Data
Indices of climate, soil and vegetation quality
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European data
ZIP compressed ESRI GRID, raster data
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ZIP compressed ESRI GRID, raster data
(ZIP archive)
633.66 KB Download file
ZIP compressed ESRI GRID, raster data
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ZIP compressed ESRI GRID, raster data
(ZIP archive)
16.06 MB Download file
ZIP compressed ESRI GRID, raster data
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ZIP compressed ESRI GRID, raster data
(ZIP archive)
595.24 KB Download file
Methodology
Mapping sensitivity to desertification (DISMED), 2003
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Mapping sensitivity to desertification (DISMED), 2003
(PDF document)
883.89 KB Download file
Metadata
- Relation:
- Derived data set: Desertification in the Mediterranean region
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Rights:
- EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright).
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Methodology:
Climate quality index: Climatic aspects has been analyzed through the Aridity index (AI), using the methodology developed by FMA in accordance with the following formula
AI = P / PET where AI = Aridity index P = Yearly mean rainfall PET = Yearly mean potential evapotranspiration
Soil quality index: The soil quality index (SQI), developed by Sahara and Sahel Observatory (OSS), is based on four parameters:
- Parental material
- Soil depth
- Texture
- Slope
SQI is given by the geometric average of the indices for the four parameters:
SQI: = (Parental material * soil depth * texture * slope) raised to the 0,25 power
In case local data are not available for a single parameter, only the remaining parameters were used.
Vegetation quality index: Each CLC clas was assigned a value for each of these four parameters: erosion protection, resistance to drought, ground coverage. The same range of values was used for all four parameters: 0 (excluded from futher consideration), 1 (good), 1.5 (moderate), 2 (bad).
VQI is given by the geometric average of the indexes for the four parameters:
VQI = (ResistFire * ErosionProtection * ResistDrought * Coverage) raised to the 0,25 power
See, also: http://dismed.eionet.eu.int/Facilities/dismed_products/VQI
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Data sources
Climate quality index: Coast Layer: - ESRI Digital Chart of the World 1:1M Digital Elevation Model: - USGS/EDC GTOPO 30 Rainfall data: - FAOCLIM 2 database (version 2.01) Temperature data: - FAOCLIM 2 database (version 2.01) Penman values: - FAOCLIM 2 database (version 2.01) - Portuguese Meteorological Institute (for Portugal only)
Soil quality index: European Soil Database (ESDB) version 1 from Joint Research Center
Vegetation quality index: Corine land cover 1990 from European Environment Agency
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Owners:
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Processors:
- Applied Meteorology Foundation (FMA)
- The European Topic Centre on Land Use and Spatial Information
Additional information
Climate data in DISMED will be based on the aridity index, which requires a harmonized way of computing evapotransipration, that at present differs among countries. In this respect FMA will be in charge of defining the most suitable algorithm(s) concerning evapotranspiration and the correct time frame, which depends on the available data and on the methodological approach adopted. Soil quality index: This index is one of the components of the sensitivity to desertification index for UNCCD annex IV countries (convention text). It is based on: soil parent material, soil depth, soil texture and the slope of the land surface. Vegetation quality index: This index is one of the components of the sensitivity to desertification index for UNCCD annex IV countries (convention text). It is based four aspects of the vegetation: the fire risk, the protection provided against different types of erosion, the resistance to water shortages and the amount of land surface coverage. The dataset was created by assigning values for each parameter to Corine Land Cover third level classes.
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Geographic coverage
Temporal coverage
For references, please go to https://www.eea.europa.eu/data-and-maps/data/indices-of-climate-soil-and-vegetation-quality or scan the QR code.
PDF generated on 27 Sep 2022, 04:40 PM
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