• DocumentCode
    894112
  • Title

    Retrievals of underlying surface roughness and moisture from polarimetric pulse echoes in the specular direction through stratified vegetation canopy

  • Author

    Jin, Ya-Qiu ; Chen, Fei ; Chang, Mei

  • Author_Institution
    Minist. of Educ., Fudan Univ., Shanghai, China
  • Volume
    42
  • Issue
    2
  • fYear
    2004
  • Firstpage
    426
  • Lastpage
    433
  • Abstract
    The time-dependent Mueller matrix solution of vector radiative transfer for stratified random media of nonspherical scatterers is presented. Copolarized and cross-polarized bistatic scattering for a polarized pulse incidence are numerically simulated. Numerical results well demonstrate volumetric and surface scattering mechanism and depict the fraction distribution of random scatterers of stratified random media. The peak tails in polarized echoes due to wave reflections from the underlying surface can be identified. Its copolarized peaks in the specular direction are employed for simultaneous retrievals of the underlying surface roughness and moisture with the presence of stratified vegetation canopy.
  • Keywords
    backscatter; polarisation; radar cross-sections; radar polarimetry; radiative transfer; remote sensing by radar; soil; synthetic aperture radar; terrain mapping; topography (Earth); vegetation mapping; copolarized bistatic scattering; cross-polarized bistatic scattering; fraction distribution; nonspherical scatterers; numerical simulation; peak tails; polarimetric pulse echoes; polarized echoes; polarized pulse incidence; specular direction; stratified random media; stratified vegetation canopy; surface moisture; surface roughness; surface scattering; temporal Mueller matrix; time-dependent Mueller matrix solution; vector radiative transfer; volumetric scattering; wave reflections; Moisture; Numerical simulation; Polarization; Random media; Reflection; Rough surfaces; Scattering; Surface roughness; Tail; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.818810
  • Filename
    1266731