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Remote sensing represent a powerful tool to estimate chla concentrations and to predict primary production in coastal waters. However, in order to use this tool efficiently in such variable ecosystems we need to increase our knowledge concerning bio-optical properties, phytoplankton community and photosynthetic parameters variability in order to develop adapted regional algorithms. Spatial and temporal variations of these key parameters were investigated during spring 2000 in the English Channel across five mesoscale cruises (BIOPTEL) realised between February and October 2000. From this in situ data set (phytoplankton pigments obtained by HPLC, nutrients concentration, phytoplankton productivity estimated by variable fluorescence technique (Phyto-Pam), yellow substance absorption, particulate matter absorption), we assessed the scales of variation of primary production model inputs in the several …