@article{fdi:010085272,
  title = {{T}he new era of regional coastal bathymetry from space : a showcase for {W}est {A}frica using optical {S}entinel-2 imagery},
  author = {{D}aly, {C}hristopher and {B}aba, {W}. and {B}ergsma, {E}. and {T}houmyre, {G}r{\'e}goire and {A}lmar, {R}afa{\¨e}l and {G}arlan, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{L}arge-scale coastal bathymetry is paramount to understand natural and human-induced coastal behaviour and plays a vital role in coastal research and governance. {H}ere, we use a recently developed algorithm, {S}2{S}hores ({S}atellite to {S}hores), to invert coastal bathymetry from wave kinematics, based on the linear dispersion relation. {W}ave numbers and celerity are extracted from optical {S}entinel-2 imagery, by exploiting the small temporal offset between the image bands of its {M}ulti-{S}pectral {I}nstrument. {I}nverted depths are output at 200 m resolution, and individual depth points are merged to create a composite bathymetry using a weighted average of images from 10 different dates. {T}he resulting bathymetry mosaic spans 4000 km along the {W}est {A}frican coast. {S}2{S}hores is able to detect depths up to 35 m, depending on mean incident wave conditions and cloud cover, which varies by location. {U}nderwater features are well reproduced by {S}2{S}hores, such as flow channels in {G}uinea, the {S}t. {A}nn's {S}hoal in {S}ierra {L}eone, and ebb delta lobes at several outlets along the {N}iger {R}iver {D}elta. {S}2{S}hores results match well (r2 = 0.76, {RMSE} = 4.9 m) with a bathymetry survey along the {S}enegalese coast. {A}s a difference with traditional satellite-derived bathymetry methods based on water colour, a wave-based approach allows estimations in turbid areas and relatively deep waters, which suggest that the two approaches are complementary and should be used in combination to cover coastal environments in their diversity. {T}he new possibility offered by this regional coastal atlas opens the door to increased research and planning capabilities and sets an example that can be applied to the rest of the world.},
  keywords = {{O}ptical imagery ; {W}aves ; {W}est {A}frica ; {U}nderwater features ; {S}atellite-derived bathymetry ; {AFRIQUE} {DE} {L}'{OUEST} ; {GOLFE} {DE} {GUINEE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {278},
  numero = {},
  pages = {113084 [14 p.]},
  ISSN = {0034-4257},
  year = {2022},
  DOI = {10.1016/j.rse.2022.113084},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085272},
}