Please use this identifier to cite or link to this item:
|Title:||Regional algorithms for European seas: A case study based on MERIS data|
|Authors:||KAJIYAMA Tamito; D'ALIMONTE Davide; ZIBORDI Giuseppe|
|Citation:||IEEE GEOSCIENCE AND REMOTE SENSING LETTERS vol. 10 no. 2 p. 283-287|
|Publisher:||IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC|
|JRC Publication N°:||JRC68314|
|Type:||Articles in Journals|
|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 Institute:||Institute for Environment and Sustainability|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.