Morton, R. D.; Marston, C. G,; O’Neil, A. W.; Rowland, C. S.

Land Cover Map 2017 (land parcels, GB)

https://doi.org/10.5285/b77ce981-d038-4774-a620-f50da5dd3d31 Cite this dataset

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Great Britain 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 assessing classification confidence and accuracy; for a full explanation please refer to the dataset documentation.

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.

Publication date: 2020-06-22

These data are held and managed by the Environmental Information Data Centre, hosted at UKCEH.

For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/b77ce981-d038-4774-a620-f50da5dd3d31

Where/When

Study area
Temporal extent: 2017-01-01 to 2017-12-31

Provenance & quality

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.