Land Cover Map 2023 (10m classified pixels, N. Ireland)

https://doi.org/10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae

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This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.

Publication date: 2024-05-20

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How do we collect this information?

Format

TIFF

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

TM 75 / Irish Grid (EPSG: 29903)

Spatial resolution

10 metres

Temporal information

Temporal extent

2023-01-01 to 2023-12-31

Provenance & quality

UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.

Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). 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.

The 25m rasterised land parcels product is created by pixelating the corresponding land parcel product.

Licensing and constraints

Licence terms and conditions apply

Cite this dataset as:

Morton, R.D.; Marston, C.G.; O'Neil, A.W.; Rowland, C.S. (2024). Land Cover Map 2023 (10m classified pixels, N. Ireland). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae

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