Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration Machine Learning Algorithm

Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration Machine Learning Algorithm

Previous wildfire risk assessments have problems such as subjectivity of weight allocation and the linearization of statistical models, resulting in generally low robustness and low generalization ability of fire risk assessment models. Therefore, in this paper, we explored the potential of integrat...

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Bibliographic Details
Main Authors: Lingxiao Xie, Rui Zhang, Junyu Zhan, Song Li, Age Shama, Runqing Zhan, Ting Wang, Jichao Lv, Xin Bao, Renzhe Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
frequency ratio
MCD64A1
Bayesian optimization
support vector machine
random forest
extreme gradient boosting
Online Access:https://www.mdpi.com/2072-4292/14/18/4592

Internet

https://www.mdpi.com/2072-4292/14/18/4592

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