• DocumentCode
    2191084
  • Title

    Sea ice detection in the sea of Okhotsk using PALSAR and MODIS data

  • Author

    Wakabayashi, Hiroyuki ; Mori, Yuta ; Nakamura, Kazuki ; Yang, Chan-Su

  • Author_Institution
    Coll. of Eng., Nihon Univ., Koriyama, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4473
  • Lastpage
    4476
  • Abstract
    The objective of this research is into detecting sea ice by using PALSAR (Phased-Array type L-band SAR) polarimetric data. It is generally difficult to detect thin sea ice area by using the methods based on the backscattering coefficient. We propose a new method utilizing scattering entropy to detect sea ice. This paper shows the results of extracting sea ice area from PALSAR fully polarimetric data acquired from 2009 to 2010. The MODIS (Moderate Resolution Imaging Spectroradiometer) data are used as sea ice reference. The threshold of PALSAR scattering entropy to discriminate sea ice from open water is determined from the distribution of scattering entropy for both sea ice and open water. We compared PALSAR derived sea ice area with MODIS derived area. Since most of PALSAR detected sea ice area is also detected by MODIS data, we can conclude that our proposed method is reliable to detect thin sea ice area in the Sea of Okhotsk. The high resolution backscattering and scattering entropy images give us an idea that there are some difficulties in detecting thin sea ice only by backscattering coefficient.
  • Keywords
    geophysical image processing; geophysical techniques; oceanographic regions; radiometry; remote sensing by radar; sea ice; AD 2009 to 2010; MODIS data; Moderate Resolution Imaging Spectroradiometer; Okhotsk sea; PALSAR data; PALSAR polarimetric data; PALSAR scattering entropy; Phased-Array type L-band SAR; backscattering coefficient; open water; scattering entropy distribution; sea ice area; sea ice detection; sea ice reference; Backscatter; Entropy; MODIS; Scattering; Sea ice; Sea surface; polarimetric SAR; scattering entropy; sea ice;
  • 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.2012.6350478
  • Filename
    6350478