• DocumentCode
    1233986
  • Title

    Radar Volume Backscatter From Spatially Extended Geophysical Targets in a “Slice” Approach

  • Author

    Yurchak, Boris S.

  • Author_Institution
    Goddard Earth Sci. & Technol. Center, Univ. of Maryland, Greenbelt, MD, USA
  • Volume
    47
  • Issue
    11
  • fYear
    2009
  • Firstpage
    3690
  • Lastpage
    3696
  • Abstract
    This paper presents an assessment of the radar backscatter from a spatially extended geophysical target (SEGT) based on a semiempirical (SE) model. An SEGT is any geophysical object that is at least semitransparent to radar illumination (clouds, rain, snowfall in the atmosphere, thick snow cover of the ground). The existing SE model does not take into account the statistical properties of the SEGT´s media. To improve the SE model, a so-called ldquoslicerdquo approach is applied. In this approach, the particles located close to the wavefront of the radar illumination are assumed to produce backscatter that is mainly coherent. This method allows the contribution of the microphysical parameters of the scattering media to the volume component of the radar cross section to be described more comprehensively than the SE model based on the incoherent approach. It is shown that the slice concept results in the original SE model in the particular case when the particle number fluctuation within the slices pertains to the Poisson law.
  • Keywords
    atmospheric humidity; atmospheric techniques; backscatter; clouds; radar cross-sections; rain; remote sensing by radar; SEGT; clouds; geophysical object; microphysical parameter; radar backscatter; radar cross section; radar illumination; rain; scattering media; semiempirical model; slice approach; snow cover; snowfall; spatially extended geophysical targets; Radar scattering; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2015444
  • Filename
    4813216