Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions

Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions

Landslides are pervasive geological hazards that pose significant risks to human life, property, and the environment. Understanding landslide susceptibility is crucial for predicting and mitigating these disasters. This article advocates for a comprehensive review by systematically compiling and ana...

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Bibliographic Details
Main Authors: Zongyue Lu, Genyuan Liu, Zhihong Song, Kang Sun, Ming Li, Yansi Chen, Xidong Zhao, Wei Zhang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
machine learning
landslide
susceptibility assessment
model interpretability
spatial heterogeneity
Online Access:https://www.mdpi.com/2076-3417/14/21/9639
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