3 datasets found
  1. FAO-NRL

    • datacore-gn.unepgrid.ch
    ogc:wms +1
    Updated Mar 18, 2014
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    Global Land Cover Share Database 1Km (FAO) (2014). FAO-NRL [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/d998d1f2-e9a5-4a40-bb78-03f5a5094f98
    Explore at:
    www:link-1.0-http--link, ogc:wmsAvailable download formats
    Dataset updated
    Mar 18, 2014
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Time period covered
    1998 - 2012
    Area covered
    Antarctica, Antarctic Ice shield
    Description

    The Global Land Cover-SHARE (GLC-SHARE) is a new land cover database at the global level created by FAO, Land and Water Division in partnership and with contribution from various partners and institutions.

    It provides a set of major thematic land cover layers resulting by a combination of “best available” high resolution national, regional and/or sub-national land cover databases with the weighted average land cover information derived from large-scale available datasets. The database is produced with a resolution of 30 arc second (1km). The approach implemented is based on the utilization of the Land Cover Classification System (LCCS) and SEEA (System of Environmental-Economic Accounting) legend systems for the harmonization of the various global, regional and national land cover legends.

    The major benefit of the GLC-SHARE product is its capacity to preserve the existing and available high resolution land cover information at the regional and country level obtained by spatial and multi-temporal source data, integrating them with the best synthesis of global datasets.

    Preliminary validation campaign was performed using 1000 random points statistically distributed over each land cover classes.

    The database is distributed in the following eleven layers, in raster format (GeoTIFF ), whose pixel values represent the percentage of density coverage in each pixel of the land cover type. The dominant layer, representing the value of the dominant land cover type, is also available along with a legend in LYR ESRI format. Finally, information on each layer's source is retrievable in sources layer, by joining the raster values with an Excel table.

  2. f

    Dominant land cover type - Global Land Cover Share Database

    • data.apps.fao.org
    Updated Mar 1, 2024
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    (2024). Dominant land cover type - Global Land Cover Share Database [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/7f4f5ce4-9a3e-406f-bae6-efe63867329a
    Explore at:
    Dataset updated
    Mar 1, 2024
    Description

    The Global Land Cover-SHARE (GLC-SHARE) is a new land cover database at the global level created by FAO, Land and Water Division in partnership and with contribution from various partners and institutions. It provides a set of major thematic land cover layers resulting by a combination of "best available" high resolution national, regional and/or sub-national land cover databases with the weighted average land cover information derived from large-scale available datasets. The database is produced with a resolution of 30 arc second (1km). The approach implemented is based on the utilization of the Land Cover Classification System (LCCS) and SEEA (System of Environmental-Economic Accounting) legend systems for the harmonization of the various global, regional and national land cover legends. The major benefit of the GLC-SHARE product is its capacity to preserve the existing and available high resolution land cover information at the regional and country level obtained by spatial and multi-temporal source data, integrating them with the best synthesis of global datasets. Preliminary validation campaign was performed using 1000 random points statistically distributed over each land cover classes. The database is distributed in the following eleven layers, in raster format (GeoTIFF ), whose pixel values represent the percentage of density coverage in each pixel of the land cover type. The dominant layer, representing the value of the dominant land cover type, is also available along with a legend in LYR ESRI format. Finally, information on each layer's source is retrievable in sources layer, by joining the raster values with an Excel table. 01-Artificial Surfaces 02-CropLand 03-Grassland 04-Tree Covered Area 05-Shrubs Covered Area 06-Herbaceous vegetation, aquatic or regularly flooded 07-Mangroves 08-Sparse vegetation 09-BareSoil 10-Snow and glaciers 11-Waterbodies

  3. f

    Global Land Cover Share Database (2013)

    • data.apps.fao.org
    Updated Feb 28, 2024
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    (2024). Global Land Cover Share Database (2013) [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/ba4526fd-cdbf-4028-a1bd-5a559c4bff38
    Explore at:
    Dataset updated
    Feb 28, 2024
    Description

    The Global Land Cover-SHARE (GLC-SHARE) is a new land cover database at the global level created by FAO, Land and Water Division in partnership and with contribution from various partners and institutions. It provides a set of major thematic land cover layers resulting by a combination of "best available" high resolution national, regional and/or sub-national land cover databases with the weighted average land cover information derived from large-scale available datasets. The database is produced with a resolution of 30 arc second (1km). The approach implemented is based on the utilization of the Land Cover Classification System (LCCS) and SEEA (System of Environmental-Economic Accounting) legend systems for the harmonization of the various global, regional and national land cover legends. The major benefit of the GLC-SHARE product is its capacity to preserve the existing and available high resolution land cover information at the regional and country level obtained by spatial and multi-temporal source data, integrating them with the best synthesis of global datasets. Preliminary validation campaign was performed using 1000 random points statistically distributed over each land cover classes. The database is distributed in the following eleven layers, in raster format (GeoTIFF ), whose pixel values represent the percentage of density coverage in each pixel of the land cover type. The dominant layer, representing the value of the dominant land cover type, is also available along with a legend in LYR ESRI format. Finally, information on each layer's source is retrievable in sources layer, by joining the raster values with an Excel table. 01-Artificial Surfaces 02-CropLand 03-Grassland 04-Tree Covered Area 05-Shrubs Covered Area 06-Herbaceous vegetation, aquatic or regularly flooded 07-Mangroves 08-Sparse vegetation 09-BareSoil 10-Snow and glaciers 11-Waterbodies

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Click to copy link
Link copied
Close
Cite
Global Land Cover Share Database 1Km (FAO) (2014). FAO-NRL [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/d998d1f2-e9a5-4a40-bb78-03f5a5094f98
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FAO-NRL

Global Land Cover Share Database 1Km (FAO)

Explore at:
64 scholarly articles cite this dataset (View in Google Scholar)
www:link-1.0-http--link, ogc:wmsAvailable download formats
Dataset updated
Mar 18, 2014
Dataset provided by
Food and Agriculture Organizationhttp://fao.org/
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Time period covered
1998 - 2012
Area covered
Antarctica, Antarctic Ice shield
Description

The Global Land Cover-SHARE (GLC-SHARE) is a new land cover database at the global level created by FAO, Land and Water Division in partnership and with contribution from various partners and institutions.

It provides a set of major thematic land cover layers resulting by a combination of “best available” high resolution national, regional and/or sub-national land cover databases with the weighted average land cover information derived from large-scale available datasets. The database is produced with a resolution of 30 arc second (1km). The approach implemented is based on the utilization of the Land Cover Classification System (LCCS) and SEEA (System of Environmental-Economic Accounting) legend systems for the harmonization of the various global, regional and national land cover legends.

The major benefit of the GLC-SHARE product is its capacity to preserve the existing and available high resolution land cover information at the regional and country level obtained by spatial and multi-temporal source data, integrating them with the best synthesis of global datasets.

Preliminary validation campaign was performed using 1000 random points statistically distributed over each land cover classes.

The database is distributed in the following eleven layers, in raster format (GeoTIFF ), whose pixel values represent the percentage of density coverage in each pixel of the land cover type. The dominant layer, representing the value of the dominant land cover type, is also available along with a legend in LYR ESRI format. Finally, information on each layer's source is retrievable in sources layer, by joining the raster values with an Excel table.

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