• EEA geospatial data catalogue
  •   Search
  •   Map
  •  Sign in

CLCplus Backbone 2018 (raster 10 m), Europe, 3-yearly, Feb. 2023

This metadata refer to the 'Corine Land Cover plus Backbone' (CLCplus Backbone) which is a spatially detailed, large scale, Earth Observation-based land cover inventory. The CLCplus Backbone Raster Product is a 10m pixel-based land cover map based on Sentinel satellite time series from July 2017 to June 2019. For each pixel it shows the dominant land cover among the 11 basic land cover classes.



The product has a three years update cycle and is available for the 2018 reference year.

Simple

Date (Creation)
2022-03-07
Date (Publication)
2023-01-23
Edition

01.1

Citation identifier
copernicus_r_3035_10_m_chaplus-backbone2017-2019_p_2018_v01_r1
Code
10.2909/cd534ebf-f553-42f0-9ac1-62c1dc36d32c
Point of contact
Organisation name Individual name Electronic mail address Website Role

European Commission

https://commission.europa.eu Owner

Copernicus Land Monitoring Service

copernicus@eea.europa.eu

https://land.copernicus.eu Custodian

European Environment Agency

sdi@eea.europa.eu

http://www.eea.europa.eu Publisher

Copernicus Land Monitoring Service helpdesk

copernicus@eea.europa.eu

https://land.copernicus.eu/en/contact-service-helpdesk Point of contact
Maintenance and update frequency
As needed

GEMET - INSPIRE themes, version 1.0

  • Land cover

Keywords

    Continents, countries, sea regions of the world.

    • United Kingdom

    • EEA38 (from 2020)

    Keywords

      GEMET

      • land cover

      • land

      Spatial scope
      • European

      EEA topics

      • Land use

      Access constraints
      Other restrictions
      Other constraints
      no limitations to public access
      Use constraints
      Other restrictions
      Other constraints

      The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission.



      The Copernicus land monitoring products and services are made available on a principle of full, open and free access, as established by the Commission Delegated Regulation (EU) No 1159/2013 of 12 July 2013.



      Free, full and open access to the products and services of the Copernicus Land Monitoring Service is made on the conditions that:



      1. When distributing or communicating Copernicus Land Monitoring Service products and services (data, software scripts, web services, user and methodological documentation and similar) to the public, users shall inform the public of the source of these products and services.



      2. Where the Copernicus Land Monitoring Service products and services have been adapted or modified by the user, the user shall clearly state this.



      3. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the European Union.

      Spatial representation type
      Grid
      Distance
      10  m
      Language of dataset
      English
      Character set
      UTF8
      Topic category
      • Environment
      • Imagery base maps earth cover
      N
      S
      E
      W
      thumbnail




      Begin date
      2017-07-01
      End date
      2019-06-30
      Additional Information

      Thematic pixel values:

      1: Sealed

      2: Woody – needle leaved trees

      3: Woody – Broadleaved deciduous trees

      4: Woody – Broadleaved evergreen trees

      5: Low-growing woody plants (bushes, shrubs)

      6: Permanent herbaceous

      7: Periodically herbaceous

      8: Lichens and mosses

      9: Non- and sparsely-vegetated

      10: Water

      11: Snow and ice

      254: outside area

      255: No data

      Coordinate reference system identifier
      EPSG:3035
      Distribution format
      • GeoTIFF ( )

      OnLine resource
      Protocol Linkage Name

      WWW:LINK

      https://land.copernicus.eu/en/products/clc-backbone/clc-backbone-2018

      CLCplus Backbone — Copernicus Land Monitoring Service

      WWW:LINK-1.0-http--link

      https://land.copernicus.eu/en/products/clc-backbone/clc-backbone-2018#download

      Download (requires authentication)

      OGC:WMS

      https://copernicus.discomap.eea.europa.eu/arcgis/services/CLC_plus/CLMS_CLCplus_RASTER_2018_010m_eu/ImageServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0

