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Remote sensing of coastal vegetation in the Netherlands and Belgium
Provoost, S.; Van Til, M.; Deronde, B.; Knotters, A. (2005). Remote sensing of coastal vegetation in the Netherlands and Belgium, in: Herrier, J.-L. et al. (Ed.) Proceedings 'Dunes and Estuaries 2005': International Conference on nature restoration practices in European coastal habitats, Koksijde, Belgium 19-23 September 2005. VLIZ Special Publication, 19: pp. 139-149
In: Herrier, J.-L. et al. (2005). Proceedings 'Dunes and Estuaries 2005': International Conference on nature restoration practices in European coastal habitats, Koksijde, Belgium 19-23 September 2005. VLIZ Special Publication, 19. Vlaams Instituut voor de Zee (VLIZ): Oostende. XIV, 685 pp., meer
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, meer
Beschikbaar in  Auteurs | Dataset 
Documenttype: Congresbijdrage
Trefwoorden
    Belgium
    Europe, The Netherlands
    Information > Information processing > Recording > Mapping
    Information systems > GIS
    Mapping
    Netherlands
    Remote sensing
    Systems > Information systems > Geographical information systems
    Techniques > Detection > Sensing > Remote sensing
    The Netherlands
    Vegetation
    Vegetation
    Vegetation
    België [Marine Regions]; Belgium [Marine Regions]; Nederland [Marine Regions]
    Marien/Kust
Auteurs  Top | Dataset 
  • Provoost, S., meer
  • Van Til, M.
  • Deronde, B., meer
  • Knotters, A.
Abstract
    Vegetation maps are frequently used in conservation planning and evaluation. Monitoring commitments, a.o. in relation to the European Habitat Directive, increase the need for efficient mapping tools. This paper explores methods of vegetation mapping with particular attention to automated classification of remotely sensed images. Characteristics of two main types of imagery are discussed, very high spatial resolution false colour images on the one hand and hyperspectral images on the other. The first type has proved its qualities for mapping of - mainly - vegetation structure in dunes and salt marshes. Hyperspectral imagery enables thematic detail but encounters more technical problems.
Dataset
  • Hyperspectrale vliegtuigopnamen duinvegetatie Vlaamse kust, meer
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