@article{fdi:010073130,
  title = {{V}ideo-based depth inversion techniques, a method comparison with synthetic cases},
  author = {{B}ergsma, {E}. {W}. {J}. and {A}lmar, {R}afa{\¨e}l},
  editor = {},
  language = {{ENG}},
  abstract = {{A}pplications of (video-based) depth inversion in the near-shore coastal environment are growing in numbers. {V}ideo-based capabilities in nearshore monitoring are improving and coastal monitoring programs are expanding due to greater availability and reduced costs. {V}ideo-derived beach (state) indicators such as beach width, bar position and wave and current parameters are supplemented by accurate depth estimations through inversion. {V}ideo-based depth inversion knows two main approaches, a spectral and temporal method of celerity estimation. {T}he two methods have so far never been compared as video-systems are often tailored for the chosen celerity estimation method. {H}ere, a spectral and temporal method are compared using controlled synthetic datasets obtained using the {SERRE}1{D} {B}oussinesq model to estimate celerity and invert depth. {T}he assessment is carried out on a set of wave boundary conditions with over linear and barred bottom profile. {B}oth methods invert depth with a similar accuracy for the most realistic {JONSWAP} cases. {A}n evident correlation is found between wave skewness, non-linearity and depth estimation error linked to the limits of the linear dispersion relation. {A} residual 'sensing' error is linked to method-based parameters and a changing wave shape as incident waves propagate inshore. {T}he inversion-error can be reduced significantly including a wave height dependent non-linear correction. {I}mportantly, a method-based error is introduced for the temporal method to increase the suitability for data assimilation. {L}ikewise, the spectral method has its own existing depth-error estimation to feed into the {K}alman {F}ilter. {H}owever, these method-based error estimates show very weakly or no relation to the observed error between estimated cross-shore profile and bottom profile used for the model input.},
  keywords = {{N}ear shore ; {V}ideo imagery ; {L}inear dispersion relation ; {D}epth inversion ; {S}pectral ; {T}emporal},
  booktitle = {},
  journal = {{C}oastal {E}ngineering},
  volume = {138},
  numero = {},
  pages = {199--209},
  ISSN = {0378-3839},
  year = {2018},
  DOI = {10.1016/j.coastaleng.2018.04.025},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073130},
}