Improved Prediction of Forest Fire Risk in Central and Northern China by a Time-Decaying Precipitation Model

Improved Prediction of Forest Fire Risk in Central and Northern China by a Time-Decaying Precipitation Model

With the increase in extreme climate events, forest fires burn in much larger areas. Therefore, it is important to accurately predict forest fire frequencies. Precipitation is an important factor that affects the probability of future forest fires. Previous models used average precipitation values,...

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Bibliographic Details
Main Authors: Jiajun Chen, Xiaoqing Wang, Ying Yu, Xinzhe Yuan, Xiangyin Quan, Haifeng Huang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Forests
Subjects:
time-decaying model
forest fire warning model
SVM regression model
moderate-resolution imaging spectroradiometer (MODIS)
Online Access:https://www.mdpi.com/1999-4907/13/3/480

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https://www.mdpi.com/1999-4907/13/3/480

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