Land Cover Map 2007 (1km dominant target class, GB) v1.2
This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2
dataset
https://data-package.ceh.ac.uk/sd/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
name: Web Map Service (WMS)
description: A web map service exists for this dataset
https://data-package.ceh.ac.uk/data/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2
name: Download the data
description: Download a copy of this data
function: download
1399373518003
CEH:EIDC:
eng
environment
imageryBaseMapsEarthCover
Land Cover
publication
2008-06-01
-8.648
1.768
60.861
49.864
2005-09-02
2008-07-18
publication
2014-07-23
notPlanned
LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS Tiles HZ and NW. See online supporting information for further details.
publication
2010-12-08
TIFF
If you reuse this data, you should cite: Morton, R.D., Rowland, C.S., Wood, C.M., Meek, L., Marston, C.G., Smith, G.M. (2014). Land Cover Map 2007 (1km dominant target class, GB) v1.2. NERC Environmental Information Data Centre https://doi.org/10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2
pointOfContact
custodian
https://orcid.org/0000-0003-3947-6463
name: ORCID record
description: 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.
function: information
author
https://orcid.org/0000-0002-0459-506X
name: ORCID record
description: 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.
function: information
author
author
author
https://orcid.org/0000-0002-2070-2187
name: ORCID record
description: 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.
function: information
author
author
publisher
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2024-02-27T16:24:15