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ONGOING PROJECTS AS PI

machine-learning-and-mlops-hpe-ezmeral-s

DREAM STEP1 (2020-2022)

Deep leaRning approaches to Elucidate Abiotic-planktonic interactions and their cliMate induced variability

FATU-HIVA-BAIE-HANAVAVAE00-1-e1481566328

MOANA-MATY (2014-ONGOING)

the Marquesas biOlogicAl eNhAnceMent within the pAcific ocean: from the processes to the interannual variabiliTY,
(Moana matie means “ Green Ocean” in Polynesian)

Capture d’écran 2021-03-15 à 18.19.32.pn

THOT (2016-2021)

TaHitian Ocean Time-series

Research projects: Compétences

PAST PROJECTS

PHYTODEV (2016-2019)

"PHYTOplankton DEcadal Variability".  Funded by the CNES

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PhytoDEV was the initial phase of DREAMS. The machine learning methods were less complex.


Main researchers involved: C. Fontana UMR EIO; T. Gorgues UMR LOPS ; M. Lengaigne UMR LOCEAN.

DECPHY (2009-2011)

"DECadal variability of PHYtoplankton in the global ocean from remote sensing". Funded by ESA & CNES

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The objective of DECPHY was to reprocess the radiometric observations from the MERIS sensor to make them consistent with those from the CZCS and SeaWiFS sensors, and to study the decadal variability of phytoplankton in the ocean.


Researcher involved: D. Antoine UMR LOV

Research projects: Expérience
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