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SRT2-type drylands: population density

 

SRT2-type drylands: population density

 

Gridded Population of the World, version 3 (GPWv3)

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

Population Density Grids

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3): Population Density Grids. Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

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Metadataclose[x]

SRT2-type drylands: population density

 

Gridded Population of the World, version 3 (GPWv3)

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

Population Density Grids

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3): Population Density Grids. Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

SRT3-type drylands: land degradation

 

SRT3-type drylands: land degradation

Global Assessment of Human-induced Soil Degradation (GLASOD)
The GLASOD project (1987-1990) has produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform Guidelines and international correlation. The status of soil degradation was mapped within loosely defined physiographic units (polygons), based on expert judgement. The type, extent, degree, rate and main causes of degradation have been printed on a global map, at a scale of 1:10 million, and documented in a downloadable database. Information about the areal extent of human-induced soil degradation can be found in an explanatory note.

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Metadataclose[x]

SRT3-type drylands: land degradation

Global Assessment of Human-induced Soil Degradation (GLASOD)
The GLASOD project (1987-1990) has produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform Guidelines and international correlation. The status of soil degradation was mapped within loosely defined physiographic units (polygons), based on expert judgement. The type, extent, degree, rate and main causes of degradation have been printed on a global map, at a scale of 1:10 million, and documented in a downloadable database. Information about the areal extent of human-induced soil degradation can be found in an explanatory note.
SRT3-type drylands: rainfall variability

 

SRT3-type drylands: rainfall variability

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Metadataclose[x]

SRT3-type drylands: rainfall variability

SRT2-type drylands: land degradation

 

SRT2-type drylands: land degradation

Global Assessment of Human-induced Soil Degradation (GLASOD)
The GLASOD project (1987-1990) has produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform Guidelines and international correlation. The status of soil degradation was mapped within loosely defined physiographic units (polygons), based on expert judgement. The type, extent, degree, rate and main causes of degradation have been printed on a global map, at a scale of 1:10 million, and documented in a downloadable database. Information about the areal extent of human-induced soil degradation can be found in an explanatory note.

Metadata Download Full Metadata

Metadataclose[x]

SRT2-type drylands: land degradation

Global Assessment of Human-induced Soil Degradation (GLASOD)
The GLASOD project (1987-1990) has produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform Guidelines and international correlation. The status of soil degradation was mapped within loosely defined physiographic units (polygons), based on expert judgement. The type, extent, degree, rate and main causes of degradation have been printed on a global map, at a scale of 1:10 million, and documented in a downloadable database. Information about the areal extent of human-induced soil degradation can be found in an explanatory note.
SRT2-type drylands: aridity index

 

SRT2-type drylands: aridity index

The Global-Aridity surface shows moisture availability for potential growth of reference vegetation excluding the impact of soil mediating water runoff events. UNEP (UNEP 1997) breaks up Aridity Index, in the traditional classification scheme presented below. 
Value Climate Class
< 0.03
 Hyper Arid
0.03 – 0.2
 Arid
0.2 – 0.5
 Semi-Arid
0.5 – 0.65
 Dry sub-humid
> 0.65
Humid

Metadata Download Full Metadata

Metadataclose[x]

SRT2-type drylands: aridity index

The Global-Aridity surface shows moisture availability for potential growth of reference vegetation excluding the impact of soil mediating water runoff events. UNEP (UNEP 1997) breaks up Aridity Index, in the traditional classification scheme presented below. 
Value Climate Class
< 0.03
 Hyper Arid
0.03 – 0.2
 Arid
0.2 – 0.5
 Semi-Arid
0.5 – 0.65
 Dry sub-humid
> 0.65
Humid
SRT3-type drylands: land use/land cover

 

SRT3-type drylands: land use/land cover

The GlobCover Project

Overview

The GLOBCOVER project was launched 2004 as an initiative of ESA which is now evolving to an international collaboration between ESA, FAO, UNEP, JRC, IGBP and GOFC-GOLD. The objective of GLOBCOVER is to produce a global land-cover map for the year 2005, using as main source of data the fine resolution (300 m) mode data from MERIS sensor on-board ENVISAT satellite, acquired over the full year 2005. This new product intends to complement and update other existing comparable global products, such as the global land cover map for the year 2000 (GLC 2000) with a resolution of 1 km produced by the JRC. Appropriate approaches for the validation of the land cover products are planned to be defined in consultation with CEOS.

GlobCover 2009 land cover map (1 product a year):
The land cover map is derived by an automatic and regionally-tuned classification of a time series of global MERIS FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS).

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Metadataclose[x]

SRT3-type drylands: land use/land cover

The GlobCover Project

Overview

The GLOBCOVER project was launched 2004 as an initiative of ESA which is now evolving to an international collaboration between ESA, FAO, UNEP, JRC, IGBP and GOFC-GOLD. The objective of GLOBCOVER is to produce a global land-cover map for the year 2005, using as main source of data the fine resolution (300 m) mode data from MERIS sensor on-board ENVISAT satellite, acquired over the full year 2005. This new product intends to complement and update other existing comparable global products, such as the global land cover map for the year 2000 (GLC 2000) with a resolution of 1 km produced by the JRC. Appropriate approaches for the validation of the land cover products are planned to be defined in consultation with CEOS.

GlobCover 2009 land cover map (1 product a year):
The land cover map is derived by an automatic and regionally-tuned classification of a time series of global MERIS FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS).
SRT3-type drylands: population density

 

SRT3-type drylands: population density

 

Gridded Population of the World, version 3 (GPWv3)

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

Population Density Grids

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3): Population Density Grids. Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

Metadata Download Full Metadata

Metadataclose[x]

SRT3-type drylands: population density

 

Gridded Population of the World, version 3 (GPWv3)

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

Population Density Grids

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3): Population Density Grids. Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.

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