67 datasets found
  1. Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019

    • data.opendatascience.eu
    • sdi.eea.europa.eu
    • +1more
    esri:rest, ogc:wms +2
    Updated Jul 23, 2019
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    European Environment Agency (2019). Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019 [Dataset]. https://data.opendatascience.eu/geonetwork/srv/api/records/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d
    Explore at:
    esri:rest, ogc:wms, www:link-1.0-http--link, www:urlAvailable download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Time period covered
    Jan 1, 2017 - Dec 31, 2018
    Area covered
    Description

    The present 100m raster dataset is the 2018 CLC status layer modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA.

    CORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products.

    Due to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.

  2. a

    Corine Land Cover Europe (2018)

    • hub.arcgis.com
    Updated Jan 15, 2019
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    The Rivers Trust (2019). Corine Land Cover Europe (2018) [Dataset]. https://hub.arcgis.com/maps/129e81fc75ec4426aa25a02943cebaf0
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    Dataset updated
    Jan 15, 2019
    Dataset authored and provided by
    The Rivers Trust
    Area covered
    Description

    CLC2018 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2018. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level Corine nomenclature minimum mapping unit (MMU) for status layers is 25 hectares minimum width of linear elements is 100 metres minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as 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 etc. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.

  3. G

    Copernicus CORINE Land Cover

    • developers.google.com
    Updated Dec 31, 2018
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    EEA/Copernicus (2018). Copernicus CORINE Land Cover [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_CORINE_V20_100m
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    Dataset updated
    Dec 31, 2018
    Dataset provided by
    EEA/Copernicus
    Time period covered
    Jan 1, 1986 - Dec 31, 2018
    Area covered
    Description

    The CORINE (coordination of information on the environment) Land Cover (CLC) inventory was initiated in 1985 to standardize data collection on land in Europe to support environmental policy development. The project is coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme and implemented by …

  4. d

    CORINE Land Cover - Occupation des sols en France

    • data.gouv.fr
    • data.europa.eu
    • +1more
    csv, géotiff, html +2
    Updated Mar 19, 2019
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    Ministère de la Transition écologique (2019). CORINE Land Cover - Occupation des sols en France [Dataset]. https://www.data.gouv.fr/en/datasets/corine-land-cover-occupation-des-sols-en-france/
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    géotiff, pdf, csv, shape, htmlAvailable download formats
    Dataset updated
    Mar 19, 2019
    Dataset authored and provided by
    Ministère de la Transition écologique
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Area covered
    France
    Description

    La base de données géographique CORINE Land Cover (CLC) est un inventaire biophysique de l'occupation des terres. Il est produit dans le cadre du programme européen d'observation de la terre Copernicus (39 États européens). Données de référence, CORINE Land Cover est issue de l'interprétation visuelle d'images satellitaires et est disponible pour les années suivantes : 1990, 2000, 2006 et 2012. Ces bases d'état sont accompagnées par les bases des changements 1990-2000, 2000-2006 et 2006-2012 (données sur les portions du territoire ayant changé d'occupation des sols). La métropole et les DOM sont couverts par CLC. Pour la Guyane, seule la bande côtière a été traitée.

  5. CORINE Land Cover 2018 (vector), Europe, 6-yearly - version 2020_20u1, May...

    • sdi.eea.europa.eu
    doi, esri:rest +2
    Updated May 13, 2020
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    Copernicus Land Monitoring Service helpdesk (2020). CORINE Land Cover 2018 (vector), Europe, 6-yearly - version 2020_20u1, May 2020 [Dataset]. https://sdi.eea.europa.eu/catalogue/copernicus/api/records/71c95a07-e296-44fc-b22b-415f42acfdf0
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    ogc:wms, www:link-1.0-http--link, doi, esri:restAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    European Commission
    Copernicus Land Monitoring Service helpdesk
    Authors
    Copernicus Land Monitoring Service helpdesk
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Jan 1, 2017 - Dec 31, 2018
    Area covered
    Description

    Corine Land Cover 2018 (CLC2018) 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/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.

