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Data

Corine Land Cover 2006 raster data

Data
Prod-ID: DAT-37-en
Created 20 Mar 2014 Published 08 Apr 2014 Last modified 26 Mar 2019
2 min read
This is an old version, kept for reference only.

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This page was archived on 09 Dec 2016 with reason: Other (New version data-and-maps/data/clc-2006-raster-4 was published)
Version 17 (12/2013) - Raster data on land cover for the CLC2006 inventory

GIS data

Additional information

Corine land cover 2006 classes and RGB color codes
QGIS compliant colourmap

Courtesy of P.Cavallini

ESRI compliant .prj file
INSPIRE compliant metadata set
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  • 7a53f7fa-a3db-4e51-b52f-4285de6ab7b2
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Metadata

Relation:
Derived data set:  Coverage of Corine land cover classes inside Natura 2000 sites aggregated by NUTS regions
information.png 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). Copyright holder: European Environment Agency (EEA).
information.png Coordinate reference system:
EPSG:3035
information.png Data sources

The European Topic Centre on Spatial Information and Analysis. Date of delivery: December 2013

information.png Owners:
European Environment Agency (EEA)
information.png Processors:

Additional information

NOTE: due to rasterization mistake in setting the extent window, a revised version has been uploaded on date 8 april 2014.

The resolution of the data is 100 x 100 and 250 x 250 meters.
No pre-built pyramids in data.

Note that a "Deflate" compression algorithm is used to generate the files. Some Microsoft Windows systems might handle the file in an erratic way: should be the case, disable the automatic thumbnail generation option.

 

Related content

Derived dataset

Data Coverage of Corine land cover classes inside Natura 2000 sites aggregated by NUTS regions Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. This statistic provides information about the land cover inside Natura 2000 sites, version 2015. It is calculated using a raster approach. The coverage (km2) of Corine land cover (CLC) classes inside Natura 2000 sites aggregated by NUTS regions. The resulting statistic has three pivot tables, one for the CLC area in Natura 2000 sites designated under the Birds Directive (SPAs) only, one for the CLC area in Natura 2000 sites designated under the Habitats Directive (SCIs/SACs) only and one for the CLC area in the full Natura 2000 network, i.e. sites designated under both Directives.

Interactive charts

Produced Indicators

Produced figures

Figure Land Use in the German Elbe Basin This map depicts the Elbe river basin land cover within Germany and the locations of German Elbe authorities.
Figure National distribution of forest connectivity for year 2006 and forest connectivity change in the period 2000-2006 The map show the proportion of landscape units per connectivity range reported by country for the year 2006. The trend (medium/low increase/decrease or stable) in the proportion of units in a high connectivity range (above 50%) is given for the period 2000-2006 per country. Species dispersing is 1 km.
Figure Spread of artificial and/or agricultural surfaces into previously ‘core natural/semi-natural’ landscapes The map shows the spread of artificial and/or agricultural surfaces into previously ‘core natural/semi-natural’ landscapes for the period 2000-2006. Reporting is made per province (NUTS 2/3), both in terms of absolute area (ha) and proportionally to the ‘core natural’ pattern cover in 2000. For example, one province in the West of Spain had its ‘core natural’ pattern reduced by 1.5% to 3% due to fragmentation by agricultural and/or artificial lands, from a cumulative area of more than 10 000 ha.
Figure Condition of Agro ecosystems map The map shows the condition of agro ecosystems map. Based on pan-European High Nature Value farmland map using as mask the agricultural categories of Corine land cover map of 2006.
Figure Aggregated indicator for management intensity pressure on cropland Aggregated indicator for management intensity pressure on cropland (arable land) as combination of land management (fertiliser and irrigation) and crop yield. low index = low degree of agricultural management related pressures; high index = high degree of agricultural management related pressures.
Figure Ecosystem type map (aggregated classes) Ecosystem type map v2.1 - aggregated classes - (EUNIS Level 2) derived from CORINE Land Cover and additional spatial explicite european datasets according to defined rule set. The rule set builds on the crosswalk between EUNIS nomenclature and CORINE Land Cover nomenclature. The multiple assignements are resolved using additional data like Art. 17 reporting data on habitat types, soil data, HANTS phenological data, potential natural vegetation, elevation zones, etc.
Figure
Draft
Estimated soil erosion by wind on European arable land Soil loss rates by wind (tonnes per hectare per year) on arable land, estimated by the GIS-RWEQ model for 1.17 million cells (of ca. 1 km spatial resolution, into which the arable land of the 28 European Union Member States was subdivided) (Borrelli et al., 2016).

