• DocumentCode
    2188997
  • Title

    Snow properties retrieval using TerraSAR-X dual-polarization data

  • Author

    Parrella, Giuseppe ; Della Corte, Annalisa ; Hajnsek, Irena ; Iodice, Antonio

  • Author_Institution
    Microwaves & Radar Inst., German Aerosp. Center, Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4410
  • Lastpage
    4413
  • Abstract
    The interest in using synthetic aperture radar (SAR) to study snow properties has increased in the last years. Snow properties and snow cover change monitoring on global scale are needed for a better understanding of the role of the cryosphere in the climate system [1]. Snow plays also an important role in biogeochemical cycles since it is a basic water resource for many densely populated areas of the planet. In this sense, Snow Water Equivalent (SWE) is the primary parameter to be retrieved. The Cold Regions Hydrology High-resolution Observatory (CoReH2O) satellite mission, selected by the ESA for feasibility studies within the Earth Explorer Programme, is expected to satisfy this need [2]. In this work, the capabilities of the proposed CoReH2O models for SWE (and snowflakes size) retrieval are investigated using TerraSAR-X dual-pol data. Ground measurements from the NoSREx campaign are used for validation.
  • Keywords
    geochemistry; hydrological techniques; remote sensing by radar; snow; synthetic aperture radar; CoReH2O satellite mission; Cold Regions Hydrology High-resolution Observatory; ESA; Earth Explorer Programme; NoSREx campaign; TerraSAR-X dual-polarization data; biogeochemical cycles; climate system; global scale; ground measurement method; snow cover change monitoring; snow properties retrieval; snow water equivalent; snowflakes size; synthetic aperture radar; water resource; Backscatter; Grain size; Scattering; Sensitivity; Size measurement; Snow; Synthetic aperture radar; CoReH2O; SWE; Snow cover; TerraSAR-X;
  • 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.2012.6350395
  • Filename
    6350395