5 datasets found
  1. Corine Landcover 2018 - Dataset - data.gov.ie

    • data.gov.ie
    Updated Jan 26, 2023
    + more versions
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    data.gov.ie (2023). Corine Landcover 2018 - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/corine-landcover-2018
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    Dataset updated
    Jan 26, 2023
    Dataset provided by
    data.gov.ie
    License

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

    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.

  2. d

    CORINE Land Cover - Occupation des sols en France

    • data.gouv.fr
    • data.wu.ac.at
    csv, géotiff, html +2
    Updated Mar 19, 2019
    + more versions
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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.

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

    • sdi.eea.europa.eu
    • catalogue.arctic-sdi.org
    doi, esri:rest +2
    Updated May 13, 2020
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    European Environment Agency (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 authored and provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    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/.

  4. Z

    Forest-related landscape metrics in LandKlif project

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 17, 2024
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    Zhang, Jie (2024). Forest-related landscape metrics in LandKlif project [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11919048
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    Dataset updated
    Jun 17, 2024
    Dataset authored and provided by
    Zhang, Jie
    License

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

    Description

    We calculated forest-related landscape metrics which have influence on insect diversity. Based on the detailed Landklif map (dataset 11560 at LandKlif database, https://www.landklif.biozentrum.uni-wuerzburg.de), we classify coniferous forest, decideous forest, mixed forest, small wood, and transitional woodland-shrub as forest features. Sub land use class and origical classification was kept as well. This dataset includes the area percentage (landscape composition) of these classes as well as edge length between forest features and non-forest features, in a scale of 100, 200, 500, 1000, 1500 meter radius around the study plots, as well as in TK 25 quadrant scale. TK 25 quadrant is common name in Germany for the topographical map unit at a scale of 1:25000 designated by four-digit numbers, which has a long history (from 1875) and is been used as unit for geographical survey and biodiversity mapping (http://maps.snsb.info/TK25/).

    Detailed Landklif map was created by combining 3 different land cover maps to create a detailed land cover map for 6 km buffer area around landklif study plots. We used ATKIS 2019 land cover as basis, added details from Invekos 2019 and Corine 2018. We categorized the land cover into 6 classes, further subcategorized them into sub land use classes. The original classification from different sources are kept. In case of overlapping, the priority goes (from high to low): natural > forest > grassland > arable > urban > water. In case of overlapping between data source: transitional woodland-shrub from Corine > Invekos > ATKIS. Areas outside of Bayern are filled with only Corine data. The coordinate system of the shapefile is ETRS89 / UTM zone 32N (EPSG:25832). This dataset is not open access due to its sensitivity but can be reached (https://www.landklif.biozentrum.uni-wuerzburg.de/Download/ShowXml.aspx?DatasetId=11560) and requested via the LandKlif database.

    LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif). Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.

  5. O

    Uso del Suolo 2011 - UDS

    • dati.puglia.it
    ods, shp
    Updated Oct 15, 2015
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    InnovaPuglia Spa - Servizio Territorio e Ambiente info@sit.puglia.it (2015). Uso del Suolo 2011 - UDS [Dataset]. https://dati.puglia.it/ckan/dataset/uso-del-suolo-2011-uds
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    ods, shpAvailable download formats
    Dataset updated
    Oct 15, 2015
    Dataset provided by
    InnovaPuglia Spa - Servizio Territorio e Ambiente info@sit.puglia.it
    License

    https://w3id.org/italia/controlled-vocabulary/licences/A29_IODL20https://w3id.org/italia/controlled-vocabulary/licences/A29_IODL20

    Description

    Aggiornamento al 2011 dell'Uso del Suolo 2006 contenente Superfici Artificiali, Superfici Agricole, Superfici Boscate ed altri Ambienti Naturali, Superfici Ambiente Umido e Acque. L'aggiornamento al 2011 dell'Uso del Suolo 2006 è derivato dalla fotointerpretazione delle nuove aree con unità minima cartografabile di 2.500 mq presenti sull'Ortofoto 2011. L'aggiornamento 2011 è conforme allo standard definito a livello europeo con le specifiche del progetto CORINE Land Cover (con ampliamento al IV livello) e comporta la caratterizzazione della Legenda in 69 classi

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data.gov.ie (2023). Corine Landcover 2018 - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/corine-landcover-2018
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Corine Landcover 2018 - Dataset - data.gov.ie

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 26, 2023
Dataset provided by
data.gov.ie
License

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

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.

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