Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals

Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals

A relevant indicator for the eutrophication status in the Baltic Sea is the Chlorophyll-a concentration (<i>Chl-a</i>). Alas, ocean color remote sensing applications to estimate <i>Chl-a</i> in this brackish basin, characterized by large gradients in salinity and dissolved or...

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Bibliographic Details
Main Authors: Vittorio E. Brando, Michela Sammartino, Simone Colella, Marco Bracaglia, Annalisa Di Cicco, Davide D’Alimonte, Tamito Kajiyama, Seppo Kaitala, Jenni Attila
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
ocean color
regional algorithms
multilayer perceptron neural net
ensemble approach
phytoplankton phenology
optically complex waters
Online Access:https://www.mdpi.com/2072-4292/13/16/3071

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