• DocumentCode
    142949
  • Title

    Towards the retrieval of multi-year sea ice thickness and deformation state from polarimetric C- and X-band SAR observations

  • Author

    Casey, J. Alec ; Beckers, Justin ; Busche, Thomas ; Haas, Christian

  • Author_Institution
    Dept. of Earth & Atmos. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1190
  • Lastpage
    1193
  • Abstract
    In situ and airborne observations of sea ice properties are compared to polarimetric C- and X-band synthetic aperture radar images acquired in the Lincoln Sea in 2012 and 2013. A decision-tree classification algorithm is developed to separate level and deformed ice, as well as first- and multi-year ice (MYI), using parameters of the Freeman-Durden Decomposition. Preliminary qualitative and quantitative evaluations of the algorithm indicate it has considerable promise for the separation of these ice types. For the MYI class, correlations between backscatter and ice thickness were moderate to strong for the 2012 field observations but were weak for the 2013 field observations. Further research is required to determine whether or not MYI thickness can be inverted from polarimetric C- and X-band SAR data.
  • Keywords
    decision trees; oceanographic regions; oceanographic techniques; radar imaging; radar polarimetry; remote sensing by radar; sea ice; synthetic aperture radar; AD 2012 to 2013; Freeman-Durden decomposition; Lincoln Sea; airborne observations; decision-tree classification algorithm; deformation state; deformed ice; field observations; first-year ice; ice types; multiyear ice class; multiyear sea ice thickness retrieval; polarimetric C-band SAR observation data; polarimetric C-band synthetic aperture radar images; polarimetric X-band SAR observation data; polarimetric X-band synthetic aperture radar images; sea ice properties; Backscatter; Correlation; Ice thickness; Sea ice; Sea measurements; Synthetic aperture radar; Arctic; Sea ice; synthetic aperture radar;
  • 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.2014.6946644
  • Filename
    6946644