Corine Landcover Change 2012 - 2018

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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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Theme Environment
Date dataset released 2018-11-28
Date dataset updated 2018-11-29
Dataset conforms to these standards The INSPIRE Directive or INSPIRE lays down a general framework for a Spatial Data Infrastructure (SDI) for the purposes of European Community environmental policies and policies or activities which may have an impact on the environment.
Rights notes ['no limitations', 'https://creativecommons.org/licenses/by/4.0/', 'license', 'https://creativecommons.org/licenses/by/4.0/', 'license']
Update frequency Other
Language English
Landing Page https://land.copernicus.eu/pan-european/corine-land-cover/view
Geographic coverage in GeoJSON format {"type":"Polygon","coordinates":[[[-10.47472, 51.44555],[-10.47472, 55.37999], [-6.01306, 55.37999], [-6.01306, 51.44555], [-10.47472, 51.44555]]]}
Spatial Reference Systems (SRS) TM75 / Irish Grid (EPSG:29903)
Vertical Extent {"maxVerticalExtent": "1014", "verticalDomainName": "EPSG Projection 5731 - Malin Head height", "minVerticalExtent": "0"}
Provenance information The Corine Land Cover Change database for Ireland has been updated for the reference year 2018. The change dataset is one of three deliverables of the CORINE 2018 project. Main objective of the project was the detection, identification and mapping of all land cover changes above 5 ha. Satellite image from April 2011 – March 2018 served as the basis for image interpretation. The Irish CORINE 2018 project follows on from the semi-automated production methodology which was designed during the CORINE 2012 project. This approach uses national in-situ geo-spatial information on agriculture, forestry and water bodies from the Department of Agriculture, Food and the Marine (DAFM), the Forest Service, Coillte and the EPA. These data sources were used alongside remote sensing based interpretation of satellite imagery (Sentinel 2, Landsat, SPOT and IRS) to identify landcover status and landcover change. A tool developed by the CORINE technical team was then used in an ArcGIS environment to combine the revised CORINE2012 and the 5ha 2012-2018 change dataset to produce the final CORINE 2018 25ha landcover dataset.
Period of time covered (begin) 2007-01-01
Period of time covered (end) 2009-01-01