  6. e

    Corine Landcover 2018

    • gis.epa.ie
    • cloud.csiss.gmu.edu
    • +2more
    html, png
    Updated Nov 28, 2018
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    Environmental Protection Agency (2018). Corine Landcover 2018 [Dataset]. https://gis.epa.ie/geonetwork/srv/api/records/fb5d2fa9-95fe-4d3f-8aed-e548348a40ea
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    html, pngAvailable download formats
    Dataset updated
    Nov 28, 2018
    Dataset authored and provided by
    Environmental Protection Agency
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2006 - Jan 1, 2012
    Area covered
    Description

    Corine Land Cover 2018 is the 2018 update of the COPERNICUS pan-European landcover data series. This dataset is the Irish national CORINE 2018 dataset, covering the Republic of Ireland, which will be integrated into a seamless CORINE 2018 landcover map of Europe. The dataset is based on interpretation of satellite imagery and national in-situ vector data. It is mapped to the standard CORINE classification system (link) and data specifications - minimum mapping unit (mmu) of 25ha and the minimum feature width of 100m.

  7. C

    Corine Land Cover - Download Service

    • ckan.mobidatalab.eu
    wfs
    Updated May 3, 2023
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    GeoDatiGovIt RNDT (2023). Corine Land Cover - Download Service [Dataset]. https://ckan.mobidatalab.eu/dataset/corine-land-cover-download-service
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    wfsAvailable download formats
    Dataset updated
    May 3, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    Land cover download service for the years 1990 to 2018 in various details (Level III and IV CLC).

  8. E

    Corine land cover 2012 for the UK, Jersey and Guernsey

    • catalogue.ceh.ac.uk
    • eprints.soton.ac.uk
    • +3more
    zip
    Updated Jul 17, 2015
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    B. Cole; S. King; B. Ogutu; D. Palmer; G. Smith; H. Balzter (2015). Corine land cover 2012 for the UK, Jersey and Guernsey [Dataset]. http://doi.org/10.5285/32533dd6-7c1b-43e1-b892-e80d61a5ea1d
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    zipAvailable download formats
    Dataset updated
    Jul 17, 2015
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    B. Cole; S. King; B. Ogutu; D. Palmer; G. Smith; H. Balzter
    License

    https://eidc.ceh.ac.uk/licences/OGLcorine/plainhttps://eidc.ceh.ac.uk/licences/OGLcorine/plain

    Time period covered
    Jan 1, 2006 - Dec 31, 2012
    Area covered
    Description

    This dataset for the UK, Jersey and Guernsey contains the Corine Land Cover (CLC) for 2012 (CLC2012). This dataset has been created from combining the 2012 land cover layers from the individual CLC files for the UK, Jersey and Guernsey. CLC is a dataset produced within the frame of the Initial Operations of the Copernicus programme (the European Earth monitoring programme previously known as GMES) on land monitoring. CLC provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (initial year 1990) and then established a time series of land cover information with updates in 2000 and 2006 the last one being the 2012 reference year. CLC products are based on the analysis of satellite images by national teams of participating countries - the EEA member and cooperating countries - following a standard methodology and nomenclature with the following base parameters: - 44 classes in the hierarchical three level Corine nomenclature; - Minimum mapping unit (MMU) for status layers is 25 hectares; - Minimum width of linear elements is 100 metres; The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as 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, among others.

  9. n

    Copernicus Land - Corine land Cover 2018 database of the Netherlands

    • nationaalgeoregister.nl
    • ckan.mobidatalab.eu
    Updated Sep 20, 2019
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    Wageningen Environmental Research (2019). Copernicus Land - Corine land Cover 2018 database of the Netherlands [Dataset]. https://www.nationaalgeoregister.nl/geonetwork/opensearch/api/records/4c5b759d-b252-475f-baae-fc8fe65853ec
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    Dataset updated
    Sep 20, 2019
    Dataset provided by
    Wageningen Environmental Research
    Area covered
    Description

    Corine Land Cover (CLC) 2012 revised, CLC 2018 and CLC change 2012-2018 are datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012, being the last one the 2018 reference year. CLC products are based on photointerpretation of satellite images by national teams of participating countries - the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as 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, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.

    «Data was produced with funding by the European Union. Copyright Copernicus Programme.»
    DISCLAIMER: Wageningen Environmental Research has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.56950 implementing Framework service contract No EEA/IDM/R0/16/009/Netherlands. Wageningen Environmental Research accepts no responsibility or liability whatsoever with regard to the content and use of these data. The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.

  10. E

    Corine land cover 2018 for the UK, Isle of Man, Jersey and Guernsey

    • catalogue.ceh.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +1more
    zip
    Updated Oct 6, 2021
    + more versions
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    B. Cole; B. De la Barreda; A. Hamer; T. Codd; M. Payne; L. Chan; G. Smith; H. Balzter (2021). Corine land cover 2018 for the UK, Isle of Man, Jersey and Guernsey [Dataset]. http://doi.org/10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 6, 2021
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    B. Cole; B. De la Barreda; A. Hamer; T. Codd; M. Payne; L. Chan; G. Smith; H. Balzter
    Time period covered
    Jan 1, 2018 - Dec 31, 2018
    Area covered
    Description

    This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. Corine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as 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, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.

