A statistical algorithm for estimating chlorophyll concentration in the New Caledonian lagoon

Guillaume Wattelez 1, * Cecile Dupouy 2, 3 Morgan Mangeas 4 Jérôme Lefèvre 5 T. Touraivane 1 Robert Frouin 6
* Corresponding author
1 UNC - Université de la Nouvelle Calédonie
2 MIO - Institut méditerranéen d'océanologie
3 Institut de recherche pour le développement [IRD] : UMR235
4 UMR 228 Espace-Dev, Espace pour le développement
5 LEGOS NOUMEA - Laboratoire d'Etudes en Géophysique et Océanographie Spatiales
6 UC San Diego - University of California [San Diego]
Abstract : Spatial 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 New Caledonian lagoon from MODIS-derived " remote-sensing " reflectance (R rs). The algorithm is developed via supervised learning on match-ups gathered from 2002 to 2010. The 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 (OC3) for high [chl-a]. The log-linear model is developed based on SVM regression analysis. This approach outperforms the classical OC3 approach, especially in shallow waters, with a root mean squared error 30% lower. The 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 MODerate resolution Imaging Spectroradiometer (MODIS) ocean color remote sensing statistical algorithm oligotrophic waters New Caledonia coral lagoon
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Submitted on : Monday, January 11, 2016 - 5:58:40 AM
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Guillaume Wattelez, Cecile Dupouy, Morgan Mangeas, Jérôme Lefèvre, T. Touraivane, et al.. A statistical algorithm for estimating chlorophyll concentration in the New Caledonian lagoon. Remote Sensing, MDPI, 2016, 8 (1), pp.45-68. ⟨10.3390/rs8010045⟩. ⟨ird-01253540⟩

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