• DocumentCode
    2151592
  • Title

    Backscattering of electromagnetic waves from layered rough surfaces and its application in estimating deep soil moisture

  • Author

    Tabatabaeenejad, Alireza ; Moghaddam, Mahta

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
  • Volume
    5
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3526
  • Abstract
    An analytical method to calculate the scattering coefficients of a three-layer 3D rough surface is introduced. The two rough interfaces are assumed to be distinct. The waves in each region are represented as a superposition of an infinite number of up- and down-going spectral wave components, whose amplitudes are found by applying the boundary conditions. A small-perturbation formulation is used in the process and the scattering coefficients are derived to the first order. The formulation is validated against known solutions for special cases of flat interfaces as well as the single rough surfaces. Results are then generated for several cases of the three-layer rough interface medium, to be used for modeling of the backscattered signals from a tower-based radar system and subsequent estimation of multilayered soil properties such as moisture content and subsurface layer height
  • Keywords
    backscatter; electromagnetic wave scattering; hydrological techniques; remote sensing by radar; rough surfaces; soil; backscattering; deep soil moisture; layered rough surfaces; scattering coefficients; subsurface layer height; tower-based radar system; Backscatter; Boundary conditions; Electromagnetic scattering; Radar scattering; Rough surfaces; Signal generators; Soil moisture; Soil properties; Surface roughness; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370470
  • Filename
    1370470