  11. E

    Corine land cover 2012 (revised) for the UK, Isle of Man, Jersey and...

    • catalogue.ceh.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +1more
    zip
    Updated Sep 8, 2021
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    B. Cole; B. De la Barreda; A. Hamer; T. Codd; M. Payne; L. Chan; G. Smith; H. Balzter (2021). Corine land cover 2012 (revised) for the UK, Isle of Man, Jersey and Guernsey [Dataset]. http://doi.org/10.5285/9bb7caab-764d-407b-9a81-0d758722d900
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 8, 2021
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    B. Cole; B. De la Barreda; A. Hamer; T. Codd; M. Payne; L. Chan; G. Smith; H. Balzter
    Time period covered
    Jan 1, 2012 - Dec 31, 2012
    Area covered
    Description

    This dataset is the 2012 revised Corine Land Cover (CLC) map, consisting of 44 classes in the hierarchical three level Corine nomenclature, produced during the CLC2018 production to improve the CLC2012 inventory. CLC 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as 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, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.

  12. p

    Corine Land Cover 2012

    • data.public.lu
    • geocatalogue.geoportail.lu
    • +2more
    bin, http, wms, zip
    Updated Aug 28, 2024
    + more versions
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2024). Corine Land Cover 2012 [Dataset]. https://data.public.lu/en/datasets/corine-land-cover-2012/
    Explore at:
    bin(346059747), http, wms, zip(99491955)Available download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Land use in the Greater Region according to Corine Land Cover 2012 - Source: EEA - Corine Land Cover 2012 European seamless vector database: STATUS 2012 layer (CLC12)

  13. p

    Corine Land Cover 2018

    • data.public.lu
    • data.europa.eu
    bin, http, wms, zip
    Updated Jan 16, 2023
    + more versions
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2023). Corine Land Cover 2018 [Dataset]. https://data.public.lu/en/datasets/corine-land-cover-2018/
    Explore at:
    http, wms, zip(77263724), bin(294934841)Available download formats
    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Land use in the Greater Region according to Corine Land Cover 2018 - Source: European Environment Agency - Corine Land Cover (CLC) 2018 v20

  14. e

    Dataset Direct Download Service (WFS): Corine LAND COVER 2012 —...

    • data.europa.eu
    unknown
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    Dataset Direct Download Service (WFS): Corine LAND COVER 2012 — Hauts-de-France [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-be5876d7-74f7-46d5-9e90-b9723fa93546?locale=en
    Explore at:
    unknownAvailable download formats
    Area covered
    France
    Description

    Corine LAND COVER 2012 — Hauts-de-France DREAL Hauts-de-France

  15. g

    Simple download service (Atom) of the dataset: Corine LAND COVER 2012 —...

    • gimi9.com
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    Simple download service (Atom) of the dataset: Corine LAND COVER 2012 — Water zones — Hauts-de-France | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-ff27ed6b-568e-4885-b6a6-7377bceee468/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    France
    Description

    🇫🇷 프랑스

  16. Continental Europe land cover mapping at 30m resolution based CORINE and...

    • zenodo.org
    bin, png, tiff
    Updated Jul 19, 2024
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    Leandro Parente; Leandro Parente; Martijn Witjes; Tomislav Hengl; Tomislav Hengl; Martin Landa; Lukas Brodsky; Martijn Witjes; Martin Landa; Lukas Brodsky (2024). Continental Europe land cover mapping at 30m resolution based CORINE and LUCAS on samples [Dataset]. http://doi.org/10.5281/zenodo.4725429
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    bin, tiff, pngAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Leandro Parente; Leandro Parente; Martijn Witjes; Tomislav Hengl; Tomislav Hengl; Martin Landa; Lukas Brodsky; Martijn Witjes; Martin Landa; Lukas Brodsky
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Continental Europe
    Description

    Annual land cover mapping for continental Europe based on Ensemble Machine Learning (EML), samples obtained from LUCAS (Land Use and Coverage Area frame Survey) and CLC (CORINE Land Cover) Maps, and several harmonized raster layers (e.g. GLAD Landsat ARD imagery and Continental EU DTM). The EML predicted the dominant land cover, probabilities and uncertainties for 33 classes compatible with CLC over 20 years (2000–2019), and was implemented in R and Python (eumap library).

