• DocumentCode
    1906753
  • Title

    Floodplain vegetation monitoring with the MetaSensing airborne L-band fully polarimetric radar

  • Author

    Corucci, Linda ; Meta, Adriano ; Coccia, Alex

  • Author_Institution
    MetaSensing BV, Noordwijk, Netherlands
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    553
  • Lastpage
    558
  • Abstract
    In this paper some preliminary results on the classification of vegetation in floodplains by means of the MetaSensing L-band fully polarimetric airborne radar sensor are shown. A test flight has been performed over two selected areas in the Netherlands, where ground truth surveys have been done to validate the outcome of the classification. The aim of the test flight was to access the potential of distinguishing vegetation types with different hydrodinamic roughness. The classification procedure is based on a eigenvalue/eigenvector decomposition of the coherency matrix of the fully polarimetric SAR data.
  • Keywords
    airborne radar; eigenvalues and eigenfunctions; floods; matrix decomposition; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; Netherland; coherency matrix eigenvalue-eigenvector decomposition; floodplain vegetation monitoring; hydrodinamic roughness; metasensing L-band fully Polarimetric Airborne Radar Sensor; polarimetric SAR data; vegetation classification; Entropy; L-band; Matrix decomposition; Rivers; Scattering; Synthetic aperture radar; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2015 16th International
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/IRS.2015.7226341
  • Filename
    7226341