• DocumentCode
    2852857
  • Title

    Modeling Active Microwave Remote Sensing of Snow using Dense Media Radiative Transfer (DMRT) Theory with Multiple Scattering Effects

  • Author

    Tsang, L. ; Pan, Jin ; Liang, Ding ; Li, Zhongxin ; Cline, Don

  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    477
  • Lastpage
    480
  • Abstract
    Dense media radiative transfer theory (DMRT) is used to study the multiple scattering effects in active microwave remote sensing. To solve the dense media radiative transfer equation, we decompose the diffuse intensities into Fourier series in the azimuthal direction. Each harmonic is solved by the eigen-quadrature approach. The solution includes full multiple scattering effects within DMRT. Comparisons are made with the first order and the second order solutions. The model is applied to active microwave remote sensing of terrestrial snow. Full multiple scattering effects are important as the optical thickness for snow often exceed unity. The results are illustrated as a function of frequency, incidence angle and snow depth. The results show that cross polarization can be significant and can be only 6 to 8 dB below co-polarization, a result that is consistent with experimental observations. Also we note that even at snow depth of more than one meter, the active 13.5 GHz backscattering coefficients still have significant sensitivity to snow thickness.
  • Keywords
    backscatter; electromagnetic wave scattering; microwave measurement; radiative transfer; remote sensing; snow; Fourier series; active microwave remote sensing; backscattering coefficients; cross polarization; dense media radiative transfer theory; eigen-quadrature approach; incidence angle; multiple scattering effects; optical thickness; snow depth; Backscatter; Equations; Fourier series; Frequency; Microwave theory and techniques; Optical polarization; Optical scattering; Optical sensors; Remote sensing; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.127
  • Filename
    4241274