<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Erwin W. J. Bergsma</dc:contributor>
  <dc:contributor>Patrico A. Catalan</dc:contributor>
  <dc:contributor>Rodrigo Cienfuegos</dc:contributor>
  <dc:contributor>Leandro Suarez</dc:contributor>
  <dc:contributor>Felipe Lucero</dc:contributor>
  <dc:contributor>Alexandre Nicolae Lerma</dc:contributor>
  <dc:contributor>Franck Desmazes</dc:contributor>
  <dc:contributor>Eleonora Perugini</dc:contributor>
  <dc:contributor>Margaret L. Palmsten</dc:contributor>
  <dc:contributor>Chris Chickadel</dc:contributor>
  <dc:creator>Rafael Almar</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>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.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3390/rs13040679</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>MDPI</dc:publisher>
  <dc:title>Sea state from single optical images: A methodology to derive wind-generated ocean waves from cameras, drones and satellites</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>