Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-2937-2023
https://doi.org/10.5194/nhess-23-2937-2023
Research article
 | 
06 Sep 2023
Research article |  | 06 Sep 2023

Fire risk modeling: an integrated and data-driven approach applied to Sicily

Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi

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Latest update: 17 Jul 2024
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Short summary
Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
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