Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China

Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China

Planning the analyses of the spatial distribution and driving factors of forest fires and regionalizing fire risks is an important part of forest fire management. Based on the Landsat-8 active fire dataset of the Liangshan Yi Autonomous Prefecture from 2014 to 2021, this paper proposes an optimal pa...

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Bibliographic Details
Main Authors: Fuhuan Zhang, Bin Zhang, Jun Luo, Hui Liu, Qingchun Deng, Lei Wang, Ziquan Zuo
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Fire
Subjects:
forest fires
Landsat 8 active fires
forest fire factors
logistic regression
risk zoning
Online Access:https://www.mdpi.com/2571-6255/6/9/336

Internet

https://www.mdpi.com/2571-6255/6/9/336

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