A study on forest fire risk assessment in jiangxi province based on machine learning and geostatistics

A study on forest fire risk assessment in jiangxi province based on machine learning and geostatistics

Jiangxi Province, characterized by abundant forest resources and complex topography, is highly susceptible to forest fires. This study integrated multiple factors, including topography, climate, vegetation, and human activities, and employed machine learning models, specifically random forest (RF),...

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Bibliographic Details
Main Authors: Jinping Lu, Mangen Li, Yaozu Qin, Niannan Chen, Lili Wang, Wanzhen Yang, Yuke Song, Yisu Zheng
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Communications
Subjects:
forest fire
MODIS
weight of evidence
machine learning
Online Access:https://doi.org/10.1088/2515-7620/ad9cf2
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