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Copernicus Land Monitoring Service - Corine Land Cover

Data
Prod-ID: DAT-195-en
Created 07 Dec 2017 Published 07 Jan 2019 Last modified 03 Dec 2021
1 min read
Topics:
The CORINE Land Cover (CLC) inventory was initiated in 1985 (reference year 1990) to standardize data collection on land in Europe to support environmental policy development. Updates were produced in 2000, 2006, 2012 and 2018. Change layers were produced for 2000, 2006, 2012 and 2018.

GIS data

Corine updates
  • CLC 2018
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  • CLC 2012
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  • CLC 2006
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  • CLC 2000
    Download file
  • CLC 1990
    Download file
CLC change layers
  • CLC change 2012-2018
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  • CLC change 2006-2012
    Download file
  • CLC change 2000-2006
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  • CLC change 1990-2000
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Metadata

information.png Reporting obligations (ROD)
  • Not applicable
information.png Related websites
information.png Rights:
Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that:
1.When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.
2.Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.
3.Where that data or information has been adapted or modified, the user shall clearly state this.
4.The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.
information.png Coordinate reference system:
EPSG:3035
information.png Data sources

Data delivered by the external service provider.

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

Related content

Interactive charts

Data Visualization Changes in the coverage of MAES ecosystem types in the European Union and the United Kingdom between 2012 and 2018
Data Visualization Changes in MAES ecosystems in the EU between 2012 and 2018: previous status of newly urban land
Data Visualization Yearly land take and net land take in EU-28 and EEA-39 regions
Data Visualization Yearly land take per major land cover category in the EU-28 for all Corine Land Cover observation periods
Dashboard (Tableau) Land cover and change statistics 2000-2018 This interactive data viewer provides an easy and comprehensive access to land cover accounts for Europe (EEA39 and EU28) derived from the CORINE land cover data series. Statistics are calculated for every 6 years of the acquisition period, as well as for the entire period (2000-2018). The viewer facilitates the assessment of land cover consumed or created over a specific period and the reason for the observed change (e.g. urban sprawl or arable land loss), which can be analyzed within user defined spatial units such as administrative regions, biogeographical regions or land cover classes.
Dashboard (Tableau) Land take and net land take This interactive data viewer provides a set of dashboards giving an overview of the land take and net land take processes for Europe (EEA39 and EU28) derived from the CORINE land cover data series. Statistics are derived for every 6 years of the acquisition period, as well as for the entire period (2000-2018). The viewer facilitates the assessment of land take over a specific period as well as the land use drivers of the observed changes, which can be analyzed within user defined spatial units such as administrative regions, biogeographical regions or land cover classes.
Data Visualization
Draft
Land take drivers in the EU-28 and EEA-39 regions during the periods 2000-2018 and 2012-2018
Data Visualization
Draft
Land take and re-cultivation in EEA-39 countries

Produced Indicators

Produced figures

Figure Granularity of Corine Land Cover (left) and Urban Atlas (right) data for Helsinki, Malaga and Varna The map composition intends to show the different granularity, i.e. spatial resolution, between Corine Land Cover and Urban Atlas datasets, providing three examples in three different cities from different countries.
Figure Forest land cover change in the EEA-39, 2000-2018 The map shows the loss and gain of forests aggregated in a 10 km grid. Units are in ha/km2. The following CLC classes were used: Consumption of transitional woodland (LCF71), Consumption caused by forest and shrub fires (LCF92), Consumption caused by forest management (LCF74), Afforestation (LCF72), Forest-internal conversion (LCF71, LCF73 and part of LCF74), Withdrawal of farming with woodland creation (LCF61), Total formation of forest.
Figure Spatial pattern of land take in the EEA-39, 2000-2018 Land take as a result of urban sprawl is measured from the Copernicus Corine Land Cover dataset between 2000-2018. The map shows for each grid cell the area in km2 which was converted to urban areas. For visualization land take data is presented in a 10km grid. The original data which statistics are derived from is from the 100m spatial resolution CLC dataset series.
Figure Arable land and permanent crops land cover change in the EEA-39, 2000-2018 The map shows the loss and gain of arable land and permanent crops aggregated in a 10 km grid. The following CLC classes were used: 211 Non-irrigated arable land, 212 Permanently irrigated land, 213 Rice fields, 221 Vineyards, 222 Fruit trees and berry plantations, 223 Olive groves, 241 Annual crops associated with permanent crops.
Figure Change in six major land cover types in the EEA-39 during the period 2000-2018 The chart shows the periodical change of land cover classes, expressed in km2 and calculated as a yearly value.
Figure Country comparison: land take and land recultivation in EEA39 in the period 2012-2018 (in proportion of country area). The chart shows the area of land take and recultivation for the last Corine Land Cover observation period 2012-2018 for each EEA39 country. Both land take and recultivation are expressed in m2/km2 of the country area for the sake of comparability.
Figure Spatial pattern of net land take in EEA-39 in the period 2000-2018 Net land take as a result of urban sprawl is measured from the Copernicus Corine Land Cover dataset between 2000-2018. The map shows for each grid cell the area in km² which was covered with sealed surfaces. For visualisation land take data is presented in a 10km grid.
Figure Arable land and permanent crops gains and losses between 2000 and 2018 This map shows the loss and gain of arable land and permanent crops. Changes are monitored at 1 ha level whereas the map is aggregated in a 10 km2 grid.
Figure Woodland creation This map shows spatial distribution and intensity of woodland creation (lcf61 Withdrawal of farming with woodland creation and lcf72 Forest creation, afforestation) over the territory in period 2006-2012.
Figure Expansion of artificial surfaces This map shows spatial distribution and intensity of expansion of artificial surfaces (lcf2 Urban residential sprawl + lcf3 Sprawl of economic sites and infrastructures) over the territory in period 2006 - 2012.
Figure Agricultural land conversions This map shows spatial distribution and intensity of main agricultural conversions (lcf52 Conversion from semi-natural land to agriculture, lcf41 Extension of set aside fallow land and pasture, lcf46 Conversion from pasture to arable and permanent crops and lcf6 Withdrawal of farming) over the territory in period 2006 - 2012.
Figure
Draft
Estimated soil erosion by water in Europe Soil loss rates (tonnes per hectare per year) calculated based on a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE 2015) for the reference year 2010 (100 m spatial resolution).

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-corine or scan the QR code.

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