Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas

Abstract The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant challenges to the protection of urban areas worldwide. While traditional monitoring approaches based on a single-source satellite sensor have prov...

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Hlavní autoři:	Raffaele Lafortezza, Francesco Giordano, Domenico Capolongo, Alberto Refice, Francesco P. Lovergine, Mario Elia, Davide D’Alò, Nicola Amoroso, Raffaele Nutricato, Marina Zingaro, Alessandro Parisi, Giacomo Caporusso, Floriana Rizzo, Alessandra Costantino, Alessandro Ursi, Patrizia Sacco, Maria Virelli, Deodato Tapete
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-05-01
Edice:	Scientific Reports
Témata:	Multi-hazard monitoring Susceptibility mapping XAI Flood Land displacement Sediment connectivity
On-line přístup:	https://doi.org/10.1038/s41598-026-52139-w
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