• DocumentCode
    321611
  • Title

    Polarized scattering from random clusters of spatially-oriented, non-spherical scatterers

  • Author

    Jin, Ya-Qiu ; Huang, Xingzhong

  • Author_Institution
    Dept. of Electron. Eng., Fudan Univ., Shanghai, China
  • Volume
    1
  • fYear
    1997
  • fDate
    2-5 Dec 1997
  • Firstpage
    185
  • Abstract
    Identification of atmospheric precipitation and different Earth surfaces and algorithms of the parameter retrieval have been extensively studied during the course of SSM/I calibration/validation effort. However, we have found that some conventional algorithms are not valid in many applications due to their empirical restriction. We have developed the vector radiative transfer modeling at SSM/I channels for Earth surfaces such as snow/vegetation, rough sea surface, scattering media of sea ice, etc., and derived several new algorithms from theoretical simulations to invert some parameters from SSM/I data. Our retrieval results and analysis are well compared with the ground truth data measurements
  • Keywords
    atmospheric precipitation; electromagnetic wave scattering; radar imaging; remote sensing by radar; sea ice; snow; synthetic aperture radar; SAR imaging; SSM/I calibration/validation effort; atmospheric precipitation; ground truth data measurements; parameter retrieval; polarized scattering; random clusters; rough sea surface; scattering media; sea ice; snow; spatially-oriented nonspherical scatterers; vector radiative transfer modeling; vegetation; Calibration; Clustering algorithms; Earth; Ice surface; Polarization; Rough surfaces; Scattering; Sea surface; Snow; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference Proceedings, 1997. APMC '97, 1997 Asia-Pacific
  • Print_ISBN
    962-442-117-X
  • Type

    conf

  • DOI
    10.1109/APMC.1997.659335
  • Filename
    659335