• Title of article

    Harmonization of the Land Cover Classification System (LCCS) with the General Habitat Categories (GHC) classification system

  • Author/Authors

    Kosmidou، نويسنده , , Vasiliki and Petrou، نويسنده , , Zisis and Bunce، نويسنده , , Robert G.H. and Mücher، نويسنده , , Caspar A. and Jongman، نويسنده , , Robert H.G. and Bogers، نويسنده , , Marion M.B. and Lucas، نويسنده , , Richard M. and Tomaselli، نويسنده , , Valeria and Blonda، نويسنده , , Palma and Padoa-Schioppa، نويسنده , , Emilio and Manakos، نويسنده , , Ioannis and Petrou، نويسنده , , M، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    11
  • From page
    290
  • To page
    300
  • Abstract
    Monitoring land cover and habitat change is a key issue for conservation managers because of its potential negative impact on biodiversity. The Land Cover Classification System (LCCS) and the General Habitat Categories (GHC) System have been proposed by the remote sensing and ecological research community, respectively, for the classification of land covers and habitats across various scales. Linking the two systems can be a major step forward towards biodiversity monitoring using remote sensing. The translation between the two systems has proved to be challenging, largely because of differences in definitions and related difficulties in creating one-to-one relationships between the two systems. This paper proposes a system of rules for linking the two systems and additionally identifies requirements for site-specific contextual and environmental information to enable the translation. As an illustration, the LCCS classification of the Le Cesine protected area in Italy is used to show rules for translating the LCCS classes to GHCs. This study demonstrates the benefits of a translation system for biodiversity monitoring using remote sensing data but also shows that a successful translation is often depending on the degree of ecological knowledge of the habitats and its relationship with land cover and contextual information.
  • Keywords
    Habitat , Land cover , Biodiversity monitoring , Remote sensing , Strategic survey , Plant life forms
  • Journal title
    Ecological Indicators
  • Serial Year
    2014
  • Journal title
    Ecological Indicators
  • Record number

    2093411