Publications des scientifiques de l'IRD

Almar Rafaël, Bergsma E. W. J., Catalan P. A., Cienfuegos R., Suarez L., Lucero F., Lerma A. N., Desmazes F., Perugini E., Palmsten M. L., Chickadel C. (2021). 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.]. Remote Sensing, 13 (4), 679 [8 p.+ correction in: Remote Sensing, 2022, 14(13), 3120, 1 p.].

Titre du document
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.]
Année de publication
2021
Type de document
Article référencé dans le Web of Science WOS:000624436200001
Auteurs
Almar Rafaël, Bergsma E. W. J., Catalan P. A., Cienfuegos R., Suarez L., Lucero F., Lerma A. N., Desmazes F., Perugini E., Palmsten M. L., Chickadel C.
Source
Remote Sensing, 2021, 13 (4), 679 [8 p.+ correction in: Remote Sensing, 2022, 14(13), 3120, 1 p.]
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Limnologie physique / Océanographie physique [032] ; Télédétection [126]
Localisation
Fonds IRD [F B010081067]
Identifiant IRD
fdi:010081067
Contact