@article{fdi:010081067,
  title = {{S}ea state from single optical images : a methodology to derive wind-generated ocean waves from cameras, drones and satellites [+ {C}orrection in: {R}emote {S}ensing, 2022, 14(13), 3120, 1 p.]},
  author = {{A}lmar, {R}afa{\¨e}l and {B}ergsma, {E}. {W}. {J}. and {C}atalan, {P}. {A}. and {C}ienfuegos, {R}. and {S}uarez, {L}. and {L}ucero, {F}. and {L}erma, {A}. {N}. and {D}esmazes, {F}. and {P}erugini, {E}. and {P}almsten, {M}. {L}. and {C}hickadel, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ea state is a key variable in ocean and coastal dynamics. {T}he sea state is either sparsely measured by wave buoys and satellites or modelled over large scales. {O}nly a few attempts have been devoted to sea state measurements covering a large domain; in particular its estimation from optical images. {W}ith optical technologies becoming omnipresent, optical images offer incomparable spatial resolution from diverse sensors such as shore-based cameras, airborne drones (unmanned aerial vehicles/{UAV}s), or satellites. {H}ere, we present a standalone methodology to derive the water surface elevation anomaly induced by wind-generated ocean waves from optical imagery. {T}he methodology was tested on drone and satellite images and compared against ground truth. {T}he 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. {O}verall, the presented methodology offers a practical way of estimating ocean waves for a wide range of applications.},
  keywords = {optical remote sensing ; waves ; camera ; drone ; satellite},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {4},
  pages = {679 [8 + correction in: {R}emote {S}ensing, 2022, 14(13), 3120, 1 p.]},
  year = {2021},
  DOI = {10.3390/rs13040679},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081067},
}