    The raster layers were mainly composed by the GLAD Landsat ARD imagery, which were downloaded for the years 1999 to 2020 considering the Continental Europe extent (land mask area and tiling system), screened to reduce cloud cover (GLAD quality assessment band), aggregated by season according with three different quantiles (i.e. 25th, 50th and 75th), and gap-filled using the Temporal Moving Window Median approach available in the eumap library. The images for each season were selected using the same calendar dates for all period:

    • Winter: December 2 of previous year until March 20 of current year
    • Spring: March 21 until June 24 of current year
    • Summer: June 25 until September 12 of current year
    • Fall: September 13 until December 1 of current year

    In addition to Landsat spectral data, the EML considered night lights (VIIRS/SUOMI NPP), Global surface water frequency, Continental EU DTM, Landsat spectral indices (SAVI, NDVI, NBR, NBR2, REI and NDWI) and the max/min. monthly geometric temperature, estimated on a pixel basis and for each month.

    The training data were obtained from the geographic location of LUCAS (in-situ source) and the centroid of all polygons of CORINE (supplementary source), harmonized according to the 33 CLC and organized by year, where each unique combination of longitude, latitude and year was treated as a independent sample with the following classes (the class descriptions are here):

    • 111: Urban fabric
    • 122: Road and rail networks and associated land
    • 123: Port areas
    • 124: Airports
    • 131: Mineral extraction sites
    • 132: Dump sites
    • 133: Construction sites
    • 141: Green urban areas
    • 211: Non-irrigated arable land
    • 212: Permanently irrigated arable land
    • 213: Rice fields
    • 221: Vineyards
    • 222: Fruit trees and berry plantations
    • 223: Olive groves
    • 231: Pastures
    • 311: Broad-leaved forest
    • 312: Coniferous forest
    • 321: Natural grasslands
    • 322: Moors and heathland
    • 323: Sclerophyllous vegetation
    • 324: Transitional woodland-shrub
    • 331: Beaches, dunes, sands
    • 332: Bare rocks
    • 333: Sparsely vegetated areas
    • 334: Burnt areas
    • 335: Glaciers and perpetual snow
    • 411: Inland wetlands
    • 421: Maritime wetlands
    • 511: Water courses
    • 512: Water bodies
    • 521: Coastal lagoons
    • 522: Estuaries
    • 523: Sea and ocean

    The LUCAS points with a unique land cover class received a confidence rating of 100%, while CORINE points received 85%, values which were considered by EML as sample weight in the training phase. The points were used in a spacetime overlay approach, which considered the location and the year to retrieve the pixel values of all rasters. Some specific land cover samples (i.e. 111, 122, 131, 141, 211, 221, 222, 223, 231, 311, 312, 321, 411, 512) were screened according to convergence with pre-existing mapping products (OSM roads, OSM railways and Copernicus-OSM buildings; Copernicus high resolution layers), where, for example, “111: Urban fabric” samples located in low density building areas (> 50% according to Copernicus-OSM building layer) were removed from the final training data ( ~5.3 million samples and 178 covariates/features).

    Using this training data, three ML models were trained to predict probabilities (i.e. Random Forest, XGBoost, Artificial Neural Network), which served as input to train a linear meta-model (i.e. Logistic regression classifier), responsable for predicting the final land cover probabilities of all classes. The hyperparameter optimization was conducted using a 5-fold spatial cross validation, based on a 30x30km tilling system. The uncertainties were calculated for all classes according to the standard deviation of the three predicted probabilities for each pixel, and the highest probability was selected as the dominant land cover class, resulting in 20 annual maps for continental Europe.

    The training samples, covariates/features and fitted models are available through lcv_landcover.hcl_lucas.corine.eml_p_landmapper_full.lz4, a LandMapper class instance that can be loaded by eumap library (check the code demonstration). The production code used to generate the current version of the annual land cover maps is available in the spatial layer repository and considered a lighter LandMapper class instance (lcv_landcover.hcl_lucas.corine.eml_p_landmapper_light.lz4,), which not includes the training samples.