See also

Used in indicators

Indicator Specification Exposure of Europe's ecosystems to acidification, eutrophication and ozone This indicator shows the negative impact of air pollution on ecosystems and vegetation in Europe. In particular, it shows: ecosystem areas with exceedances of the critical loads for acidification and eutrophication; and exposure of areas covered with vegetation (crops and forests) to ground-level ozone, the latest available rural concentrations of ozone and the annual variation of rural concentrations of ozone  at the European level . In the case of acidification and eutrophication, the area as well as the magnitude of critical load exceedances in ecosystems are shown. A critical load is a quantitative estimate of an exposure to one or more pollutants, below which significant harmful effects on specified sensitive elements of the environment do not occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015). It represents the upper limit of one or more pollutants deposited on the Earth's surface that an ecosystem, such as a lake or a forest, can tolerate without its function (e.g. the nutrient nitrogen cycle) or its structure (e.g. with respect to plant species' richness) being damaged. A positive difference between the deposition loads of acidifying and/or eutrophying airborne pollutants and the critical loads is termed an 'exceedance'. In the case of ozone, the risk is estimated by reference to either a target value and a long-term objective, or to the 'critical level' for ozone for each location. The target value and the long-term objective are levels fixed with the aim of avoiding, preventing or reducing harmful effects on the environment. For ozone, the critical level is a concentration in the atmosphere, above which direct adverse effects on receptors, such as human beings, plants, ecosystems or materials, may occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015).   
Indicator Specification Fragmentation of natural and semi-natural areas This indicator shows the proportion of and trends in natural and semi natural areas, on the basis of land cover maps produced by the photo-interpretation of satellite imagery.
Indicator Specification Exposure of ecosystems to acidification, eutrophication and ozone This indicator shows the negative impact of air pollution on ecosystems and vegetation in Europe. In particular, it shows: ecosystem areas with exceedances of the critical loads for acidification and eutrophication; and exposure of areas covered with vegetation (crops and forests) to ground-level ozone, last year's rural concentrations of ozone, and the annual variation at the European level of rural concentrations of ozone.   In the case of acidification and eutrophication, the area as well as the magnitude of critical load exceedances in ecosystems are shown. A critical load is a quantitative estimate of an exposure to one or more pollutants, below which significant harmful effects on specified sensitive elements of the environment do not occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015). It represents the upper limit of one or more pollutants deposited on the Earth's surface that an ecosystem, such as a lake or a forest, can tolerate without its function (e.g. the nutrient nitrogen cycle) or its structure (e.g. with respect to plant species' richness) being damaged . A positive difference between the deposition loads of acidifying and/or eutrophying airborne pollutants and the critical loads is termed an 'exceedance'. In the case of ozone, the risk is estimated by reference to the 'critical level' for ozone for each location. This is a concentration of ozone in the atmosphere, above which direct adverse effects on receptors, such as human beings, plants, ecosystems or materials, may occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015). 
Indicator Specification Ecosystem coverage Proportional and absolute change in extent and turnover of land cover categories aggregated to relate to main ecosystem types in Europe from 2000 to 2006. The 12 ecosystem types discussed represent (1) urban, (2) cropland, (3) agricultural mosaics, (4) woodland and forest, (5) grassland and tall forb, (6) heathland, shrub and tundra, (7) transitional woodland, (8) sparsely vegetated land, (9) inland wetlands, (10) coastal, (11) rivers and lakes and (12) marine areas. This indicator is based on photo-interpretation of satellite imagery, and gives a 'wall to wall' picture of the changes and dynamics in Europe with respect to ecosystems. Additional indicators can be used to further highlight trends in extent and state of each of the ecosystem types mentioned above using computations from other data sources.

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-3 or scan the QR code.

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