• DocumentCode
    2188664
  • Title

    Hyperspectral field database in support to coastal wetland mapping

  • Author

    Dehouck, Aurélie ; Lafon, Virginie ; Lubac, Bertrand ; Kervella, Stéphane ; Bru, Driss ; Schmeltz, Marjorie ; Roubache, Amel

  • Author_Institution
    GEO-Transfert, ADERA, Pessac, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2649
  • Lastpage
    2652
  • Abstract
    This paper presents the hyperspectral field measurements acquired at Arcachon (France) over sediments and vegetation species characteristic of the macrotidal lagoon. The reflectance spectra are analyzed to define the variables of interest in order to propose a classification scheme useful for management purposes. The main results show that coupling winter to summer optical multispectral imagery allows discriminating invasive (Spartina anglica) from endemic (Spartina maritima) lower salt-marsh vegetation species. Also, the bottom color and henceforth sediment mineralogy largely influences the determination of seagrass meadows cover. In addition, preliminary results show the potential of identifying biofilms over sandy to muddy sand. Finally, the characterization of macro-algae deposits on the intertidal flats may involve the exploitation of finer and more numerous spectral bands than those typical of classical multispectral imagery.
  • Keywords
    geophysical image processing; minerals; oceanographic techniques; optical images; sand; sediments; vegetation; Arcachon; France; Spartina anglica; Spartina maritima; biofilms; bottom color; classical multispectral imagery; classification scheme; coastal wetland mapping; endemic lower salt-marsh vegetation species; hyperspectral field database; hyperspectral field measurements; intertidal flats; invasive species; macro-algae deposits; macrotidal lagoon; management purposes; muddy sand; reflectance spectra; seagrass meadows cover; sediment mineralogy; spectral bands; summer optical multispectral imagery; vegetation species characteristics; winter optical multispectral imagery; Biomedical optical imaging; Databases; Hyperspectral imaging; Reflectivity; Sediments; Vegetation mapping; Hyperspectral; field data; intertidal flats; mapping; multispectral optical imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350384
  • Filename
    6350384