• DocumentCode
    144332
  • Title

    Comparison between DMRT simulations for multilayer snowpack and data from NoSREx report

  • Author

    Xuan-Vu Phan ; Ferro-Famil, Laurent ; Gay, Michel ; Durand, Yves ; Dumont, Marie

  • Author_Institution
    Grenoble Image sPeech Signal & Automatics Lab., Grenoble INP, St. Martin d´Hères, France
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    5040
  • Lastpage
    5043
  • Abstract
    This paper presents a multilayer snowpack Electromagnetic Backscattering Model (EBM), based on Dense Media Radiative Transfer (DMRT). This model is capable of simulating the interaction of electromagnetic waves (EMW) at X-band and Ku-band frequencies with multilayer snowpack. The air-snow interface and snow-ground backscattering components are calculated using the Integral Equation Model (IEM), Fung et al. [1], whereas the volume backscattering component is calculated by the solution of Vector Radiative Transfer (VRT) equation at order 1. We have applied these models using measurement data from NoSREx report [2], which includes SnowScat data in X-band and Ku-band, TerraSAR-X acquisitions and snowpack stratigraphic profiles. The results of model simulations show consistency with the radar observations, and therefore allow the EBM to be used in various applications, such as data assimilation [3].
  • Keywords
    data acquisition; data assimilation; electromagnetic waves; integral equations; radiative transfer; remote sensing by radar; snow; synthetic aperture radar; DMRT simulations; Ku-band frequency; NoSREx report; SnowScat data; TerraSAR-X acquisitions; X-band frequency; air-snow interface; data assimilation; dense media radiative transfer; electromagnetic wave interaction; integral equation model; measurement data; model simulations; multilayer snowpack electromagnetic backscattering model; radar observations; snow-ground backscattering components; snowpack stratigraphic profiles; vector radiative transfer equation; volume backscattering component; Backscatter; Data models; Frequency measurement; Grain size; Mathematical model; Nonhomogeneous media; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947629
  • Filename
    6947629