• DocumentCode
    1127292
  • Title

    An empirical model and an inversion technique for radar scattering from bare soil surfaces

  • Author

    Oh, Yisok ; Sarabandi, Kamal ; Ulaby, Fawwaz T.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    30
  • Issue
    2
  • fYear
    1992
  • fDate
    3/1/1992 12:00:00 AM
  • Firstpage
    370
  • Lastpage
    381
  • Abstract
    Polarimetric radar measurements were conducted for bare soil surfaces under a variety of roughness and moisture conditions at L -, C-, and X-band frequencies at incidence angles ranging from 10° to 70°. Using a laser profiler and dielectric probes, a complete and accurate set of ground truth data was collected for each surface condition, from which accurate measurements were made of the rms height, correlation length, and dielectric constant. Based on knowledge of the scattering behavior in limiting cases and the experimental observations, an empirical model was developed for σ°hh, σ°vv, and σ° hv in terms of ks (where k=2π/λ is the wave number and s is the rms height) and the relative dielectric constant of the soil surface. The model, which was found to yield very good agreement with the backscattering measurements of the present study as well as with measurements reported in other investigations, was used to develop an inversion technique for predicting the rms height of the surface and its moisture content from multipolarized radar observations
  • Keywords
    inverse problems; moisture; radar theory; remote sensing by radar; soil; C-band; L-band; X-band; backscattering; bare soil surfaces; correlation length; dielectric constant; empirical model; inversion technique; moisture; multipolarized radar observations; radar scattering; relative dielectric constant; rms height; scattering behavior; Dielectric constant; Dielectric measurements; Frequency; Laser radar; Moisture measurement; Radar measurements; Radar scattering; Rough surfaces; Soil measurements; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.134086
  • Filename
    134086