304a7a40-1388-49f5-b3ac-709129406399 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-21T10:38:57 UK GEMINI 2.3 OSGB 1936 / British National Grid Land Cover Map 1990 (vector, GB) 2020-06-17 publication https://catalogue.ceh.ac.uk/id/304a7a40-1388-49f5-b3ac-709129406399 10.5285/304a7a40-1388-49f5-b3ac-709129406399 doi: Rowland, C.S., Marston, C.G., Morton, R.D., O'Neil, A.W. (2020). Land Cover Map 1990 (vector, GB). NERC Environmental Information Data Centre 10.5285/304a7a40-1388-49f5-b3ac-709129406399 This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. 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. Full details about this dataset can be found at https://doi.org/10.5285/304a7a40-1388-49f5-b3ac-709129406399 Rowland, C.S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Rowland, C.S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-0459-506X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Marston, C.G. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2070-2187 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Morton, R.D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3947-6463 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author O'Neil, A.W. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3591-1034 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned Land Cover theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Land cover Land use Great Britain vector LCM1990 UK-SCAPE otherRestrictions Registration is required to access this data otherRestrictions 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 otherRestrictions If you reuse this data, you should cite: Rowland, C.S., Marston, C.G., Morton, R.D., O'Neil, A.W. (2020). Land Cover Map 1990 (vector, GB). NERC Environmental Information Data Centre https://doi.org/10.5285/304a7a40-1388-49f5-b3ac-709129406399 vector 20 English utf8 geoscientificInformation imageryBaseMapsEarthCover 1988-01-01 1990-12-31 -8.648 1.768 49.864 60.861 SpatiaLite NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://order-eidc.ceh.ac.uk/resources/JHP78BRW/order Download the data Order a copy of this data order https://data-package.ceh.ac.uk/sd/304a7a40-1388-49f5-b3ac-709129406399.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM1990 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007, LCM2015 and LCM1990 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015 or LCM1990.