Modeling Forest Fire Spread Using Machine Learning-Based Cellular Automata in a GIS Environment

Modeling Forest Fire Spread Using Machine Learning-Based Cellular Automata in a GIS Environment

The quantitative simulation of forest fire spread is of great significance for designing rapid risk management approaches and implementing effective fire fighting strategies. A cellular automaton (CA) is well suited to the dynamic simulation of the spatiotemporal evolution of complex systems, and it...

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Bibliographic Details
Main Authors:	Yiqing Xu, Dianjing Li, Hao Ma, Rong Lin, Fuquan Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Forests
Subjects:	cellular automaton (CA) machine learning forest fire simulating least squares support vector machines (LSSVM) three-dimensional
Online Access:	https://www.mdpi.com/1999-4907/13/12/1974

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