Title: Regional algorithms for European seas: A case study based on MERIS data
Authors: KAJIYAMA TamitoD'ALIMONTE DavideZIBORDI Giuseppe
Citation: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS vol. 10 no. 2 p. 283-287
Publication Year: 2013
JRC N°: JRC68314
ISSN: 1545-598X
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6236000
DOI: 10.1109/LGRS.2012.2202370
Type: Articles in periodicals and books
Abstract: 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.
JRC Directorate:Sustainable Resources

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