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Article dans une revue

Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites

Abstract : Sea state is a key variable in ocean and coastal dynamics. The sea state is either sparsely measured by wave buoys and satellites or modelled over large scales. Only a few attempts have been devoted to sea state measurements covering a large domain; in particular its estimation from optical images. With optical technologies becoming omnipresent, optical images offer incomparable spatial resolution from diverse sensors such as shore-based cameras, airborne drones (unmanned aerial vehicles/UAVs), or satellites. Here, we present a standalone methodology to derive the water surface elevation anomaly induced by wind-generated ocean waves from optical imagery. The methodology was tested on drone and satellite images and compared against ground truth. The results show a clear dependence on the relative azimuth view angle in relation to the wave crest. A simple correction is proposed to overcome this bias. Overall, the presented methodology offers a practical way of estimating ocean waves for a wide range of applications.
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https://hal-brgm.archives-ouvertes.fr/hal-03747514
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Soumis le : lundi 8 août 2022 - 12:07:06
Dernière modification le : mardi 9 août 2022 - 03:47:09

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remotesensing-13-00679-v4.pdf
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Rafael Almar, Erwin W J Bergsma, Patricio A Catalan, Rodrigo Cienfuegos, Leandro Suarez, et al.. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sensing, MDPI, 2021, 13 (4), pp.679. ⟨10.3390/rs13040679⟩. ⟨hal-03747514⟩

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