• DocumentCode
    326951
  • Title

    Validation of SSM/I sea ice concentration algorithms for the Okhotsk Sea

  • Author

    CHO, Kohei ; Narabu, T. ; Shimoda, Haruhisa ; Sakata, Toshibumi

  • Author_Institution
    Tokai Univ., Kanagawa, Japan
  • Volume
    4
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    1948
  • Abstract
    Satellite passive microwave radiometers, such as SSM/I, can observe sea ice distribution at global scale. Two sea ice concentration algorithms, namely the NASA Team algorithm and the Bootstrap algorithm were compared for the Okhotsk Sea. Though the correlation coefficient of the two ice concentrations were 0.97, the Bootstrap ice concentrations were mostly higher than the NASA Team ice concentrations. In some seasons, the ice concentrations of a particular sea ice area appeared to be much higher for the Bootstrap compared with the NASA Team algorithm. The difference suggested the sea ice condition difference of the area. The reduction of weather/land effects by both algorithms were not as much as expected. The land filter developed by the authors could effectively reduce the land effect
  • Keywords
    geophysical signal processing; oceanographic regions; oceanographic techniques; radiometry; remote sensing; sea ice; Bootstrap algorithm; NASA Team algorithm; Okhotsk Sea; SSM/I; Sea of Okhotsk; image processing; land effect; measurement technique; microwave radiometry; ocean; satellite remote sensing; sea ice; sea ice concentration; sea ice concentration algorithm; spatial distribution; validation; Clustering algorithms; Electromagnetic heating; Filters; Global warming; Microwave radiometry; NASA; Polarization; Satellite broadcasting; Scattering; Sea ice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.703704
  • Filename
    703704