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

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

doi:https://doi.org/10.5194/nhess-23-2937-2023

Articles | Volume 23, issue 9

https://doi.org/10.5194/nhess-23-2937-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The role of fire in the Earth system: understanding interactions...

https://doi.org/10.5194/nhess-23-2937-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 9

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

Supplement

https://doi.org/10.5194/nhess-23-2937-2023-supplement

Data sets

amarqueztorres/fire_risk_sicily: Fire Sicily A. Marquez Torres https://doi.org/10.5281/zenodo.7616451

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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.