Dataset Identification:
Resource Abstract:
- description: ABSTRACT: This data set is a subset of Hansen et al. (1999), "1 km Global Land Cover Data Set Derived from
AVHRR," which was developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland.
This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America
(i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID file format.In recent years, researchers have
increasingly turned to remotely sensed data to improve the accuracy of data sets that describe the geographic distribution
of land cover at regional and global scales. To develop improved methodologies for global land cover classifications as well
as to provide global land cover products for immediate use in global change research, LGRSS researchers have employed the
NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 1 km. The PAL data set has a record length of
14 years (1981-1994), providing the ability to test the stability of classification algorithms. The PAL data set includes
red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional
bands improves discrimination between cover types. The LGRSS researchers' aim was to develop and validate global land
cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based
on satellite data.The 1-km global land cover product was created from 1992-1993 local area coverage (LAC) AVHRR data. The
global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF)
Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Forty-one metrics were developed to describe global vegetation
phenology, and these data were used to make the 1-km land cover map. The final product contains 13 land cover classes.More
information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/land_cover_data_1km/comp/glcf1km_readme.pdf.LBA
was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was
designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological
functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth
system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.; abstract: ABSTRACT: This
data set is a subset of Hansen et al. (1999), "1 km Global Land Cover Data Set Derived from AVHRR," which was developed
at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. This subset was created for the
study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25
S, longitude 30 to 85 W). The data are in ASCII GRID file format.In recent years, researchers have increasingly turned to
remotely sensed data to improve the accuracy of data sets that describe the geographic distribution of land cover at regional
and global scales. To develop improved methodologies for global land cover classifications as well as to provide global land
cover products for immediate use in global change research, LGRSS researchers have employed the NASA/NOAA Pathfinder AVHRR
Land (PAL) data set with a spatial resolution of 1 km. The PAL data set has a record length of 14 years (1981-1994), providing
the ability to test the stability of classification algorithms. The PAL data set includes red, infrared, and thermal bands
in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination
between cover types. The LGRSS researchers' aim was to develop and validate global land cover data sets and to develop
advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The 1-km global
land cover product was created from 1992-1993 local area coverage (LAC) AVHRR data. The global land cover product is available
for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml).
Forty-one metrics were developed to describe global vegetation phenology, and these data were used to make the 1-km land cover
map. The final product contains 13 land cover classes.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/land_cover_data_1km/comp/glcf1km_readme.pdf.LBA
was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was
designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological
functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth
system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.
Citation
- Title LBA Regional Land Cover from AVHRR, 1-km, 1992-1993 (Hansen et al.).
-
- creation Date
2018-07-09T04:01:05.644248
Resource language:
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- Linkage for online resource
-
- name Dublin Core references URL
- URL: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=678
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T23:21:39Z
Resource Maintenance Information
- maintenance or update frequency:
- 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 2018-08-06T23:21:39Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
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-
- Address
-
- 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:da785899-eb2f-4c16-8341-e905278ab15d
Metadata record format is ISO19139 XML (MD_Metadata)