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21,179 results for “image enhancement”

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edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-07-13

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-07-13 (16:57:18.5700810Z) by Landsat 5, row 33, path 28. Cloud cover was 14.99 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 LT50280332010194PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:37:35Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-07-29

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-07-29 (16:57:13.6770750Z) by Landsat 5, row 33, path 28. Cloud cover was 7.7 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 LT50280332010210GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:36:38Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-08-14

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-08-14 (16:57:07.6940560Z) by Landsat 5, row 33, path 28. Cloud cover was 7.52 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 LT50280332010226EDC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:35:57Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-08-30

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-08-30 (16:57:04.3720250Z) by Landsat 5, row 33, path 28. Cloud cover was 5.02 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 LT50280332010242EDC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-11T21:52:39Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-10-01

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-10-01 (16:56:52.8420880Z) by Landsat 5, row 33, path 28. 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 LT50280332010274EDC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:39:32Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-10-17

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-10-17 (16:56:43.4290500Z) by Landsat 5, row 33, path 28. Cloud cover was 0.02 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 LT50280332010290PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:35:54Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2010-12-04

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2010-12-04 (16:56:36.2060000Z) by Landsat 5, row 33, path 28. Cloud cover was 17.98 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 LT50280332010338EDC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:37:40Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-01-05

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-01-05 (16:56:43.5110500Z) by Landsat 5, row 33, path 28. Cloud cover was 0.17 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 LT50280332011005PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-01T22:28:19Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2003-07-15

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 2003-07-15 (15:22:50.7430750Z) by Landsat 5, row 33, path 15. Cloud cover was 33.51 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 LT50150332003196GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-13T00:45:10Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-03-10

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-03-10 (16:56:42.9310500Z) by Landsat 5, row 33, path 28. 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 LT50280332011069PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-01T22:26:23Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-04-11

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-04-11 (16:56:34.6040690Z) by Landsat 5, row 33, path 28. 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 LT50280332011101PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:36:49Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-05-29

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-05-29 (16:56:17.2820500Z) by Landsat 5, row 33, path 28. Cloud cover was 23.77 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 LT50280332011149PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:41:16Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-06-30

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-06-30 (16:56:01.5820310Z) by Landsat 5, row 33, path 28. 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 LT50280332011181PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-19T16:45:06Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-07-16

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-07-16 (16:55:55.4000750Z) by Landsat 5, row 33, path 28. Cloud cover was 5.31 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 LT50280332011197PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:40:27Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-08-01

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-08-01 (16:55:45.5370880Z) by Landsat 5, row 33, path 28. 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 LT50280332011213PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-09T21:45:51Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-09-02

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-09-02 (16:55:28.0800380Z) by Landsat 5, row 33, path 28. 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 LT50280332011245PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-11T18:21:37Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-10-04

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-10-04 (16:54:54.5910810Z) by Landsat 5, row 33, path 28. 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 LT50280332011277GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-19T15:44:31Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-10-20

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-10-20 (16:54:46.9250380Z) by Landsat 5, row 33, path 28. 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 LT50280332011293PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-11T18:21:25Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2011-11-05

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER, originally collected on 2011-11-05 (16:54:31.3410130Z) by Landsat 5, row 33, path 28. Cloud cover was 27.39 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 LT50280332011309PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-11T18:21:27Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2003-08-16

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 2003-08-16 (15:23:26.1480130Z) by Landsat 5, row 33, path 15. Cloud cover was 48.17 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 LT50150332003228GNC02, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-07T19:25:52Z.

openOpenJan 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record