no code implementations • 30 Apr 2024 • Francesca Razzano, Pietro Di Stasio, Francesco Mauro, Gabriele Meoni, Marco Esposito, Gilda Schirinzi, Silvia L. Ullo
Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sensing (RS) data, Artificial Intelligence (AI) techniques, and onboard processing.
no code implementations • 29 Mar 2024 • Wenyu Yang, Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi
Tropical forests are a key component of the global carbon cycle.
no code implementations • 8 Jan 2024 • Francesca Razzano, Francesco Mauro, Pietro Di Stasio, Gabriele Meoni, Marco Esposito, Gilda Schirinzi, Silvia Liberata Ullo
For this, our study pioneers a novel approach to monitor the Turbidity contaminant, integrating CatBoost Machine Learning (ML) with high-resolution data from Sentinel-2 Level-2A.