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Statistical characterization of short wind waves from stereo images of the sea surface 5
Mironov, Alexey; Yurovskaya, M. V.; Dulov, V. A.; Hauser, D.; Guerin, C.a..
We propose a methodology to extract short-scale statistical characteristics of the sea surface topography by means of stereo image reconstruction. The possibilities and limitations of the technique are discussed and tested on a data set acquired from an oceanographic platform at the Black Sea. A validation is made with simultaneous in situ measurements as well as results from the literature. We show that one- and two-point properties of the short-scale roughness can be well estimated without resorting to an interpolation procedure or an underlying surface model. We obtain the first cumulants of the probability distribution of small-scale elevations and slopes as well as related structure functions. We derive an empirical parametrization for the skewness...
Tipo: Text Palavras-chave: Ocean field study; Radar backscattering modeling; Remote sensing; Sea surface; Short wind waves; Stereo photography.
Ano: 2012 URL: http://archimer.ifremer.fr/doc/00114/22511/20194.pdf
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Directional short wind wave spectra derived from the sea surface photography 5
Yurovskaya, M. V.; Dulov, V. A.; Chapron, Bertrand; Kudryavtsev, V. N..
New field measurements of 2-D wave number short wind wave spectra in the wavelength range from few millimeters to few decimeters are reported and discussed. The measurement method is based on stereophotography and image brightness contrast processing. As found, the spectra of decimeter waves are almost isotropic and weakly dependent on the wind speed. Both directional anisotropy and wind sensitivity rapidly increase at wave numbers larger than 100 rad/m. These aspects are consistent with other previously reported optical and radar data. Following these new in situ measurements, a revision of a semiempirical model of short wind wave spectrum is suggested. This revised model can readily be implemented in other studies (radar scattering, air-sea interaction...
Tipo: Text Palavras-chave: Wave directional spectrum; Field measurements; Spectrum modeling; Gravity-capillary waves; Image processing.
Ano: 2013 URL: http://archimer.ifremer.fr/doc/00164/27566/25927.pdf
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