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Local Area Network
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ETRS_1989_LAEA
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CalculateField CLC_Agri_GainLossFluct_90_18 start_no !code_start! PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField CLC_Agri_GainLossFluct_90_18 end_no !code_end! PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField CLC_Agri_GainLossFluct_90_18 label_long "'Change from ' + !label_star! + ' to ' + !label_end! + ' occured between ' + str(!start!) + ' and ' + str(!end_!)" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField CLC_Agri_GainLossFluct_90_18 label_long "'Change from ' + !label_star! + ' to ' + !label_end! + ' occurred between ' + str(!start!) + ' and ' + str(!end_!) + '.\n\nThe feature has an area of ' + str(round(!area_ha!, 2)) + ' hectares.'" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
Rename D:\Workspace\2025\Cop_T16\CLC_Agri_GainLossFluct_90_18.shp D:\Workspace\2025\Cop_T16\CLC_Agri_GainLossFluct_90_18_label.shp ShapeFile
ExportFeatures CLC_Agri_GainLossFluct_90_18_label C:\Workspace\2025\CopT16\CLC_Agri_Gain_06_12_label.shp # NOT_USE_ALIAS "objectid "objectid" true true false 10 Long 0 10,First,#,CLC_Agri_GainLossFluct_90_18_label,objectid,-1,-1;change "change" true true false 7 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,change,0,6;remark "remark" true true false 20 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,remark,0,19;id "id" true true false 18 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,id,0,17;code_start "code_start" true true false 3 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,code_start,0,2;code_end "code_end" true true false 3 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,code_end,0,2;area_ha "area_ha" true true false 19 Double 8 18,First,#,CLC_Agri_GainLossFluct_90_18_label,area_ha,-1,-1;chtype "chtype" true true false 1 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,chtype,0,0;start "start" true true false 10 Long 0 10,First,#,CLC_Agri_GainLossFluct_90_18_label,start,-1,-1;end_ "end_" true true false 10 Long 0 10,First,#,CLC_Agri_GainLossFluct_90_18_label,end_,-1,-1;mod "mod" true true false 254 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,mod,0,253;label_star "label_star" true true false 254 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,label_star,0,253;label_end "label_end" true true false 254 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,label_end,0,253;label_long "label_long" true true false 254 Text 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,label_long,0,253;st_area_sh "st_area_sh" true true false 19 Double 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,st_area_sh,-1,-1;st_length_ "st_length_" true true false 19 Double 0 0,First,#,CLC_Agri_GainLossFluct_90_18_label,st_length_,-1,-1;start_no "start_no" true true false 5 Long 0 5,First,#,CLC_Agri_GainLossFluct_90_18_label,start_no,-1,-1;end_no "end_no" true true false 5 Long 0 5,First,#,CLC_Agri_GainLossFluct_90_18_label,end_no,-1,-1" #
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6c00d3b1-16e0-4af9-8c3d-760a3e0c4daa
European Environment Agency
Kongens Nytorv 6
Copenhagen
K
1050
DK
sdi@eea.europa.eu
20250917
ArcGIS Metadata
1.0
Shapefile
Shapefile
http://land.copernicus.eu/pan-european/corine-land-cover/lcc-1990-2000/view
WWW:LINK-1.0-http--link
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CLC_Agri_Gain_06_12_label
2020-02-24T00:00:00
20u1
Land Cover Change (LCC) 1990-2000, Version 2020 20u1
<div style='text-align:Left;'><div><div><p><span>CHA9000 is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to land cover / land use status of year 2018. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (LCC), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. CLC belongs to the Pan-European component of the Copernicus Land Monitoring Service (https://land.copernicus.eu/), part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC product description including mapping guides can be found at https://land.copernicus.eu/user-corner/technical-library/clc2018technicalguidelines_final.pdf. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.</span></p></div></div></div>
European Environment Agency (EEA) under the framework of the Copernicus programme
Kongens Nytorv 6
Copenhagen
K
1050
DK
copernicus@eea.europa.eu
http://www.eea.europa.eu
WWW:LINK-1.0-http--link
European Environment Agency public website
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Continents, countries, sea regions of the world
2015-07-17T00:00:00
geonetwork.thesaurus.external.place.regions
Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Montenegro, Netherlands, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Turkey, United Kingdom.
