Regional algorithms for European seas: A case study based on MERIS data
2012 | 2013 | 2011
KAJIYAMA Tamito | D'ALIMONTE Davide | ZIBORDI Giuseppe
Advances in satellite ocean color technologies and methodologies are expected to lead to the generation of coastal water bio-optical products with accuracies close to those targeted in oceanic regions. In view of contributing to such a progress, Multi Layer Perceptron (MLP) neural networks complying with standard MERIS pigment indices were developed relying on regional highly accurate in-situ data. This work illustrates and discusses the application to sample MERIS imagery of those neural networks trained to produce pigments indices in seas characterized by increased levels of bio-optical complexity: the Baltic, the northern Adriatic and the Western Black Seas.
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