Identification

Title

Land Cover Map 2020 (10m classified pixels, GB)

Abstract

This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty). This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. A full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data. Full details about this dataset can be found at https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7

Resource type

dataset

Resource locator

https://order-eidc.ceh.ac.uk/resources/9ADKC4H0/order

description: Download a copy of this data

function: order

https://data-package.ceh.ac.uk/sd/35c7d0e5-1121-4381-9940-75f7673c98f7.zip

description: Supporting information available to assist in re-use of this dataset

function: information

https://catalogue.ceh.ac.uk/maps/51bcb92a-dd88-4034-ba65-a9d432dd632a?request=getCapabilities&service=WMS&cache=false&

description: A web map service of this dataset is available

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/35c7d0e5-1121-4381-9940-75f7673c98f7

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

imageryBaseMapsEarthCover

Keywords

Keyword set

keyword value

Land Cover

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Great Britain

Habitat

Biodiversity Action Plan

Geographic location

West bounding longitude

-8.648

East bounding longitude

1.768

North bounding latitude

60.861

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

2020-01-01

End position

2020-12-31

Dataset reference date

date type

publication

effective date

2021-10-08

Frequency of update

Quality and validity

Lineage

UKCEH’s automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. 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 pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation. Prior to 2017 classified pixels are not available as part of the UKCEH LCM product suite. The classified pixels represent the core dataset from which the remaining products in the LCM2020 suite are derived. These include LCM2020 classified land parcels and the LCM2020 25m rasterised land parcels product.

Conformity

Conformity report

specification

title

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

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-02-23T08:18:10

Metadata language

eng