@article{fdi:010066220,
  title = {{A} statistical algorithm for estimating chlorophyll concentration in the {N}ew {C}aledonian lagoon},
  author = {{W}attelez, {G}. and {D}upouy, {C}{\'e}cile and {M}angeas, {M}organ and {L}efevre, {J}{\'e}r{\^o}me and {T}ouraivane, and {F}rouin, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patial and temporal dynamics of phytoplankton biomass and water turbidity can provide crucial information about the function, health and vulnerability of lagoon ecosystems (coral reefs, sea grasses, etc.). {A} statistical algorithm is proposed to estimate chlorophyll-a concentration ([chl-a]) in optically complex waters of the {N}ew {C}aledonian lagoon from {MODIS}-derived remote-sensing reflectance ({R}-rs). {T}he algorithm is developed via supervised learning on match-ups gathered from 2002 to 2010. {T}he best performance is obtained by combining two models, selected according to the ratio of {R}-rs in spectral bands centered on 488 and 555 nm: a log-linear model for low [chl-a] ({AFLC}) and a support vector machine ({SVM}) model or a classic model ({OC}3) for high [chl-a]. {T}he log-linear model is developed based on {SVM} regression analysis. {T}his approach outperforms the classical {OC}3 approach, especially in shallow waters, with a root mean squared error 30% lower. {T}he proposed algorithm enables more accurate assessments of [chl-a] and its variability in this typical oligo- to meso-trophic tropical lagoon, from shallow coastal waters and nearby reefs to deeper waters and in the open ocean.},
  keywords = {chlorophyll-a concentration ; {MOD}erate resolution {I}maging ; {S}pectroradiometer ({MODIS}) ; ocean color ; remote sensing ; statistical ; algorithm ; oligotrophic waters ; {N}ew {C}aledonia ; coral lagoon ; {NOUVELLE} {CALEDONIE} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {8},
  numero = {1},
  pages = {art. 45 [23 p.]},
  ISSN = {2072-4292},
  year = {2016},
  DOI = {10.3390/rs8010045},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066220},
}