High-Resolution NO₂, O₃, and PM_s Estimation in Puglia: Leveraging AI and Explainability Techniques

Air pollution remains a major environmental challenge, with severe impacts on human health and ecosystems. Recent advances in satellite technology have transformed air quality monitoring by enabling global, continuous observations of atmospheric pollutants. However, satellite data often lack the pre...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Alessandro Fania, Giovanni Lorusso, Roberto Cilli, Nicola Amoroso, Maria Adamo, Mariella Aquilino, Loredana Bellantuono, Marica De Lucia, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Angela Morabito, Alessandra Nocioni, Ester Pantaleo, Roberto Primerano, Sabina Tangaro, Roberto Bellotti, Alfonso Monaco
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2026-02-01
Σειρά:	Atmosphere
Θέματα:	air pollution remote sensing machine learning explainable artificial intelligence one health
Διαθέσιμο Online:	https://www.mdpi.com/2073-4433/17/2/209
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