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The content and accuracy of the CORINE Land Cover dataset for Norway

International journal of applied earth observation and geoinformation, 2021-04, Vol.96, p.102266, Article 102266 [Peer Reviewed Journal]

2020 The Authors ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2020.102266

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  • Title:
    The content and accuracy of the CORINE Land Cover dataset for Norway
  • Author: Aune-Lundberg, Linda ; Strand, Geir-Harald
  • Subjects: Copernicus ; CORINE ; Land cover ; Land cover map ; Land use ; Map accuracy
  • Is Part Of: International journal of applied earth observation and geoinformation, 2021-04, Vol.96, p.102266, Article 102266
  • Description: •The CORINE Land Cover (CLC) dataset for Norway was populated with national land use and land cover data.•We created land cover/land use profiles of each CLC class.•The land use and land cover composition of the CLC classes corresponded well with the CLC specification.•The thematic accuracy was best for the broadly defined CLC classes.•CLC can be improved by using national land use and land cover data to determine the classification of CLC-polygons. The CORINE Land Cover dataset for Norway for the reference year 2018 (CLC2018) was compared to detailed national land cover and land use data. This allowed us to describe the thematic composition of the CLC-polygons and aggregate the information into statistical profiles for each CLC-class. We compared the results to the class definitions found in the CLC mapping instructions, while considering the generalization and minimal mapping units required for CLC. The study showed that CLC2018 in general complied with the definitions. Nonconformities were mainly found for detailed and (in a Norwegian context) marginal classes. The classification can still be improved by complementing visual interpretation with classification based on the statistical profile of each polygon when detailed land use and land cover information is available. The use of auxiliary information at the polygon level can thus provide a better, thematically more accurate CLC dataset for use in European land monitoring.
  • Publisher: Elsevier B.V
  • Language: English
  • Identifier: ISSN: 1569-8432
    EISSN: 1872-826X
    DOI: 10.1016/j.jag.2020.102266
  • Source: DOAJ Directory of Open Access Journals
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