• DocumentCode
    2678777
  • Title

    Interpretation of C-band SAR backscattering coefficient time series for the Baltic Sea landfast sea ice using a 1-D thermodynamic snow/ice model

  • Author

    Mäkynen, Marko ; Cheng, Bin ; Similä, Markku ; Vihma, Timo ; Hallikainen, Martti

  • Author_Institution
    Helsinki Univ. of Technol., Helsinki
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3983
  • Lastpage
    3986
  • Abstract
    We have compared time series of C-band HH-polarization backscattering coefficients (sigmadeg ) of the Baltic Sea land-fast level ice with results from a 1D high-resolution thermodynamic snow/ice model (HIGHTSI). The sigmadeg time series were obtained from ENVISAT synthetic aperture radar (SAR) images acquired in February 3 - April 7, 2004, and February 6 - April 30, 2006. Typically the HIGHTSI results greatly helped to interpret the sigmadeg behavior with changing weather conditions. There were some cases where detailed ground truth, combined with theoretical sigmadeg modeling, would have been needed for interpretation of the sigmadeg trends. From the point of view of operational Baltic Sea ice monitoring with SAR images, the most interesting observation was the large variation of level ice sigmadeg with changing weather conditions.
  • Keywords
    backscatter; hydrological techniques; ice; oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; time series; 1D thermodynamic snow-ice model; AD 2004 02 03 to 04 07; AD 2006 02 06 to 04 30; Baltic sea landfast ice; C-band HH-polarization backscattering coefficients; C-band SAR backscattering coefficient time series; ENVISAT SAR images; HIGHTSI; changing weather conditions; synthetic aperture radar images; Backscatter; Condition monitoring; Laboratories; Marine technology; Sea ice; Snow; Space technology; Synthetic aperture radar; Testing; Thermodynamics; Radar scattering; sea ice; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423721
  • Filename
    4423721