• DocumentCode
    2667909
  • Title

    Probability density function of ocean surface slopes from radar observations

  • Author

    Hauser, Danièle ; CAUDAL, Gerard ; Guimbard, Sébastien ; MOUCHE, Alexis

  • Author_Institution
    Univ. Versailles, Versailles
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1346
  • Lastpage
    1349
  • Abstract
    Airborne radar observations of the sea surface at C- Band and small incidence angles are used to investigate some properties of the surface slope probability density function (pdf). The method is based on the analysis of the variation of the radar cross-section with incidence angle, assuming that the backscatter can be described by the Geometrical Optics theory. First, we show that roughness properties with scales larger than 12 cm can be analyzed in our configuration (C-Band, incidence 7 to 16deg). The radar data are then analyzed in terms of filtered mean square slope under the assumption of a Gaussian slope pdf. Dependence with wind speed of the upwind and total mss are analyzed and compared to various published studies. Finally an analysis of the radar data under a non-Gaussian assumption for the slope pdf is proposed, by applying the compound model suggested by [1].
  • Keywords
    airborne radar; backscatter; ocean waves; oceanographic techniques; radar cross-sections; remote sensing by radar; C-band radar; airborne radar observation; backscatter; geometrical optics; ocean surface slopes; probability density function; radar cross-section; sea surface; small incidence angle radar; Airborne radar; Backscatter; Data analysis; Geometrical optics; Oceans; Probability density function; Radar cross section; Rough surfaces; Sea surface; Surface roughness; kurtosis; mean square slope; ocean surface; radar observations; waves surface slope probability density function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423055
  • Filename
    4423055