• DocumentCode
    298001
  • Title

    Statistics of radar backscatter from wind waves

  • Author

    Long, David G. ; Reed, Ryan ; Arnold, David V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    1475
  • Abstract
    Measurements of wind wave scattering made by the Yscat ultra wide-band radar are used to study the statistics of the sea surface radar backscatter. As a comparison tool, a simple model based on composite Bragg scattering theory is developed and incorporated in a Monte Carlo simulation. The power and velocity distributions are computed from both empirical and simulated data. Comparison suggests that the composite scattering model accurately predicts the qualitative behavior of the radar return for incidence angles between 30° and 50° for both V and H polarization, but that other scattering mechanisms begin to influence the return at 20° and 60° incidence angles. While it has been postulated that additional scattering mechanisms (e.g. wave breaking and wedge scattering) may contribute to the total scattering, our results suggest that such scatterers do not significantly contribute to the total radar cross section for incidence angles between 30° and 50
  • Keywords
    Monte Carlo methods; backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; lakes; ocean waves; radar cross-sections; remote sensing by radar; statistical analysis; wind; Monte Carlo simulation; Yscat ultra wide-band radar; composite Bragg scattering theory; incidence angles; polarization; power distributions; radar backscatter; radar return; sea surface radar backscatter; total radar cross section; velocity distributions; wind waves; Backscatter; Radar measurements; Radar scattering; Sea measurements; Sea surface; Statistical distributions; Statistics; Surface waves; Ultra wideband radar; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516702
  • Filename
    516702