• DocumentCode
    983979
  • Title

    SAR image statistics related to atmospheric drag over sea ice

  • Author

    Burns, Barbara A.

  • Author_Institution
    Alfred Wegener Inst. for Polar & Marine Res., Bremerhaven, West Germany
  • Volume
    28
  • Issue
    2
  • fYear
    1990
  • fDate
    3/1/1990 12:00:00 AM
  • Firstpage
    158
  • Lastpage
    165
  • Abstract
    The possibility of using synthetic aperture radar (SAR) data to distinguish sea-ice regions with different atmospheric drag is explored. Both the amplitude of the radar return and statistics derived from SAR image data are examined. Roughness statistics data from several pack-ice areas are used in a backscatter model to predict the return from surfaces with measured drag coefficients. The results suggest that the scattering coefficient for typical radar wavelengths is insensitive to the roughness elements responsible for the observed drag coefficient variations over pack ice free of major ridges. For marginal ice zones, where ice concentration and floe deformation contribute to atmospheric drag, a simple model for the atmospheric boundary layer is used to provide qualitative relationships between drag coefficient and regional ice properties (ice concentration, floe size distribution, floe edge density) derivable from SAR data. Simple algorithms to produce maps of ice concentration and edge density are outlined and applied to 23.5-cm SAR digital image data
  • Keywords
    atmospheric boundary layer; radar measurement; sea ice; 23.5 cm; UHF; atmospheric boundary layer; atmospheric drag; backscatter model; floe deformation; image statistics; marginal ice zones; pack ice; radar return; ridges; roughness; scattering coefficient; sea-ice regions; synthetic aperture radar; Atmospheric modeling; Atmospheric waves; Backscatter; Predictive models; Radar imaging; Radar scattering; Rough surfaces; Sea ice; Statistics; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.46694
  • Filename
    46694