@article{fdi:010087480,
  title = {{A} new {S}argassum drift model derived from features tracking in {MODIS} images},
  author = {{P}odlejski, {W}. and {N}erini, {D}. and {D}oglioli, {A}. and {L}ett, {C}hristophe},
  editor = {},
  language = {{ENG}},
  abstract = {{M}assive {S}argassum stranding events affect erratically numerous countries from the {G}ulf of {G}uinea to the {G}ulf of {M}exico. {F}orecasting transport and stranding of {S}argassum aggregates require progress in detection and drift modelling. {H}ere we evaluate the role of currents and wind, i.e. windage, on {S}argassum drift. {S}argassum drift is computed from automatic tracking using {MODIS} 1 km {S}argassum detection dataset, and compared to reference surface current and wind estimates from collocated drifters and altimetric products. {F}irst, we confirm the strong total wind effect of approximate to 3 % (approximate to 2 % of pure windage), but also show the existence of a deflection angle of approximate to 10 degrees between {S}argassum drift and wind directions. {S}econd, our results suggest reducing the role of currents on drift to 80 % of its velocity, likely because of {S}argassum resistance to flow. {T}hese results should significantly improve our understanding of the drivers of {S}argassum dynamics and the forecast of stranding events.},
  keywords = {{S}argassum algae ; {C}omputer vision ; {R}egression ; {T}racking ; {R}emote sensing ; {D}rift ; {C}ollocation ; {D}rifter ; {T}ropical {N}orth {A}tlantic ; {T}ime series ; {ATLANTIQUE} {NORD} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{M}arine {P}ollution {B}ulletin},
  volume = {188},
  numero = {},
  pages = {114629 [9 p.]},
  ISSN = {0025-326{X}},
  year = {2023},
  DOI = {10.1016/j.marpolbul.2023.114629},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087480},
}