Neural Algorithm for Ocean Colour (NAOC) project : demonstration with MERIS data

Feb 02, 2026

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The Neural Algorithm for Ocean Colour (NAOC) project, supported by the EU's 5th Framework Program, aims to enhance the analysis of multi-spectral ocean colour satellite observations. This initiative presents advanced algorithms for water components retrieval and atmospheric correction, which are essential for accurate ocean data interpretation. The project includes a demonstration that allows easy comparison with existing MERIS algorithms, facilitating improved understanding and utilization of ocean colour data for environmental monitoring.

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Neural Algorithm for Ocean Colour (NAOC) project : demonstration with MERIS data

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Neural Algorithm for Ocean Colour (NAOC) project : demonstration with MERIS data Antoine Mangin (ACRI), Michel Crépon (LODYC), Roland Doerffer (GKSS), Frank Fell (FUB), Thomas Schröder (FUB) Julien Demaria (ACRI), Antonio Mata (CICEM)
Context : NAOC / Neural Network Algorithm for Ocean Colour supported by EU project 5th FPObjective : To provide advanced algorithms for better exploiting the information from multi-spectral ocean colour satellite observations.. Classification. Water components retrieval. Atmospheric correction and characterisationOnce mature, algorithms are introduced into a demonstrator to allow easy comparison with present MERIS algorithms and inter-comparisons.Link with MERIS : AO1533
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