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. (Dataset). https://doi.org/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.
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.
This dataset is included in the following collections