• DocumentCode
    1111836
  • Title

    Directional wave spectra by inversion of ERS-1 synthetic aperture radar ocean imagery

  • Author

    Engen, G. ; Johnsen, H. ; Krogstad, H.E. ; Barstow, S.F.

  • Author_Institution
    NORUT Inf. Tech., Tromso, Norway
  • Volume
    32
  • Issue
    2
  • fYear
    1994
  • fDate
    3/1/1994 12:00:00 AM
  • Firstpage
    340
  • Lastpage
    352
  • Abstract
    An algorithm that extracts the directional ocean wave spectrum from synthetic aperture radar (SAR) ocean image spectra is implemented and applied to spaceborne C-band SAR data obtained from the ERS-1 satellite. The nonlinear iterative algorithm is based on the Hasselmann´s forward spectral transform extended to include the range bunching effect. An analytic expression for the wave spectral increment is derived based on the exact gradient of the quasilinear ocean-to-SAR transform. Enhanced wave spectra have been obtained using first-guess wave spectra either from the numerical wave model WINCH operated by the Norwegian Meteorological Institute or synthesized from nondirectional wave data and meteorological conditions. The inverted spectra are compared to in situ directional wave data. It is concluded that the wave imagery from ERS-1 appears to be of excellent quality, and as soon as the backscatter modulation transfer functions are properly understood, satellite SAR data will be an important tool for enhancing and extending conventional wave measurements and results from numerical wave models
  • Keywords
    inverse problems; ocean waves; oceanographic techniques; remote sensing; remote sensing by radar; synthetic aperture radar; C-band; ERS-1; Hasselmann; Hasselmann´s forward spectral transform; SAR method; analytic expression; direction; directional wave spectra; enhanced wave spectra; measurement technique; microwave SHF; nonlinear iterative algorithm; numerical wave model WINCH; ocean imagery; ocean wave sea surface; ocean-to-SAR transform; radar remote sensing; range bunching effect; synthetic aperture radar; wave spectral increment; Backscatter; Data mining; Iterative algorithms; Meteorology; Numerical models; Ocean waves; Satellites; Spaceborne radar; Synthetic aperture radar; Winches;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.295049
  • Filename
    295049