Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites
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.
Citation Information
| Publication Year | 2021 |
|---|---|
| Title | Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites |
| DOI | 10.3390/rs13040679 |
| Authors | Rafael Almar, Erwin W. J. Bergsma, Patrico A. Catalan, Rodrigo Cienfuegos, Leandro Suarez, Felipe Lucero, Alexandre Nicolae Lerma, Franck Desmazes, Eleonora Perugini, Margaret L. Palmsten, Chris Chickadel |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Remote Sensing |
| Index ID | 70236572 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | St. Petersburg Coastal and Marine Science Center |