• DocumentCode
    3027240
  • Title

    Wet snow backscattering sensitivity on density change for SWE estimation

  • Author

    Besic, Nikola ; Vasile, G. ; Chanussot, Jocelyn ; Stankovic, Stevan ; Boldo, Didier ; D´Urso, Guy

  • Author_Institution
    GIPSA-Lab., Grenoble Inst. of Technol., Grenoble, France
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1174
  • Lastpage
    1177
  • Abstract
    This paper deals particularly with the sensitivity of the wet snow backscattering coefficient on density change. The presented backscattering model is based on the approach used in the dry snow analysis [1], appropriately modified to account for the increased dielectric contrast caused by liquid water presence. It encircles our undertaking of simulating and analysing snow backscattering using fundamental scattering theories (IEM-B, QCA, QCA-CP). The wet snow parameters are chosen according to the area of the particular interest - the French Alps, while the choice of the SAR sensor parameters (frequency, polarization) is primarily conditioned by the initially settled goal - reaching qualitative conclusions concerning wet snow backscattering mechanism. Based on simulation results, we state the dominance of the snow pack surface backscattering component, causing the backscattering to be directly proportional to the volumetric liquid water content. This result is confirmed by the performed in situ measurements. We illustrate as well the decrease of this effect with the increase in operating frequency.
  • Keywords
    hydrological techniques; remote sensing by radar; snow; synthetic aperture radar; French Alps; SAR sensor parameters; SWE estimation; backscattering model; density change; dielectric contrast; dry snow analysis; volumetric liquid water content; wet snow backscattering coefficient; wet snow backscattering sensitivity; Backscatter; Dielectric constant; Estimation; Ice; Remote sensing; Sensitivity; Snow; SAR; SWE; backscattering; density; wet snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721375
  • Filename
    6721375