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Type: Journal Article
Author(s): Giorgio Meschi; Andrea Trucchia; Guido Biondi; Paolo Fiorucci
Publication Date: 2022

Susceptibility maps constitute a useful tool for wildfire management. They identify propensity for wildfire occurrence based on the intrinsic characteristics of the terrain.

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Citation: Meschi, Giorgio; Trucchia, Andrea; Biondi, Guido; Fiorucci, Paolo. 2022. Using crossborder multisource burned area datasets for assessing wildfire susceptibility using machine learning techniques. Environmental Sciences Proceedings 17(1):33.

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Keywords:
  • area burned
  • fire probability
  • fire susceptibility
  • France
  • Italy
  • machine learning
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 66984