• DocumentCode
    3294402
  • Title

    Habitat mapping and quality assessment of heathlands using a modified kernel-based reclassification technique

  • Author

    Thoonen, G. ; Spanhove, T. ; Haest, B. ; Borre, J Vanden ; Scheunders, P.

  • Author_Institution
    Vision Lab., Univ. of Antwerp, Antwerp, Belgium
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2707
  • Lastpage
    2710
  • Abstract
    This article presents a method for acquiring habitat maps, intended for monitoring and evaluating the conservation status of heathland vegetation, starting from thematic land cover maps. The procedure is a modified kernel-based reclassification technique, that fits into a complete habitat quality assessment framework. Part one of the procedure shifts a small square kernel over the land cover map and assigns a habitat type to each position that complies with a single set of expert rules, related to the land cover composition in that position. Part two fills the gaps, by assigning a habitat type to any of the map positions that don´t conform to any of the rules, or to more than one set of rules, by using a distance measure. The technique is tested on real data from a heathland site and shows some promising results.
  • Keywords
    environmental factors; geophysical image processing; geophysical techniques; image classification; terrain mapping; vegetation mapping; Belgium; Kalmthoutse Heide; environmental factors; habitat mapping; heathland vegetation; image classification; kernel-based reclassification technique; quality assessment; thematic land cover maps; vegetation mapping; Accuracy; Europe; Kernel; Monitoring; Vegetation mapping; Water heating; Environmental factors; Image classification; Remote sensing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649240
  • Filename
    5649240