• DocumentCode
    576596
  • Title

    A numerical model for microwave emission from soil with vegetation cover

  • Author

    Camacho, Luis M. ; Tjuatja, Saibun

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5173
  • Lastpage
    5176
  • Abstract
    A numerical approach to model the microwave emission from soil with vegetation cover is developed. The vegetation cover is represented as an irregular layer on top of a homogeneous half space representing the soil. The phase matrix of the layer components as well as the emission characteristics have been estimated using the Finite-Difference Time-Domain (FDTD) Method. The phase matrix was then integrated into a layer model that accounts for the scattering between the layer and soil, using the radiative transfer theory. The effects of interface roughness on emission are incorporated into the model through the surface phase matrices, which are computed using the Integral Equation Model (IEM). The validity of the phase matrices computation is tested against theoretical models. The microwave emission model predictions are compared to field measurements, showing a good agreement.
  • Keywords
    finite difference time-domain analysis; integral equations; radiative transfer; soil; vegetation; FDTD method; Finite-Difference Time-Domain; IEM; Integral Equation Model; emission characteristics; homogeneous half space; interface roughness; irregular layer; microwave emission model predictions; numerical model; phase matrices computation; radiative transfer theory; soil; surface phase matrices; vegetation cover; Computational modeling; Mathematical model; Microwave radiometry; Microwave theory and techniques; Scattering; Soil; Vegetation mapping; Passive microwave remote sensing; computational electromagnetics; electromagnetic modeling; soil; vegetation mapping;
  • 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.2012.6352445
  • Filename
    6352445