• DocumentCode
    3538073
  • Title

    Retrieval of snow parameters from Ku-band and X-band radar backscatter measurements

  • Author

    Rott, Helmut ; Heidinger, Markus ; Nagler, Thomas ; Cline, Don ; Yueh, Simon

  • Author_Institution
    ENVEO IT GmbH, Innsbruck, Austria
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Techniques for the retrieval of snow properties from Ku- and X-band radar backscatter measurements were investigated. The work contributes to feasibility studies for the CoReH2O satellite mission of ESA for which a dual frequency SAR, operating at Ku-band (17.2 GHz) and X-band (9.6 GHz), VV and VH polarizations, is proposed. A main parameter to be measured is the snow water equivalent (SWE). For the retrieval of SWE it is necessary to separate the backscatter contributions of the snow volume and the background target and to account for effects of snow grain size. The current version of the SWE retrieval algorithm applies the maximum likelihood approach matching radiative transfer forward computations with measured backscatter data. An application example for SWE retrieval is shown for the Cold Land Processes Experiment (CLPX-II) in Alaska, using Ku-band data of the NASA-JPL PolScat and X-band data of the TerraSAR-X satellite as input.
  • Keywords
    electromagnetic wave scattering; geophysical techniques; grain size; radiative transfer; remote sensing by radar; snow; synthetic aperture radar; CLPX-II; CoReH2O satellite mission; Cold Land Processes Experiment; KU-band radar backscatter measurements; NASA-JPL PolScat data; SWE retrieval algorithm; TerraSAR-X satellite; X-band data; X-band radar backscatter measurements; frequency 17.2 GHz; frequency 9.6 GHz; radiative transfer; snow grain size; snow parameters; snow water equivalent; Backscatter; Current measurement; Frequency; Grain size; Information retrieval; Polarization; Radar measurements; Satellites; Snow; Spaceborne radar; SAR; Snow; backscatter; ice; inversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418024
  • Filename
    5418024