      0

      ESRI:REST

      https://copernicus.discomap.eea.europa.eu/arcgis/rest/services/CLC_plus/CLMS_CLCplus_RASTER_2018_010m_eu/ImageServer

      WWW:LINK-1.0-http--link

      https://land.copernicus.eu/en/technical-library/product-user-manual-for-clc-backbone-raster-only/@@download/file

      Product user manual – CLCplus Backbone 2018

      WWW:LINK-1.0-http--link

      https://land.copernicus.eu/en/technical-library/clc-backbone-product-user-manual/@@download/file

      Product user manual – CLCplus Backbone 2018 (for raster and vector data)

      OnLine resource
      Protocol Linkage Name

      DOI

      https://doi.org/10.2909/cd534ebf-f553-42f0-9ac1-62c1dc36d32c
      Hierarchy level
      Dataset

      Conformance result

      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
      Date (Publication)
      2010-12-08
      Explanation

      See the referenced specification

      Statement

      The CLCplus Backbone Raster Product is primarily based on a supervised classification of satellite image time-series from Sentinel-2 L2A including all scenes with a cloud cover below 80% and acquired from July 2017 and June 2019. The time series is initially resampled in along the time axis to obtain an equidistant time-series at 10-day intervals. Clouds and cloud shadows are masked out before based on masks produced with FMask 4.1.



      Training and test data were compiled for the reference year 2018 from various sources, such as from adjusted and filtered LUCAS 2018 survey point data; stratified automated LC class annotations based on existing land use/land cover maps, as well as from additional visual sample point photointerpretation relying on VHR imagery, NDVI time series and auxiliary datasets.

      A temporal Convolutional Neural Network with four hierarchical layers was calibrated on the collected training data and input time-series / features. Given the heterogeneity of the addressed European landscapes, all classifier training, testing and, finally, LC classification, is performed along substrata based on biogeographical regions and existing LC layers.



      Dedicated post-processing steps include bilateral filtering to reduce labelling noise, as well as adjustments of the class probabilities and threshold based on auxiliary data such as street networks, national and regional land cover and land use maps or existing Pan-European land cover maps.



      Quality assurance follows the ISO 9001:2015 standards for Quality Management and comprises of dedicated procedures of quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracy to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.

      Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) positional accuracy, (iv) Thematic Accuracy, (v) Temporal quality and (vi) Usability.



      Geometric accuracy (positioning scale): Equals Sentinel-2 positional accuracy in 2018 (~11m at 95.5% confidence).



      Thematic target accuracy: An independent internal accuracy assessment based on the interpretation of more than 42,000 samples (plausibility analysis) assessed the overall accuracy for the EU27 area at 92.8% (+-0.3%) and for the full EEA38+UK coverage at 91.9% (+/-0.3%). The targeted producer's and user's accuracies are above the target of at least 85% for all classes except for Low-growing woody plants, Lichens and Mosses, and Non-and sparsely vegetated which are subject to regionally lower accuracies. Further details on the internal validation results are presented in the Product User Manual.

      Metadata

      File identifier
      cd534ebf-f553-42f0-9ac1-62c1dc36d32c XML
      Metadata language
      English
      Character set
      UTF8
      Hierarchy level
      Dataset
      Date stamp
      2025-01-13T11:02:30.316914Z
      Metadata standard name

      ISO 19115/19139

      Metadata standard version

      1.0

      Metadata author
      Organisation name Individual name Electronic mail address Website Role

      European Environment Agency

      sdi@eea.europa.eu

      Point of contact
       
       
      Access to the catalogue
      Read here the full details and access to the data.

      Overviews

      overview

      Spatial extent

      thumbnail

      Keywords

      EEA topics

      Land use
      GEMET

      land land cover
      GEMET - INSPIRE themes, version 1.0

      Land cover
      Spatial scope

      European


      Provided by

      logo
      Access to the catalogue
      Read here the full details and access to the data.




      •   About
      •   Github
      •