CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space

CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space

Ocean color (OC) remote sensing at a Pan-Arctic scale, with over 27 years of continuous daily data, provides critical insights into long-term trends and seasonal variability in phytoplankton abundance, indexed by Chlorophyll-a concentration (Chl-a). However, existing satellite algorithms for retriev...

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Bibliographic Details
Main Authors: Maria Laura Zoffoli, Vittorio Brando, Gianluca Volpe, Luis González Vilas, Bede Ffinian Rowe Davies, Robert Frouin, Jaime Pitarch, Simon Oiry, Jing Tan, Simone Colella, Christian Marchese
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
Subjects:
Phytoplankton biomass
Pan-arctic scale
Ocean color
Satellite data
Time series
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017225000185
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http://www.sciencedirect.com/science/article/pii/S2666017225000185

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