6e67cba0-c872-4146-bc09-d6c98731f3b3 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-03-21T13:20:23 UK GEMINI 2.3 TM75 / Irish Grid Land Cover Map 2019 (land parcels, N. Ireland) 2020-06-23 publication https://catalogue.ceh.ac.uk/id/6e67cba0-c872-4146-bc09-d6c98731f3b3 10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3 doi: Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2020). Land Cover Map 2019 (land parcels, N. Ireland). NERC Environmental Information Data Centre 10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3 This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3 Morton, R.D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3947-6463 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Marston, C.G. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2070-2187 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author O'Neil, A.W. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3591-1034 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Rowland, C.S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-0459-506X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Morton, D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Land Use theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Northern Ireland GeoNames 2006-01-01 creation Land cover Mapping Vector LCM2019 UK-SCAPE otherRestrictions Controlled otherRestrictions Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence. otherRestrictions If you reuse this data, you should cite: Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2020). Land Cover Map 2019 (land parcels, N. Ireland). NERC Environmental Information Data Centre https://doi.org/10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3 vector 20 English utf8 environment imageryBaseMapsEarthCover 2019-01-01 2019-12-31 -8.178 -5.432 54.022 55.313 SQLite 3 NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://order-eidc.ceh.ac.uk/resources/3A6CPDMD/order Download the data Order a copy of this data order https://data-package.ceh.ac.uk/sd/6e67cba0-c872-4146-bc09-d6c98731f3b3.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 services 2010-12-08 The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.