Impact of Non-Landslide Sample Sampling Strategies and Model Selection on Landslide Susceptibility Mapping

Impact of Non-Landslide Sample Sampling Strategies and Model Selection on Landslide Susceptibility Mapping

This study investigated the influence of non-landslide sampling strategies on landslide susceptibility assessment (LSA) performance and explored approaches to minimizing uncertainty in model selection. Five non-landslide sampling strategies were evaluated using the random forest (RF) model to genera...

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Bibliographic Details
Main Authors: Weijun Jiang, Ling Li, Ruiqing Niu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
landslide susceptibility
machine learning
modeling uncertainty
remote sensing
Online Access:https://www.mdpi.com/2076-3417/15/4/2132
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