• DocumentCode
    484245
  • Title

    Impact of Vegetation in the Retrieval of Snow Parameters from Backscattering Measurements at the X- and Ku-bands

  • Author

    Macelloni, Giovanni ; Pettinato, Simone ; Santi, Emanuele ; Rott, Helmut ; Cline, Don ; Rebhan, Helge

  • Author_Institution
    Inst. of Appl. Phys., IFAC-CNR, Florence
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In preparation of the satellite mission CoReH2O, one of the six missions which has been selected for scientific and technical feasibility studies within the Earth Explorer Programme of the European Space Agency, experimental and theoretical studies started in order to investigate backscatter properties and improve the methods for retrieval of snow physical properties from SAR data. The aim of this paper is to investigate the impact of vegetation in the retrieval of snow parameters from backscattering measurements at the X- and Ku-bands. First the key vegetation types found in snow covered regions where identified on the basis of available global scale data base. A model able to simulating scattering from a vegetated snow-covered terrain was then developed and implemented. Lastly, a sensitivity analysis to vegetation parameters was conducted on sparse vegetation and coniferous forest.
  • Keywords
    backscatter; radiative transfer; remote sensing; remote sensing by radar; snow; synthetic aperture radar; vegetation; COld REgions Hydrology High-resolution Observatory; CoReH20 satellite mission; Earth Explorer Programme; European Space Agency; Ku-band; X-band; backscattering measurements; coniferous forest; radiative transfer model; scattering simulation; snow retrieval parameters; vegetated snow-covered terrain; vegetation impact; vegetation types; Atmospheric modeling; Backscatter; Earth; Ice; Satellites; Sea measurements; Snow; Space missions; Vegetation mapping; Water; CoReH2O; SAR; Snow; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779322
  • Filename
    4779322