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Neural network algorithm for ocean color (NAOC)

Objective

The aim of NAOC is to provide advanced algorithms for better exploiting the information contained in new multi spectral ocean colour satellite observations and to obtain a better estimation of bio-optical components of the ocean. Attention will be focused on atmospheric corrections and retrieval of marine constituents. We will use neural methodology, which are well suited to model highly non-linear phenomena and for inverting noisy empirical data sets. Validation will be done on already existing or concomitant in-site observations. NAOC innovation is to bring together scientists having a background in marine and atmospheric sciences and applied mathematicians. Scientists, managers, policy makers will benefit of NAOC. Thanks to the improvement of ocean colour data, they will be able to better assess the role of ocean productivity in the management of the planet Earth and to answer to the interrogation of people for the evolution of the ocean.

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

UNIVERSITE PIERRE ET MARIE CURIE - PARIS VI
Address
4,Place Jussieu 4
75252 Paris
France

Participants (6)

ACRI SA - MECANIQUE APPLIQUEE ET SCIENCES DE L'ENVIRONNEMENT
France
Address
260,Route Du Pin Montard 260
06904 Sophia Antipolis
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
France
Address
Quai De La Darse, Observatoire Océanologique
06238 Villefranche Sur Mer
FREIE UNIVERSITAET BERLIN
Germany
Address
Fabeckstrasse 69
14195 Berlin
GKSS - FORSCHUNGSZENTRUM GEESTHACHT GMBH
Germany
Address
Max-planck-strasse
21502 Geesthacht
JUNTA DE ANDALUCIA
Spain
Address
Ctra. Punta Umbria-cartaya S/n
21071 Huelva
UNIVERSITY OF ASTON
United Kingdom
Address
Aston Triangle
B4 7ET Birmingham