Corine Land Cover 2000 (raster 250m) - version 17, Dec. 2013

With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.

Date (Publication): 2014-03-31

Date (Creation): 2014-03-20

Edition: 17

Citation identifier: eea_r_3035_250_m_clc-2000_p_2000_v17_r00

Status: Obsolete

Point of contact

Organisation name	Individual name	Electronic mail address	Website	Role
European Environment Agency		sdi@eea.europa.eu	http://www.eea.europa.eu	Point of contact
European Environment Agency		sdi@eea.europa.eu		Custodian
European Environment Agency	Mauro Michielon	sdi@eea.europa.eu		Processor

Maintenance and update frequency: Biannually

GEMET - INSPIRE themes, version 1.0

Land cover

Keywords

EEA topics

Land use

Use limitation: 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 ( http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).

Access constraints: Other restrictions

Other constraints: no limitations to public access

Spatial representation type: Grid

Distance: 250 m

Language of dataset: English

Character set: UTF8

Topic category

Environment

Begin date: 2000-01-01

End date: 2000-12-31

Coordinate reference system identifier: EPSG:3035

Distribution format

GeoTIFF ( )

OnLine resource

Protocol	Linkage	Name
EEA:FILEPATH	https://sdi.eea.europa.eu/webdav/datastore/public/eea_r_3035_250_m_clc-2000_p_2000_v17_r00/
WWW:URL	https://sdi.eea.europa.eu/data/182278ba-dadf-44f7-93a9-4f516dc4d912	Direct download

Hierarchy level: Dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Explanation: See the referenced specification

Statement: Input data: Corine Land Cover 2000 vector v17 (file geodatabase v10)

Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities

- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1].

- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]

- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]

[0]: docs/rasterize.sh

[1]: docs/layer_code.list

[2]: docs/clc_legend.csv

[3]: docs/legend_250.vrt