@inproceedings{fdi:010072125, title = {{P}lanktonic diversity in the {S}enegalese upwelling system : what can we learn now from the the spatial observation ? [r{\'e}sum{\'e}]}, author = {{D}emarcq, {H}erv{\'e} and {F}aye, {S}. and {M}achu, {E}ric and {C}orrea, {K}.}, editor = {}, language = {{ENG}}, abstract = {{R}emote sensing techniques based on the measurement of the "{O}cean color" allow to estimate a proxy of the phytoplanktonic biomass through the estimation of "chlorophyll a" concentrations in surface waters with generic algorithms, now from almost two decades, in a near operational way. {A}lthough it incompletely describes the water column structure, this estimation is often used to estimate the marine primary production of a full ecosystem. {D}espite the fact that the precision of such measurements largely varies according to optical properties of the atmosphere and ocean (between 30% in oligotrophic clear water and much more in coastal waters), the optimal use of the "{O}cean color" can be used in a more qualitative way, to estimate other significant patterns. {T}he most promising is the statistical estimation of occurrences of {P}hytoplanktonic {F}unctional {T}ypes ({PFT}s) from the analysis of differences in the reflectance spectra of the sea water. {O}ther techniques, from the emergence of multi-spectral measurements, that allow a much more precise estimation of reflectance spectra from the sea surface, or the direct measurement of the natural fluorescence of the phytoplankton, related to the photosynthetic activity, are surprisingly extremely under-used. {M}oreover, most of these techniques are poorly related to in-situ measurements, a key point in their application to ecological studies. {W}e investigate some reasons of such a situation and propose some ways to improve it.}, keywords = {{SENEGAL} ; {ATLANTIQUE}}, numero = {}, pages = {78}, booktitle = {{I}nternational conference {ICAWA} 2016 : extended book of abstract : the {AWA} project : ecosystem approach to the management of fisheries and the marine environment in {W}est {A}frican waters}, year = {2017}, ISBN = {978-2-9553602-0-5}, URL = {https://www.documentation.ird.fr/hor/fdi:010072125}, }