Emanuele Organelli

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Citation: Bracher A, Bouman HA, Brewin RJW, Bricaud A, Brotas V, Ciotti AM, Clementson L, Devred E, Di Cicco A, Dutkiewicz S, Hardman-Mountford NJ, Hickman AE, Hieronymi M, Hirata T, Losa SN, Mouw CB, Organelli E, Raitsos DE, Uitz J, Vogt M and Wolanin A (2017) Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development.(More)
Models based on the multivariate partial least squares (PLS) regression technique are developed for the retrieval of phytoplankton size structure from measured light absorption spectra (BOUSSOLE site, northwestern Mediterranean Sea). PLS-models trained with data from the Mediterranean Sea showed good accuracy in retrieving, over the nine-year BOUSSOLE time(More)
Over the past decade, techniques have been presented to derive the community structure of phytoplankton at synoptic scales using satellite ocean-color data. There is a growing demand from the ecosystem modeling community to use these products for model evaluation and data assimilation. Yet, from the perspective of an ecosystem modeler these products are of(More)
According to recommendations of the international community of phytoplankton functional type algorithm developers, a set of experiments on marine algal cultures was conducted to (1) investigate uncertainties and limits in phytoplankton group discrimination from hyperspectral light absorption properties of assemblages with mixed taxonomic composition, and(More)
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