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Home Data and maps Datasets Corine land cover 2000 (CLC2000) 100 m - version 9/2007

Corine land cover 2000 (CLC2000) 100 m - version 9/2007

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One of the major tasks undertaken in the framework of the Corine programme has been the establishment of a computerised inventory on land cover

Themes
Natural resources Natural resources
Land use Land use

European data set

Corine land cover 2000 classes and RGB color codes

[+] Show table definition (records:   47)

Clc_code Land cover code varchar(3) 0
Grid_code int(4) 0
Label1 Land cover nomenclature labels at level 1 varchar(255) 0
Label2 Land cover nomenclature labels at level 2 varchar(255) 0
Label3 Land cover nomenclature labels at level 3 varchar(255) 0
Level1 Land cover code at level 1 varchar(255) 0
Level2 Land cover code at level 2 varchar(255) 0
Level3 Land cover code at level 3 varchar(255) 0
RGB RGB color code varchar(15) 0

GIS data

CLC2000 100 m. Zipped TIFF format, raster data

Methodology

Image2000 and CLC2000 products and methods (zipped pdf format)
Spatial and temporal coverage of the Corine land cover 1990 and 2000 projects (pdf format)

Produced maps and graphs

Reporting obligations (ROD)

Metadata

Permalink:
41ADA175-6EA3-488B-90A4-F69D38F0B207
Link to latest version:
2060B49C-342F-4A37-923C-F0C7857F3161
Relation:
Parent data set:  Corine land cover 2000 (CLC2000) seamless vector database
Derived data set:  Population density disaggregated with Corine land cover 2000
Derived data set:  Population density disaggregated with Corine land cover 2000
Geographical coverage:

EU15, EU25, EU27, Albania, Bosnia and Herzegovina, Croatia, Montenegro, Serbia

 
Geographic information quality label:
Completeness:
        
Good
Logical consistency:
        
Excellent
Position accuracy:
        
Excellent
Temporal accuracy:
        
Excellent
Thematic accuracy:
        
Excellent
Publish date:
26 Sep 2007
Tags:
CLC2000 | Corine | EEA owned data sets | geospatial data | land cover | raster data
Last upload:
26 Sep 2007
Scale of the data set:
1:100000
Additional information:

Data on land cover is necessary for the environmental policy as well as for other such as regional development and agriculture policies. At the same time it provides one of the basic inputs for the production of more complex information on other themes (soil erosion, pollutant emissions into the air by the vegetation, etc.). The objectives of the land cover project are: - to provide those responsible for and interested in the European policy on the environment with quantitative data on land cover, which is consistent and comparable across Europe; - to prepare one comprehensive land cover database for the 25 EC member states and other European countries, at an original scale of 1: 100 000, using 44 classes of the 3-level Corine nomenclature. See the Corine land cover 2000 brochure For more information, see also http://terrestrial.eionet.europa.eu/CLC2000

Geographic accuracy:
Data is based on: IMAGE2000 as the geometric reference for the CLC databases with accuracy <=25m and vector CLC2000 data with accuracy better than 100m.
Methodology:
Data are derived raster product based on rasterization of vector CLC00 database as provided by National Teams within ICLC2000 project. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). The resolution of the raster data is 100 x 100 metres, compatible with standard EEA reference grids (as released 08 April 2005). Rasterized from vector polygonal data withing ESRI Spatial Analyst environment Each cell on the resulting output raster dataset from the conversion process is assigned based on the value of the polygon found at the center of each cell. Please visit this site for more information about Corine projects http://reports.eea.europa.eu/search_results?SearchTitle=CORINE
Coordinate reference system:
EPSG:3035
Owners:
European Environment Agency
Processors:
The European Topic Centre on Land Use and Spatial Information
 

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