Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites

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dc.catalogadoraba
dc.contributor.authorAlmar, R.
dc.contributor.authorBergsma, E. W. J.
dc.contributor.authorCatalán, P. A.
dc.contributor.authorCienfuegos Carrasco, Rodrigo Alberto
dc.contributor.authorSuárez Atias, Leandro
dc.contributor.authorLucero, F.
dc.contributor.authorLerma, A. N.
dc.contributor.authorDesmazes, F.
dc.contributor.authorPerugini, E.
dc.contributor.authorPalmsten, M. L.
dc.contributor.authorChickadel, C.
dc.date.accessioned2024-06-10T21:25:31Z
dc.date.available2024-06-10T21:25:31Z
dc.date.issued2021
dc.description.abstractSea 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.
dc.fechaingreso.objetodigital2024-06-10
dc.format.extent8 páginas
dc.fuente.origenConveris
dc.fuente.origenORCID
dc.identifier.doi10.3390/rs13040679
dc.identifier.issn2072-4292
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85100918845
dc.identifier.urihttps://doi.org/10.3390/rs13040679
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86703
dc.identifier.wosidWOS:000624436200001
dc.information.autorucEscuela de Ingeniería; Cienfuegos Carrasco, Rodrigo Alberto; 0000-0001-5768-2477; 8598
dc.information.autorucEscuela de Ingeniería; Suárez Atias, Leandro; S/I; 189021
dc.issue.numero4
dc.language.isound
dc.nota.accesocontenido completo
dc.pagina.final8
dc.pagina.inicio1
dc.revistaRemote Sensing
dc.rightsacceso abierto
dc.rights.licenseATTRIBUTION 4.0 INTERNATIONAL
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectOptical remote sensing
dc.subjectWaves
dc.subjectCamera
dc.subjectDrone
dc.subjectSatellite
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleSea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites
dc.typeartículo
dc.volumen13
sipa.codpersvinculados8598
sipa.codpersvinculados189021
sipa.trazabilidadORCID;2024-06-03
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