-09-10
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 2004-09-10 (15:39:55.9450440Z) by Landsat 5, row 042, path 016. Cloud cover was 12.82 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 LT50160422004254GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:55:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-10-12
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 2004-10-12 (15:40:38.6690750Z) by Landsat 5, row 042, path 016. Cloud cover was 29.61 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 LT50160422004286GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-24T01:14:20Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-10-28
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 2004-10-28 (15:40:58.8180880Z) by Landsat 5, row 042, path 016. Cloud cover was 4.28 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 LT50160422004302GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:59:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-11-13
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 2004-11-13 (15:41:14.8390310Z) by Landsat 5, row 042, path 016. Cloud cover was 0.31 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 LT50160422004318GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T14:21:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-11-29
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 2004-11-29 (15:41:35.5670940Z) by Landsat 5, row 042, path 016. 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 LT50160422004334GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:46:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-12-15
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 2004-12-15 (15:41:55.0860810Z) by Landsat 5, row 042, path 016. Cloud cover was 0.16 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 LT50160422004350GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:46:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2004-12-31
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 2004-12-31 (15:42:09.0520810Z) by Landsat 5, row 042, path 016. Cloud cover was 29.75 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 LT50160422004366GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:58:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2005-02-01
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 2005-02-01 (15:42:31.6750940Z) by Landsat 5, row 042, path 016. Cloud cover was 0.03 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 LT50160422005032GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T14:39:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2005-02-17
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 2005-02-17 (15:42:48.7020810Z) by Landsat 5, row 042, path 016. Cloud cover was 0.48 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 LT50160422005048GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:46:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2005-03-05
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 2005-03-05 (15:43:03.5690190Z) by Landsat 5, row 042, path 016. 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 LT50160422005064GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T14:35:02Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2005-03-21
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 2005-03-21 (15:43:13.7700560Z) by Landsat 5, row 042, path 016. Cloud cover was 23.24 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 LT50160422005080GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-24T01:07:59Z.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.