Rowland, C.S.; Marston, C.G.; O'Neil, A.W.
Land Cover Map 2024 (land parcels, N. Ireland)
https://doi.org/10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e
Cite this dataset as:
Rowland, C.S.; Marston, C.G.; O'Neil, A.W. (2025). Land Cover Map 2024 (land parcels, N. Ireland). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e
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.
Download/Access
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.
This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.
Publication date: 2025-07-18
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Format
SpatiaLite
Spatial information
Study area
Spatial representation type
Vector
Spatial reference system
EPSG:29903 - TM75 / Irish Grid
Spatial resolution
10 metres
Temporal information
Temporal extent
2024-01-01 to 2024-12-31
Provenance & quality
UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. 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 LCM2024 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 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.
Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 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 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.
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:
Rowland, C.S.; Marston, C.G.; O'Neil, A.W. (2025). Land Cover Map 2024 (land parcels, N. Ireland). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e
Related
Related datasets
Land Cover Map 2024 (1km summary rasters, GB and N. Ireland)
Land Cover Map 2024 (25m rasterised land parcels, N. Ireland)
Land Cover Map 2024 (UK land cover statistics)
Land Cover Map 2024 (10m classified pixels, GB)
Land Cover Map 2024 (10m classified pixels, N. Ireland)
This dataset is included in the following collections
Correspondence/contact details
Authors
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
