@article{fdi:010076666,
  title = {{W}ave-derived coastal bathymetry from satellite video imagery : a showcase with {P}leiades persistent mode},
  author = {{A}lmar, {R}afa{\¨e}l and {B}ergsma, {E}. {W}. {J}. and {M}aisongrande, {P}. and de {A}lmeida, {L}. {P}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his article shows the capacity do derive depth using the sub metric {P}leiades satellite mission ({A}irbus/{CNES}) in persistent mode, which allows acquiring a sequence of images (12 images) at a regional scale (similar to 100 km(2)). {T}o derive depths, a spatiotemporal cross-correlation method for estimating wave velocity and inverse bathymetry is presented and applied to the 12-image sequence. {A} good agreement is found with in-situ bathymetry measurements obtained during the {COMBI} 2017 {C}apbreton experiment (correlation of 0.8, {RMSE} = 1.4 m). {D}epth estimate saturation is found for depths > 35 m, mainly in a deep canyon just off the coast located in front of the entrance to {C}apbreton harbour. {T}he image sequence is used to study the sensitivity of the number of images. {T}he results show that the accuracy increases with the number of images in the sequence and with a fine resolution. {D}espite their noisy nature, newly available time-updated satellite bathymetries can be used to understand coastal evolution at several scales and improve risk mitigation strategies through modelling.},
  keywords = {{S}atellite ; {R}emote {S}ensing ; {B}athymetry ; {C}ross-correlation ; {W}aves},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {231},
  numero = {},
  pages = {art. 111263 [8 p.]},
  ISSN = {0034-4257},
  year = {2019},
  DOI = {10.1016/j.rse.2019.111263},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076666},
}