Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position

Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position

The accuracy of landslide susceptibility prediction (LSP) mainly depends on the precision of the landslide spatial position. However, the spatial position error of landslide survey is inevitable, resulting in considerable uncertainties in LSP modeling. To overcome this drawback, this study explores...

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Bibliographic Details
Main Authors: Faming Huang, Ronghui Li, Filippo Catani, Xiaoting Zhou, Ziqiang Zeng, Jinsong Huang
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Landslide susceptibility prediction
Random landslide position errors
Uncertainty analysis
Multi-layer perceptron
Random forest
Semi-supervised machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775524000714

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http://www.sciencedirect.com/science/article/pii/S1674775524000714

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