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Statistical–machine learning coupled models predicting landslide susceptibility in Liangshan Yi Autonomous Prefecture: performance comparison and factor explanations

Crossref DOI link: https://doi.org/10.1007/s10064-026-04917-z

Published Online: 2026-04-08

Published Print: 2026-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ning, Zhijie

Tie, Yongbo

Hou, heyi
Funding

Funding for this research was provided by:

Research on the Susceptibility Mechanisms and Risk Prevention of Major Geological Disasters in the Wumeng Mountain Area (202403AA080001)

Activity Prediction and Risk Identification of Large-Scale Plateau Debris Flows (XZ202401ZY0029)

Formation Mechanisms and Monitoring-Warning Methods for Moraine Soil Debris Flows in the Eastern Himalayan Syntaxis Region (XZ202401ZR0073)
License Information

Text and Data Mining valid from 2026-04-08

Version of Record valid from 2026-04-08
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Article History

Received: 15 March 2025

Accepted: 16 March 2026

First Online: 8 April 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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