Analysis of Wildfire Danger Level Using Logistic Regression Model in Sichuan Province, China

Analysis of Wildfire Danger Level Using Logistic Regression Model in Sichuan Province, China

Sichuan Province preserves numerous rare and ancient species of plants and animals, making it an important bio-genetic repository in China and even the world. However, this region is also vulnerable to fire disturbance due to the rich forest resources, complex topography, and dry climate, and thus h...

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Bibliographic Details
Main Authors: Wanyu Peng, Yugui Wei, Guangsheng Chen, Guofan Lu, Qing Ye, Runping Ding, Peng Hu, Zhenyu Cheng
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Forests
Subjects:
wildfire danger
random forest
binary logistic regression
Sichuan Province
Online Access:https://www.mdpi.com/1999-4907/14/12/2352

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https://www.mdpi.com/1999-4907/14/12/2352

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