• DocumentCode
    61269
  • Title

    Sea Ice Detection in the Sea of Okhotsk Using PALSAR and MODIS Data

  • Author

    Wakabayashi, H. ; Mori, Yojiro ; Nakamura, Kentaro

  • Author_Institution
    Coll. of Eng., Nihon Univ., Koriyama, Japan
  • Volume
    6
  • Issue
    3
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1516
  • Lastpage
    1523
  • Abstract
    In this paper, we propose a new method for improving detection of sea ice through use of PALSAR (Phased-Array type L-band SAR) polarimetric data. Unlike traditional methods that are based on backscattering coefficient, our proposed method utilizes scattering entropy to detect sea ice. We tested this method by comparing sea ice area derived from PALSAR fully polarimetric data covering the Sea of Okhotsk acquired in 2009 and 2010 to that derived from reference MODIS (Moderate Resolution Imaging Spectroradiometer) data of the same region. We applied discriminant analysis to samples of sea ice and open water to determine the threshold of PALSAR backscattering coefficient and scattering entropy needed to discriminate sea ice from open water. We found that sea ice area derived from PALSAR data was equivalent to that derived from MODIS data, suggesting that our proposed method was reliable in the detection of sea ice in the Sea of Okhotsk.
  • Keywords
    entropy; oceanographic regions; oceanographic techniques; radiometry; remote sensing by radar; sea ice; synthetic aperture radar; AD 2009; AD 2010; PALSAR backscattering coefficient; PALSAR fully polarimetric data; PALSAR scattering entropy; Sea of Okhotsk; discriminant analysis; moderate resolution imaging spectroradiometer data; open water sample; phased-array type L-band SAR polarimetric data; reference MODIS data; sea ice area; sea ice detection; sea ice discrimination; sea ice sample; traditional methods; Backscattering coefficient; discriminant analysis; polarimetric SAR; scattering entropy; sea ice;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2258327
  • Filename
    6516092