A statistical algorithm for estimating chlorophyll concentration from MODIS data Ocean remote sensing and monitoring from space Wattelez, G. /Dupouy, Cécile /Mangeas, Morgan Lefèvre, Jérôme Touraivane, T. Frouin, R. TELEDETECTION SPATIALE DONNEES SATELLITE ALGORITHME REFLECTANCE CHLOROPHYLLE LAGON COULEUR DE L'OCEAN OLIGOTROPHIE MODIS We propose a statistical algorithm to assess chlorophyll-a concentration ([chl-a]) using remote sensing reflectance (Rrs) derived from MODerate Resolution Imaging Spectroradiometer (MODIS) data. This algorithm is a combination of two models: one for low [chl-a] (oligotrophic waters) and one for high [chl-a]. A satellite pixel is classified as low or high [chla] according to the Rrs ratio (488 and 555 nm channels). If a pixel is considered as a low [chl-a] pixel, a log-linear model is applied; otherwise, a more sophisticated model (Support Vector Machine) is applied. The log-linear model was developed thanks to supervised learning on Rrs and [chl-a] data from SeaBASS and more than 15 campaigns accomplished from 2002 to 2010 around New Caledonia. Several models to assess high [chl-a] were also tested with statistical methods. This novel approach outperforms the standard reflectance ratio approach. Compared with algorithms such as the current NASA OC3, Root Mean Square Error is 30% lower in New Caledonian waters. SPIE Frouin, R.J. (ed.) Pan, D. (ed.) Murakami, H. (ed.) 2014 text https://www.documentation.ird.fr/hor/fdi:010063838 fdi:010063838 Wattelez G., Dupouy Cécile, Mangeas Morgan, Lefèvre Jérôme, Touraivane T., Frouin R.. A statistical algorithm for estimating chlorophyll concentration from MODIS data. In : Frouin R.J. (ed.), Pan D. (ed.), Murakami H. (ed.), . Ocean remote sensing and monitoring from space SPIE, ; 92611S). 2014, 9261 (92611S), 92611S/1-92611S/15 SPIE Remote Sensing Conference, Pékin (CHN), 2014/10/13 EN NOUVELLE CALEDONIE ZONE TROPICALE