    Only the dominant land cover classes are provided here. To access the probabilities and uncertainties use:

    A publication describing, in detail, all processing steps, accuracy assessment and general analysis of land-cover changes in continental Europe is under preparation. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues

  17. Corine Land Cover 2000 vector

    • data.catchmentbasedapproach.org
    Updated Sep 13, 2011
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    European Environment Agency (2011). Corine Land Cover 2000 vector [Dataset]. https://data.catchmentbasedapproach.org/datasets/eea::corine-land-cover-europe-2000/about?layer=0
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    Dataset updated
    Sep 13, 2011
    Dataset authored and provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    Area covered
    Description

    CLC2000 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is a European programme, coordinated by the European Environment Agency (EEA), providing consistent and thematically detailed information on land cover and land cover changes across Europe. CLC products are based on the classification of satellite images by the national teams of the participating countries - the EEA member and cooperating countries (EEA39). National CLC inventories are 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 programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community 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 and implementing the EU Water Framework Directive. The CLC programme is a part of the Copernicus Land Monitoring Service (https://land.copernicus.eu/) run by the European Commission and the European Environment Agency, which provides environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC (product description, mapping guides and class descriptions) can be found here: https://land.copernicus.eu/user-corner/technical-library/clc2018technicalguidelines_final.pdf.

  18. d

    Corine Land Cover Edition 2018 France Métropolitaine

    • data.gouv.fr
    7z, sql, zip
    Updated Jun 6, 2021
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    DELETED DELETED (2021). Corine Land Cover Edition 2018 France Métropolitaine [Dataset]. https://www.data.gouv.fr/fr/datasets/corine-land-cover-edition-2018-france-metropolitaine/
    Explore at:
    7z(633021175), sql(2177086164), zip(1054537578)Available download formats
    Dataset updated
    Jun 6, 2021
    Authors
    DELETED DELETED
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Metropolitan France, France
    Description

    Corine Land Cover Edition 2018 France Métropolitaine ainsi que la feuille de style .sld et .qml pour Qgis Réalisé par le PMIRG (SNUM du MTES)

  19. CORINE Land Cover 1990 (raster 100 m), Europe, 6-yearly - version 2020_20u1,...

    • sdi.eea.europa.eu
    doi, esri:rest +2
    Updated May 13, 2020
    + more versions
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    Copernicus Land Monitoring Service helpdesk (2020). CORINE Land Cover 1990 (raster 100 m), Europe, 6-yearly - version 2020_20u1, May 2020 [Dataset]. https://sdi.eea.europa.eu/catalogue/geoss/api/records/c89324ef-7729-4477-9f1b-623f5f88eaa1
    Explore at:
    www:link-1.0-http--link, esri:rest, ogc:wms, doiAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset provided by
    European Commissionhttp://ec.europa.eu/
    European Environment Agencyhttp://www.eea.europa.eu/
    Copernicus Land Monitoring Service helpdesk
    Authors
    Copernicus Land Monitoring Service helpdesk
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Jan 1, 1986 - Dec 31, 1998
    Area covered
    Description

    Corine Land Cover 1990 (CLC1990) 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 1990.

    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/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.

  20. e

    Corine Landcover Change 2012 - 2018

    • gis.epa.ie
    • cloud.csiss.gmu.edu
    html, png
    Updated Dec 31, 2018
    + more versions
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    Environmental Protection Agency (2018). Corine Landcover Change 2012 - 2018 [Dataset]. https://gis.epa.ie/geonetwork/srv/api/records/b4994cb3-8656-4bf8-9820-b562a28d46dd
    Explore at:
    html, pngAvailable download formats
    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    Environmental Protection Agency
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Jan 1, 2009
    Area covered
    Description

    CORINE Landcover Change 2012 – 2018 is the 2018 update of the COPERNICUS pan-European landcover change data series. This dataset is the Irish national CORINE change 2012- 2018 dataset, covering the Republic of Ireland, which will be integrated into a seamless CORINE 2012-2018 landcover change map of Europe. The dataset is based on interpretation of satellite imagery and national in-situ vector data. It is mapped to the standard CORINE classification system (link) and data specifications - minimum mapping unit (mmu) of 5ha and the minimum feature width of 100m.

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European Environment Agency (2019). Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019 [Dataset]. https://data.opendatascience.eu/geonetwork/srv/api/records/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d
Organization logo

Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019

Explore at:
esri:rest, ogc:wms, www:link-1.0-http--link, www:urlAvailable download formats
Dataset updated
Jul 23, 2019
Dataset provided by
European Environment Agencyhttp://www.eea.europa.eu/
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Time period covered
Jan 1, 2017 - Dec 31, 2018
Area covered
Description

The present 100m raster dataset is the 2018 CLC status layer modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA.

CORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products.

Due to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.

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