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
Link To Document