LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1993-12-26

  • blank blank
Description:

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1993-12-26 (15:08:07.9380190Z) by Landsat 5, row 33, path 15. 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 LT50150331993360XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:13:56Z. https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.504.1

Metadata

Name Value Last Modified
@context
  • @context: http://schema.org
  • @type: Dataset
  • datePublished: 2015-05-05
  • description: This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1993-12-26 (15:08:07.9380190Z) by Landsat 5, row 33, path 15. 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 LT50150331993360XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:13:56Z.
  • identifier: doi:10.6073/pasta/dc71b5e9a493da6e8453d32dc3713450
  • includedInDataCatalog:
    • @id: https://environmentaldatainitiative.org
    • @type: DataCatalog
    • description: The Environmental Data Initiative is an NSF-funded project accelerating curation and archive of environmental data, emphasizing data from projects funded by the NSF DEB. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER).
    • funder:
      • @type: Organization
      • name: U.S. National Science Foundation
    • name: Environmental Data Initiative
    • url: https://portal.edirepository.org/nis
  • keywords:
    • Baltimore Ecosystem Study
    • BES LTER
    • Long Term Ecological Research Program
    • Landsat ETM
    • Landsat Enhanced Thematic Mapper
    • NASA
    • USGS
    • remote sensing
    • satellite data
    • imagery
    • earth observation
    • LEDAPS
    • Landsat Ecosystem Disturbance Adaptive Processing System
    • top-of-atmosphere reflectance
  • name: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1993-12-26
  • publisher:
    • @id: https://environmentaldatainitiative.org
    • @type: Organization
    • description: The Environmental Data Initiative is an NSF-funded project accelerating curation and archive of environmental data, emphasizing data from projects funded by the NSF DEB. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER).
    • email: info@environmentaldatainitiative.org
    • name: Environmental Data Initiative
    • url: https://environmentaldatainitiative.org
  • spatialCoverage:
    • @type: Place
    • geo:
      • @type: GeoShape
      • box: 37.8866654 -75.5279879 39.9009075 -78.3337373
      • description: Covering the Baltimore Ecosystem Study site
  • url: https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.504.1
Extracted by http://clowder.ncsa.illinois.edu/extractors/deprecatedapi on Oct 7, 2020
  • @context: http://schema.org
  • @type: Dataset
  • datePublished: 2015-05-05
  • description: This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1993-12-26 (15:08:07.9380190Z) by Landsat 5, row 33, path 15. 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 LT50150331993360XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:13:56Z.
  • identifier: doi:10.6073/pasta/dc71b5e9a493da6e8453d32dc3713450
  • includedInDataCatalog:
    • @id: https://environmentaldatainitiative.org
    • @type: DataCatalog
    • description: The Environmental Data Initiative is an NSF-funded project accelerating curation and archive of environmental data, emphasizing data from projects funded by the NSF DEB. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER).
    • funder:
      • @type: Organization
      • name: U.S. National Science Foundation
    • name: Environmental Data Initiative
    • url: https://portal.edirepository.org/nis
  • keywords:
    • Baltimore Ecosystem Study
    • BES LTER
    • Long Term Ecological Research Program
    • Landsat ETM
    • Landsat Enhanced Thematic Mapper
    • NASA
    • USGS
    • remote sensing
    • satellite data
    • imagery
    • earth observation
    • LEDAPS
    • Landsat Ecosystem Disturbance Adaptive Processing System
    • top-of-atmosphere reflectance
  • name: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1993-12-26
  • publisher:
    • @id: https://environmentaldatainitiative.org
    • @type: Organization
    • description: The Environmental Data Initiative is an NSF-funded project accelerating curation and archive of environmental data, emphasizing data from projects funded by the NSF DEB. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER).
    • email: info@environmentaldatainitiative.org
    • name: Environmental Data Initiative
    • url: https://environmentaldatainitiative.org
  • spatialCoverage:
    • @type: Place
    • geo:
      • @type: GeoShape
      • box: 37.8866654 -75.5279879 39.9009075 -78.3337373
      • description: Covering the Baltimore Ecosystem Study site
  • url: https://portal.edirepository.org/nis/metadataviewer?packageid=lter-landsat-ledaps.504.1

No extraction events recorded.

Statistics

Views: 312
Last viewed: Mar 29, 2024 05:53:24
Downloads: 0
Last downloaded: Never
Last Modified: Oct 07, 2020 19:20:31

Spaces containing the Dataset

edi
28248 datasets |

Collections containing the Dataset

Tags