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

Almar, Rafael; Bergsma, Erwin W. J.; Catalan, Patricio A.; Cienfuegos, Rodrigo; Suarez, Leandro; Lucero, Felipe; Nicolae Lerma, Alexandre; Desmazes, Franck; Perugini, Eleonora; Palmsten, Margaret L.; Chickadel, Chris

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.

Más información

Título según WOS: Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites
Título de la Revista: REMOTE SENSING
Volumen: 13
Número: 4
Editorial: MDPI
Fecha de publicación: 2021
DOI:

10.3390/rs13040679

Notas: ISI