EEA categories
2010-07-06T00:00:00
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geospatial data
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2002-03-01T00:00:00
Copernicus Land Satellite Image Interpretation 1990-2000 Corine Land Cover Raster CLC Change Polygon
Copernicus Land Satellite Image Interpretation 1990-2000 Corine Land Cover Raster CLC Change Polygon
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Austria
Belgium
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Montenegro
Netherlands
Poland
Portugal
Romania
Serbia
Slovakia
Slovenia
Spain
Turkey
United Kingdom.
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geospatial data
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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 service.
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See the referenced specification
false
CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Some countries follow alternative approaches by utilizing semiautomatic methodology e.g. generalisation of higher resolution national datasets. Production of national CLC inventories is supported by training and is under systematic control of the CLC Technical Team, both for thematic and semantic aspects, to assure harmonized European products. The process of European data integration starts when national deliveries are accepted and the Database Acceptance Report (DBTA) issued. National CLC data are then transformed into the common European reference (ETRS89/LAEA) and pan-European seamless dataset is produced. Integration step includes also harmonization of database along country borders. Rigorous harmonization of country borders has been done only for CLC2000 and CHA9000 layers (in 2 km wide strips along borders) as part of CLC2000 update. Currently, only simplified harmonisation is applied i.e. small border polygons (area < 5 ha) are generalised according to predefined rules to largest and/or thematically most similar neighbour, sliver polygons along borders (< 0.1 ha) are eliminated. European Corine Land Cover seamless database represents the final product of European data integration. Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology and complexity of dataset (adaptive tiling) but this has no impact on dataset contents and can be dissolved for smaller data extracts. Revised versions Started from the publication of CLC2006 (Version 16) the previous inventory is substituted by its revised version by most of the participating countries (see CLC seamless data coverage table https://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-1990-2018-v20u1). However, due to their specific methodology not all countries are producing revised version of the previous inventory. The revision of previous CLC layer is a “by-product” of the standard updating process, including corrections to the original data identified during the update. Revisions (correcting mistakes) are needed because of the following factors: - availability of higher resolution satellite imagery; - a new satellite image or time series of satellite imagery provides additional key to correctly recognise a feature; - improved availability and better quality of in-situ data; - improved skills of experts, i.e. better understanding and application of CLC nomenclature; - decision of the national team to improve the product between two inventories. These revisions are not propagated backward to older datasets (e.g. during CLC2018 revision of CLC2012 might be provided, but the older datasets were not revised). Thus, consecutive inventories might include not only real changes, but also differences due to revisions. Therefore, it is recommended that in time series analysis CLC-Change layers should be used. If status layers from past are needed, these could be derived backward from deducting CLC-Change layers from the latest (best available) status layer as it is done for EEA accounting layers (see at https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-accounting-layers) More details to be available soon in upcoming "Users' Manual for all Copernicus data” document. Version 20u1 Release date: 24-02-2020 File naming conventions simplified and better described. New file naming convention has been introduced based on user feedback on version 20. Filename is composed of combination of information about update campaign, data theme and reference year and version specification (including release year and release number). See https://land.copernicus.eu/user-corner/technical-library/clc-file-naming-conventions-guide-v20u1 for details. The French DOMs are provided in separate databases (files both for vector and raster version of data). All raster layers are back in 8 bit GeoTIFF. Modification is introduced based on the user feedback on version 20. In order to keep 8 bit resolution for raster change layers, they are divided into two files - representing consumption (from) and formation (to) part of change. See https://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-1990-2018-v20u1 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about lineage history.
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