• DocumentCode
    142845
  • Title

    Impact of beam mode, multi-temporal, and multi-angle combinations of RADARSAT-2 data on class separability for three coastal sites throughout Arctic Canada

  • Author

    Banks, Sarah N. ; Carriere, Melanie ; Demers, Anne-Marie ; Duffe, Jason

  • Author_Institution
    Nat. Wildlife Res. Centre, Environ. Canada, Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1002
  • Lastpage
    1004
  • Abstract
    Scientists at Environment Canada´s National Wildlife Research Centre are working towards operationalizing shoreline sensitivity mapping throughout Arctic Canada. Radarsat-2 imagery is well suited to this application since it is readily available to the Canadian federal government and can also be acquired under all weather conditions. The Bhattacharyya Distance was used in this analysis to assess the potential for accurate classification of various shoreline types using R2 images acquired at different incidence angles and beam modes. Three study sites were considered: Churchill, Manitoba and Richards Island, Northwest Territories, and Victoria Strait, Nunavut. Results indicate greater potential for classification with quad pol data, and that shallow angle images contain more useful information than steep.
  • Keywords
    geophysical image processing; radar imaging; remote sensing by radar; terrain mapping; Arctic Canada; Bhattacharyya Distance; Canadian federal government; Churchill; Environment Canada National Wildlife Research Centre; Manitoba; Northwest Territories; Nunavut; Radarsat-2 imagery; Richards Island; Victoria Strait; beam modes; class separability; coastal sites; incidence angles; multiangle combination; multitemporal combination; quad pol data; shallow angle images; shoreline sensitivity mapping; shoreline types; weather conditions; Accuracy; Arctic; Government; Sea measurements; Sediments; Spatial resolution; Wildlife; Arctic; Classification; Coastal; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946596
  • Filename
    6946596