• DocumentCode
    1883917
  • Title

    Vector electromagnetic scattering from layered rough surfaces with buried discrete random media for subsurface and root-zone soil moisture sensing

  • Author

    Duan, Xueyang ; Moghaddam, Mahta

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1227
  • Lastpage
    1230
  • Abstract
    In this work, a 3D scattering model from layered arbitrarily random rough surfaces with embedded discrete random scatterers is constructed based on the scattering matrix approach. Scattering matrix of a single rough surface is found using the stabilized extended boundary condition method (SEBCM). Meanwhile, by finding the T matrices of discrete scatterers using analytical or numerical methods, the random medium scattering solution is found based on the recursive T-matrix approach and near-to-far field transformed numerical plane wave expansion of the vector spherical harmonics. Solutions provided in this work include multiple scattering effects among the medium scatterers and between subsurfaces and sublayers. The high computational efficiency and accuracy of this method enable it to serve as a powerful tool for studying the role of vegetation roots and other sublayer inhomogeneities in retrieval of subsurface and root zone soil moisture from radar measurements.
  • Keywords
    S-matrix theory; hydrological techniques; inhomogeneous media; remote sensing by radar; soil; vegetation; 3D scattering model; buried discrete random media; embedded discrete random scatterers; layered arbitrarily random rough surface; near-to-far field transformed numerical plane wave expansion; radar measurement; recursive T-matrix approach; root-zone soil moisture sensing; scattering matrix approach; stabilized extended boundary condition method; sublayer inhomogeneity; subsurface remote sensing; subsurface soil moisture sensing; vector electromagnetic scattering; vector spherical harmonics; vegetation roots; Harmonic analysis; Random media; Rough surfaces; Scattering; Soil moisture; Surface roughness; Vegetation; Discrete random media scattering; layered random rough surface scattering; numerical plane wave expansion of spherical harmonics; recursive T-matrix method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049420
  • Filename
    6049420