Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

Abstract Forest fires have caused considerable losses to ecologies, societies, and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest fire prevention and management. In recent ye...

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Bibliographic Details
Main Authors: Guoli Zhang, Ming Wang, Kai Liu
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:International Journal of Disaster Risk Science
Subjects:
China
Convolutional neural network
Forest fire susceptibility
Geographic information system
Machine learning
Online Access:http://link.springer.com/article/10.1007/s13753-019-00233-1

Internet

http://link.springer.com/article/10.1007/s13753-019-00233-1

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