Dataset Identification:
Resource Abstract:
- description: A set of three estimates of land-cover types and annual transformations of land use are provided on a global
0.5 x0.5 degree lat/lon grid at annual time steps. The longest of the three estimates spans 1770-2010. The dataset presented
here takes into account land-cover change due to four major land-use/management activities: (1) cropland expansion and abandonment,
(2) pastureland expansion and abandonment, (3) urbanization, and (4) secondary forest regrowth due to wood harvest. Due to
uncertainties associated with estimating historical agricultural (crops and pastures) land use, the study uses three widely
accepted global reconstruction of cropland and pastureland in combination with common wood harvest and urban land data set
to provide three distinct estimates of historical land-cover change and underlying land-use conversions. Hence, these distinct
historical reconstructions offer a wide range of plausible regional estimates of uncertainty and extent to which different
ecosystem have undergone changes. The three estimates use a consistent methodology, and start with a common land-cover map
during pre-industrial conditions (year 1765), taking different courses as determined by the land-use/management datasets (cropland,
pastureland, urbanization and wood harvest) to attain forest area distributions close to satellite estimates of forests for
contemporary period. The satellite based estimates of forest area are based on MODIS sensor. All data uses the WGS84 spatial
coordinate system for mapping.; abstract: A set of three estimates of land-cover types and annual transformations of land
use are provided on a global 0.5 x0.5 degree lat/lon grid at annual time steps. The longest of the three estimates spans 1770-2010.
The dataset presented here takes into account land-cover change due to four major land-use/management activities: (1) cropland
expansion and abandonment, (2) pastureland expansion and abandonment, (3) urbanization, and (4) secondary forest regrowth
due to wood harvest. Due to uncertainties associated with estimating historical agricultural (crops and pastures) land use,
the study uses three widely accepted global reconstruction of cropland and pastureland in combination with common wood harvest
and urban land data set to provide three distinct estimates of historical land-cover change and underlying land-use conversions.
Hence, these distinct historical reconstructions offer a wide range of plausible regional estimates of uncertainty and extent
to which different ecosystem have undergone changes. The three estimates use a consistent methodology, and start with a common
land-cover map during pre-industrial conditions (year 1765), taking different courses as determined by the land-use/management
datasets (cropland, pastureland, urbanization and wood harvest) to attain forest area distributions close to satellite estimates
of forests for contemporary period. The satellite based estimates of forest area are based on MODIS sensor. All data uses
the WGS84 spatial coordinate system for mapping.
Citation
- Title Historical Land-Cover Change and Land-Use Conversions Global Dataset.
-
- creation Date
2018-02-08T01:57:45.316377
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T19:41:02Z
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 2018-08-06T19:41:02Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- 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:039ccb76-1d0a-48fc-82b0-32ce73a89b4a
Metadata record format is ISO19139 XML (MD_Metadata)