Wattelez G. auteur aut IRD Dupouy Cécile auteur aut IRD Mangeas Morgan auteur aut IRD Lefèvre Jérôme auteur aut IRD Touraivane T. auteur aut IRD Frouin R. auteur aut IRD text bookSection eng text/pdf born digital access 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. specialized TELEDETECTION SPATIALE DONNEES SATELLITE ALGORITHME REFLECTANCE CHLOROPHYLLE LAGON COULEUR DE L'OCEAN OLIGOTROPHIE MODIS NOUVELLE CALEDONIE ZONE TROPICALE 126TELAPP05 Frouin R.J. ed. edt IRD Pan D. ed. edt IRD Murakami H. ed. edt IRD 9261 92611S 92611S/1-92611S/15 Bellingham WA SPIE 2014 SPIE Remote Sensing Conference, Pékin (CHN), 2014/10/13 92611S https://www.documentation.ird.fr/hor/fdi:010063838 10.1117/12.2086297 [F B010063838] https://www.documentation.ird.fr/hor/fdi:010063838 https://www.documentation.ird.fr/intranet/publi/depot/2015-07-23/010063838.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2015-07-02 2015-11-09 fdi:010063838 fre