• DocumentCode
    2597807
  • Title

    A validation method for bare soil surface parameters inverted by Oh empirical model using integral equation method

  • Author

    Qiang, Yin ; Fang, Cao ; Wen, Hong

  • Author_Institution
    Nat. Key Lab. of Microwave Imaging Technol., Beijing
  • fYear
    2007
  • fDate
    5-9 Nov. 2007
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    A new method is developed to validate the parameter inversion results of the empirical models proposed by Oh et al. for bare soil surface. Oh et al. developed a series of empirical models for retrieving bare soil moisture and root mean square (rms) height, while Fung et al. proposed integral equation method (IEM) to provide the relationship between backscattering coefficient and surface parameters in a rather wide range of roughness and moisture conditions. The proposed validation method combines the empirical scattering model Oh and the theoretical scattering model IEM, which provides a method to show the accuracy of the inversion results. This method needs no ground truth measurement of surface in situ.
  • Keywords
    airborne radar; backscatter; integral equations; mean square error methods; moisture measurement; radar polarimetry; remote sensing by radar; soil; statistical analysis; synthetic aperture radar; AIRSAR polarimetric data; Oh empirical scattering model; backscattering coefficient; bare soil moisture retrieval; integral equation method; parameter inversion; remote sensing; root mean square method; Backscatter; Integral equations; Microwave imaging; Microwave technology; Microwave theory and techniques; Moisture; Rough surfaces; Scattering; Soil measurements; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-1188-7
  • Electronic_ISBN
    978-1-4244-1188-7
  • Type

    conf

  • DOI
    10.1109/APSAR.2007.4418591
  • Filename
    4418591