Land Cover Map 2020 (land parcels, GB)

https://doi.org/10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a

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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

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.

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This is a polygon (land parcel) dataset describing the entire land surface of GB in 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.

Each land parcel contains attributes which include the land cover type and classification confidence.

Full details of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation which accompanies this data.

Publication date: 2021-10-13

6 citations

279 downloads *

3,894 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 11 November 2021 (information prior to this was not collected)

Format

SQLite

Spatial information

Study area

Spatial representation type

Vector

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

2020-01-01 to 2020-12-31

Provenance & quality

UKCEH's automated land cover classification algorithms generated 10m classified pixels. For this, training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify 10m resolution composite images representing per season median surface reflectance. Seasonal composite images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce classification confusion among classes with similar spectra.

Land cover was validated by organising the 10m pixel classification into a land parcel spatial framework). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.

Licensing and constraints

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.

Cite this dataset as:

Morton, R.D.; Marston, C.G.; O'Neil, A.W.; Rowland, C.S. (2021). Land Cover Map 2020 (land parcels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a

BibTeX RIS

This dataset is included in the following collections

Land Cover Map 2020

Citations

Marston, C.G., O'Neil, A.W., Morton, R.D., Wood, C.M., & Rowland, C.S. (2023). LCM2021 – the UK Land Cover Map 2021. In Earth System Science Data (Vol. 15, Issue 10, pp. 4631–4649). Copernicus GmbH. https://doi.org/10.5194/essd-15-4631-2023

Corcoran, E., Afshar, M., Curceac, S., Lashkari, A., Raza, M.M., Ahnert, S., Mead, A., & Morris, R. (2023). Current data and modeling bottlenecks for predicting crop yields in the United Kingdom. In Frontiers in Sustainable Food Systems (Vol. 7). Frontiers Media SA. https://doi.org/10.3389/fsufs.2023.1023169

Foxley, T., Lintott, P., & Stone, E. (2023). What drives bat activity at field boundaries? In Journal of Environmental Management (Vol. 329, p. 117029). Elsevier BV. https://doi.org/10.1016/j.jenvman.2022.117029

Zhang, Y., Wu, L., Jebari, A., & Collins, A.L. (2024). Impacts of reduced synthetic fertiliser use under current and future climates: Exploration using integrated agroecosystem modelling in the upper River Taw observatory, UK. In Journal of Environmental Management (Vol. 351, p. 119732). Elsevier BV. https://doi.org/10.1016/j.jenvman.2023.119732

Forestry Commission (2023). Forestry Commission Wildfire statistics for England: Report to 2020-21. The UK Government. https://www.gov.uk/government/publications/forestry-commission-wildfire-statistics-for-england-report-to-2020-21

The Scottish Government (2021). Development of a combined marine and terrestrial biodiversity indicator: research. The Scottish Government. https://www.gov.scot/publications/development-combined-marine-terrestrial-biodiversity-indicator-scotland/