• DocumentCode
    575950
  • Title

    Retrieval of river ice thickness from C-band PolSAR data

  • Author

    Mermoz, Stephane ; Allain, Sophie ; Bernier, Monique ; Pottier, Eric ; Van Der Sanden, Joost ; Chokmani, Karem

  • Author_Institution
    CESBIO, Univ. of Paul Sabatier, Toulouse, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3237
  • Lastpage
    3240
  • Abstract
    Until now, existing models for retrieving river ice thickness are mostly based on environmental data. They require many inputs and indicate a global value of ice thickness for a large heterogeneous area. Studies have been performed intending to retrieve river ice thickness throughout remote sensing using monopolarized C-band radar data. But no reliable ice maps of ice thickness have been produced. In this paper, the information gain from polarimetric SAR data is demonstrated and a river ice thickness model is proposed. This model is applied and validated on Radarsat-2 images acquired at C-band in winter 2009 over the Saint-François River (Southern Quebec), the Kosoak River (Northern Quebec) and the Mackenzie River (Northwest Territories), in Canada. Field campaigns were carried out to obtain more than 70 samples of various river ice thickness. The optimal polarimetric parameter is chosen to retrieve both easily and rapidly river ice thickness. This approach offers reliable spatially distributed ice maps.
  • Keywords
    remote sensing by radar; sea ice; synthetic aperture radar; C-band PolSAR data; Kosoak River; Mackenzie River; Radarsat-2 images; Saint-François River; environmental data; optimal polarimetric parameter; polarimetric SAR data; remote sensing; retrieval; retrieving river ice thickness; Data models; Estimation; Ice thickness; Rivers; Synthetic aperture radar; Thickness measurement; Pol-SAR; River ice; Thickness retrieval;
  • 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.2012.6350734
  • Filename
    6350734