Modelling the Vertical Distribution of Phytoplankton Biomass in the Mediterranean Sea from Satellite Data: A Neural Network Approach

Modelling the Vertical Distribution of Phytoplankton Biomass in the Mediterranean Sea from Satellite Data: A Neural Network Approach

Knowledge of the vertical structure of the bio-chemical properties of the ocean is crucial for the estimation of primary production, phytoplankton distribution, and biological modelling. The vertical profiles of chlorophyll-a (Chla) are available via in situ measurements that are usually quite rare...

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Bibliographic Details
Main Authors:	Michela Sammartino, Salvatore Marullo, Rosalia Santoleri, Michele Scardi
Format:	Article
Language:	English
Published:	MDPI AG 2018-10-01
Series:	Remote Sensing
Subjects:	ocean colour, SST, chlorophyll-a vertical profile, Mediterranean Sea, Artificial Neural Network, error-backpropagation
Online Access:	http://www.mdpi.com/2072-4292/10/10/1666

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