• DocumentCode
    576018
  • Title

    Algorithm for retrieval of snow mass from Ku- and X-band radar backscatter measurements

  • Author

    Rott, Helmut ; Nagler, Thomas ; Voglmeier, Karl ; Kern, Michael ; Macelloni, Giovanni ; Gai, Marco ; Cortesi, Ugo ; Scheiber, Rolf ; Hajnsek, Irena ; Pulliainen, Jouni ; Flach, Dominic

  • Author_Institution
    Inst. for Meteorol. & Geophys., Univ. of Innsbruck, Innsbruck, Austria
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    Snow extent and water equivalent (SWE) on land and snow accumulation on glaciers are the main parameters to be delivered by the Cold Regions Hydrology High-resolution Observatory (CoReH2O) satellite. Detailed scientific and technical studies for the mission are going on within the Earth Explorer Programme of ESA. The CoReH2O sensor is a dual frequency SAR, operating at 17.2 and 9.6 GHz, VV and VH polarizations. A main task for mission preparation is the development and validation of algorithms for retrieval of snow parameters. A constrained minimization approach is proposed for SWE retrieval, matching backscatter computed with a radiative transfer model and measurements in the four SAR channels by iterating for SWE and snow grain size. The algorithm was validated with simulated and measured backscatter data. The tests confirm the feasibility of the retrieval approach and help to quantify the requirements for statistical background information which is needed for constraining the solution.
  • Keywords
    glaciology; grain size; hydrological techniques; radar polarimetry; radiative transfer; snow; synthetic aperture radar; CoReH2O sensor; Cold Regions Hydrology High-resolution Observatory satellite; ESA; Earth Explorer Programme; Ku-band radar backscatter measurement; SAR channels; SWE retrieval; VH polarization; VV polarization; X-band radar backscatter measurement; backscatter data; constrained minimization approach; dual frequency SAR; frequency 17.2 GHz; frequency 9.6 GHz; glaciers; matching backscatter; mission preparation; radiative transfer model; retrieval approach; snow accumulation; snow extent; snow grain size; snow mass; snow parameters; statistical background information; water equivalent; Backscatter; Computational modeling; Ice; Snow; Soil; Synthetic aperture radar; Earth observation; inversion; radiative transfer; snow; synthetic aperture radar;
  • 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.2012.6350911
  • Filename
    6350911