AI Techniques for Near Real-Time Monitoring of Contaminants in Coastal Waters on Board Future <inline-formula><tex-math notation="LaTeX">$\Phi$</tex-math></inline-formula>sat-2 Mission

AI Techniques for Near Real-Time Monitoring of Contaminants in Coastal Waters on Board Future <inline-formula><tex-math notation="LaTeX">$\Phi$</tex-math></inline-formula>sat-2 Mission

Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sensing data, Artificial Intelligence techniques, and onboard processing. While conventional procedures present several draw...

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Bibliographic Details
Main Authors: Francesca Razzano, Pietro Di Stasio, Francesco Mauro, Gabriele Meoni, Marco Esposito, Gilda Schirinzi, Silvia Liberata Ullo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial intelligence (AI)
coastal water contaminants
earth observation
machine learning
onboard processing
remote sensing (RS)
Online Access:https://ieeexplore.ieee.org/document/10670116/
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https://ieeexplore.ieee.org/document/10670116/

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