@article{fdi:010088675,
  title = {{A} review of ocean color algorithms to detect trichodesmium oceanic blooms and quantify chlorophyll concentration in shallow coral lagoons of {S}outh {P}acific archipelagos},
  author = {{D}upouy, {C}{\'e}cile and {W}hiteside, {A}. and {T}an, {J}. and {W}attelez, {G}. and {M}urakami, {H}. and {A}ndr{\'e}oli, {R}. and {L}ef{\`e}vre, {J}{\'e}r{\^o}me and {R}{\¨o}ttgers, {R}. and {S}ingh, {A}. and {F}rouin, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he oceanic waters of the {S}outhwest {T}ropical {P}acific occupy a vast region including multiple {P}acific {I}sland {C}ountries. {T}he state of these waters is determinant for fisheries and the blue economy. {O}cean color remote sensing is the main tool to survey the variability and long-term evolution of these large areas that are important for economic development but are affected by climate change. {U}nlike vast oligotrophic gyres, tropical waters are characterized by numerous archipelagos and islands, with deep and shallow lagoons subjected to the large impacts of the land. {S}trikingly large dendritic phytoplankton ({T}richodesmium) blooms with high levels of chlorophyll, developing within archipelagos, as well as coastal enrichments from various origins may be observed. {A}lgorithms to detect the presence of {T}richodesmium have been developed or adapted, as well as algorithms to estimate the chlorophyll concentration ([{C}hl-a)]. {A}dapting existing [{C}hl-a] algorithms does not always yield high, i.e., sufficient, accuracy. {A} review of published regional bio-optical algorithms developed taking into account the specific phytoplankton composition and minimizing the adverse impacts of particles and the seabed bottom on [{C}hl-a] determination is presented, as well the bio-optical database that allowed their development. {T}he interest of such algorithms for a variety of applications and scientific accomplishments is highlighted, with a view to further addressing the main biology and biogeochemistry questions, e.g., to determine the true impact of diazotrophs and assess lagoon [{C}hl-a] variability with the highest confidence. {T}his work anticipates the use of future coarse and high-spatial-resolution and multi- and hyper-spectral satellite imagery in the {P}acific.},
  keywords = {chlorophyll-a concentration ; ocean color ; {T}richodesmium blooms ; bathymetry ; water column attenuation correction ; {MODIS} ; {MERIS} ; {S}entinel 2 ; remote sensing ; reflectance ; algorithms ; inversion method ; seabed ; mapping ; clustering ; support vector machine ; {N}ew {C}aledonia ; {F}iji ; {I}slands ; {S}outhwestern {T}ropical {P}acific ; {PACIFIQUE} ; {NOUVELLE} {CALEDONIE} ; {FIDJI} ; {VANUATU} ; {SALOMON} {ILES} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {15},
  numero = {21},
  pages = {5194 [22 p.]},
  year = {2023},
  DOI = {10.3390/rs15215194},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088675},
}