A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy

A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy

Wildfire susceptibility maps display the spatial probability of an area to burn in the future, based solely on the intrinsic local proprieties of a site. Current studies in this field often rely on statistical models, often improved by expert knowledge for data retrieving and processing. In the last...

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Bibliographic Details
Main Authors: Marj Tonini, Mirko D’Andrea, Guido Biondi, Silvia Degli Esposti, Andrea Trucchia, Paolo Fiorucci
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Geosciences
Subjects:
wildfires
susceptibility mapping
machine learning
random forest
spatial-cross validation
Online Access:https://www.mdpi.com/2076-3263/10/3/105

Internet

https://www.mdpi.com/2076-3263/10/3/105

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