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

Land Cover Map 1990 (1km percentage target class, N. Ireland)

https://doi.org/10.5285/4a5e720f-5f1d-4e96-8e34-ae32c668c613 Cite this dataset

This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution.

LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.

LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.

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: 2020-10-12

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/4a5e720f-5f1d-4e96-8e34-ae32c668c613

Where/When

Study area
Temporal extent: 1990-01-01 to 1990-12-31

Provenance & quality

The percentage target class is produced from the 25m raster (which is derived from the vector product) by:
1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.
2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.
3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.