Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites
Remote Sensing
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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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites |
| Series title | Remote Sensing |
| DOI | 10.3390/rs13040679 |
| Volume | 13 |
| Issue | 4 |
| Year Published | 2021 |
| Language | English |
| Publisher | MDPI |
| Contributing office(s) | St. Petersburg Coastal and Marine Science Center |
| Description | 679, 8 p. |
| Google Analytic Metrics | Metrics page |