Global Land Survey.

Dataset Identification:

Resource Abstract:
description: The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from five sensors: Operational Land Imager, Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. This newest version combines all of the GLS data into one collection which has all of the combined collections. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. The datasets have been improved in order to give spatial continuity across all decadal collections. Most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This collection provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.; abstract: The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from five sensors: Operational Land Imager, Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. This newest version combines all of the GLS data into one collection which has all of the combined collections. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. The datasets have been improved in order to give spatial continuity across all decadal collections. Most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This collection provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.
Citation
Title Global Land Survey.
creation  Date   2018-05-20T03:01:20.336391
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Linkage for online resource
name Dublin Core references URL
URL: https://earthexplorer.usgs.gov
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.
Linkage for online resource
name Dublin Core references URL
URL: https://lta.cr.usgs.gov/GLS
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.

Metadata data stamp:  2018-08-06T19:52:42Z
Resource Maintenance Information
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notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based on a transform by Damian Ulbricht. Run on 2018-08-06T19:52:42Z
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organisation Name  CINERGI Metadata catalog
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electronic Mail Address cinergi@sdsc.edu
Metadata language  eng
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:  2007
Metadata record identifier:  urn:dciso:metadataabout:ebf09c3b-0e66-47a5-a0be-f7d7024a464b

Metadata record format is ISO19139 XML (MD_Metadata)