• DocumentCode
    2662323
  • Title

    Moment method/ Monte Carlo simulation of the microwave backscatter of wet-land rice fields

  • Author

    Oh, Yisok ; Hong, Jin-Young

  • Author_Institution
    Hongik Univ., Seoul
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    Polarimetric microwave backscattering coefficients of wet-land rice fields are simulated using a full-wave analysis with the moment method (MM) and Monte Carlo technique. An electric field integral equation (EFIE) for equivalent volume current distributions is formulated with a dyadic Green´s function for three-dimensional lossy dielectric bodies above water surface which is approximated with an impedance boundary. The numerical computations are repeated for many (N=50) different 4times4 clusters which are generated numerically with the Monte Carlo method, to get accurate statistics for the backscattering coefficients. It is found that the numerical results agree quite well with backscatter measurements of a rice field.
  • Keywords
    Monte Carlo methods; backscatter; integral equations; method of moments; microwave measurement; radiative transfer; remote sensing; 3D lossy dielectric bodies; Monte Carlo simulation; dyadic Green´s function; electric field integral equation; equivalent volume current distribution; full-wave analysis; impedance boundary; moment method; polarimetric microwave backscattering coefficients; wet-land rice fields; Analytical models; Backscatter; Computational modeling; Current distribution; Dielectric losses; Green´s function methods; Integral equations; Microwave theory and techniques; Moment methods; Monte Carlo methods; Microwave backscatter; impedance boundary; moment method/Monte-Carlo method; wet-land rice field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4422732
  • Filename
    4422732