%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Almar, Rafaël
%A Bergsma, E. W. J.
%A Catalan, P. A.
%A Cienfuegos, R.
%A Suarez, L.
%A Lucero, F.
%A Lerma, A. N.
%A Desmazes, F.
%A Perugini, E.
%A Palmsten, M. L.
%A Chickadel, C.
%T Sea state from single optical images : a methodology to derive wind-generated ocean waves from cameras, drones and satellites [+ Correction in: Remote Sensing, 2022, 14(13), 3120, 1 p.]
%D 2021
%L fdi:010081067
%G ENG
%J Remote Sensing
%K optical remote sensing ; waves ; camera ; drone ; satellite
%M ISI:000624436200001
%N 4
%P 679 [8 + correction in: Remote Sensing, 2022, 14(13), 3120, 1 ]
%R 10.3390/rs13040679
%U https://www.documentation.ird.fr/hor/fdi:010081067
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers21-03/010081067.pdf
%V 13
%W Horizon (IRD)
%X 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.
%$ 126 ; 032 ; 020