@article{fdi:010083806,
  title = {{D}eriving bathymetries from unmanned aerial vehicles : a case study of a small intermittent reservoir},
  author = {{M}assuel, {S}ylvain and {F}eurer, {D}enis and {E}l {M}aaoui, {M}. {A}. and {C}alvez, {R}oger},
  editor = {},
  language = {{ENG}},
  abstract = {{S}mall reservoirs have traditionally been used worldwide to store surface water, but they are complex to manage. {A}ccounting for a water resource scattered across thousands of water bodies remains challenging. {I}mages acquired using unmanned aerial vehicles ({UAV}s), which are already used in different ways in hydrology, could provide additional support. {W}e evaluated the use of {UAV}s as an alternative way to derive bathymetric data from the topography of a small reservoir. {D}igital elevation models ({DEM}s, 58) were produced from {UAV} imagery and in-situ differential global positioning system ({DGPS}) points using standard structure from motion ({S}f{M}) and interpolation methods. {I}mage processing was able to produce {DEM}s with 10 times the vertical accuracy of {DGPS}-point interpolation methods for similar accuracy in determining the relationships between the water height, surface area, and reservoir volume. {T}hese results suggest that the {S}f{M} photogrammetry can be used to derive bathymetry data from {UAV} images.},
  keywords = {small reservoir ; bathymetry ; {UAV} ; structure from motion ; {T}unisia ; {TUNISIE}},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal = {J}ournal des {S}ciences {H}ydrologiques},
  volume = {67},
  numero = {1},
  pages = {82--93},
  ISSN = {0262-6667},
  year = {2022},
  DOI = {10.1080/02626667.2021.1988614},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083806},
}