@article{fdi:010093443,
  title = {{SBI} : a sandbar extraction spectral index for multi-spectral satellite optical imagery - [{C}orrigendum]},
  author = {{F}rugier, {S}alome and {A}lmar, {R}afa{\¨e}l and {B}ergsma, {E}. and {G}ranjou, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}atellite imagery allows for large-scale monitoring of dynamic coastal processes, with shoreline tracking being the most widespread application. {N}earshore wave-generated sandbars influence coastal dynamics by acting as natural buffers that reduce beach erosion through wave energy dissipation and sediment exchange with the aerial beach. {D}espite their importance, they are often overlooked in satellite-based studies. {T}his paper addresses this oversight by introducing the {S}and{B}ar {I}ndex ({SBI}), a new methodology designed to optimize the detection of wave breaking pixels induced by the underlying sandbar while minimizing the {SBI} value pixels from the surrounding environment such as sand, land and water. {W}ave breaking pixels refer to image pixels where breaking waves generate foam, increasing reflectance in optical satellite imagery. {S}ince wave breaking typically occurs over submerged sandbars, these pixels act as proxies for their detection. {B}y integrating this index into an automated processing framework, long-term time series of sandbar positions are generated alongside shoreline positions. {T}o validate our methodology, {S}entinel-2 images are used to compare satellite-derived sandbar positions with in-situ bathymetric data from the {F}ield {R}esearch {F}acility ({FRF}) in {D}uck, {N}orth {C}arolina ({US}), over a period of nearly ten years. {V}alidation results show good agreement ({STD} = 23.2 m-i.e. 2 {S}entinel-2 pixels), demonstrating the ability of the method to capture the onshore and offshore migration of sandbars. {T}he flexibility of the {SBI} allows implementation on different satellite platforms, including {L}andsat and {VEN} mu {S}, demonstrating its transferability. {T}his application lays the groundwork for future studies using over 40 years of historical satellite data to further investigate long-term sandbar dynamics, but also high-frequency dynamics with the concomitantly increasing revisit and resolution of satellite missions. {T}he integration of multiple observable metrics from satellite data allows for a more nuanced characterization of the coastal system as a dynamic entity.},
  keywords = {{S}atellite-derived sandbar position ; {S}entinel-2 ; {S}andbar dynamic ; {NOM} ; {SBI} ({S}and{B}ar {I}ndex) ; {ETATS} {UNIS} ; {ATLANTIQUE} ; {CAROLINE} {DU} {NORD}},
  booktitle = {},
  journal = {{C}oastal {E}ngineering},
  volume = {200},
  numero = {},
  pages = {104752 [12 ] [+ {C}orrigendum, vol. 208, 2026, 105012 [1 p.]]},
  ISSN = {0378-3839},
  year = {2025},
  DOI = {10.1016/j.coastaleng.2025.104752},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093443},
}