@article{fdi:010077042,
  title = {{O}n the operational use of {UAV}s for video-derived bathymetry},
  author = {{B}ergsma, {E}. {W}. {J}. and {A}lmar, {R}afa{\¨e}l and de {A}lmeida, {L}. {P}. {M}. and {S}all, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ommercial {U}nmanned {A}real {V}ehicles ({UAV}) are taking a flight: it has never been more accessible to own an {UAV} and as easy to operate one, e.g. a drone. {F}or coastal monitoring these advances open a new world of monitoring such as inter-tidal beach topography through {S}tructure for {M}otion. {T}his paper aims to 1) show the potential of the {UAV}-based depth inversion with 2) limited georeferencing resources for rectification, comparing traditional field-based {GCP}s and fully remote standalone methods (few local {GCP}s and {G}oogle {E}arth derived {GCP}s) and a 3) novel automated error reduction inclusion for the breakpoint location. {U}nlike with shore-based cameras, image stabilisation is key airborne bathymetry estimation. {A}t places that are hard to reach it is not always possible to get ground control points. {W}e discuss the use of {G}oogle {E}arth to obtain ground control points. {I}n all video-derived bathymetries obtained in this work, great overestimation of the depth is found around wave breaking which is often linked to a phase shift in pixel intensity (dark wave front to white foam). {A} new method to overcome phase shift issues around breaking is presented that results in a significant error reduction of 58% around the break point.},
  keywords = {{UAV} ; {R}emote sensing ; {B}athymetry ; {N}earshore ; {SENEGAL} ; {SAINT} {LOUIS}},
  booktitle = {},
  journal = {{C}oastal {E}ngineering},
  volume = {152},
  numero = {},
  pages = {103527 [8 ]},
  ISSN = {0378-3839},
  year = {2019},
  DOI = {10.1016/j.coastaleng.2019.103527},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077042},
}