• DocumentCode
    2230229
  • Title

    Multilayer snowpack backscattering model and assimilation of TerraSAR-X satellite data

  • Author

    Phan, Xuan-Vu ; Ferro-Famil, Laurent ; Gay, Michel ; Durand, Yves ; Dumont, Marie ; D´Urso, Guy

  • Author_Institution
    Grenoble Image sPeech Signal & Automatics Lab., Grenoble INP, StMartin d´´Hères, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5856
  • Lastpage
    5859
  • Abstract
    The advantages of the new generation of radar systems with high resolution image, short revisit time provide the possibility of characterization and monitoring the evolution of the cryoshpere. In this paper, we propose an adaptation of the multilayer snow backscattering model based on radiative transfer theory in order to estimate the total backscattering coefficient of high frequency (X-band) electromagnetic wave on snowcover area. Next, from the physical model, we develop the adjoint operator and implement a variational assimilation scheme in order to constrain the snow stratigraphy profiles calculated by CROCUS, a snow metamorphism model used by MeteoFrance. Some tests are carried out with TerraSAR-X image data. The results show that the snow stratigraphy profiles obtained after the data assimilation process have good agreement with the measured profiles, and therefore show the high potential of this method in constraining the snowpack profiles of CROCUS.
  • Keywords
    atmospheric electromagnetic wave propagation; radiative transfer; remote sensing by radar; snow; stratigraphy; CROCUS snowpack profiles; TERRASAR-X satellite data; TerraSAR-X image data; X-band electromagnetic wave; cryoshpere evolution; high resolution image; multilayer snowpack backscattering model; radar system generation; radiative transfer theory; snow metamorphism model; snow stratigraphy profiles; variational assimilation scheme; Adaptation models; Backscatter; Data assimilation; Data models; Nonhomogeneous media; 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.2012.6352277
  • Filename
    6352277