Considering the effect of non-landslide sample selection on landslide susceptibility assessment

Crafting landslide susceptibility mapping is pivotal for the effective management of landslide risks. However, the influence of non-landslide sample selection on the modeling performance of landslide susceptibility assessment models remains a crucial challenge to overcome. This article employs Huize...

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Bibliografische Detailangaben

Hauptverfasser:	Youchen Zhu, Deliang Sun, Haijia Wen, Qiang Zhang, Qin Ji, Changming Li, Pinggen Zhou, Jianjun Zhao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Taylor & Francis Group 2024-12-01
Schriftenreihe:	Geomatics, Natural Hazards & Risk
Schlagworte:	Non-landslide sample selection analytic hierarchy process machine learning landslide susceptibility assessment SHAP
Online-Zugang:	https://www.tandfonline.com/doi/10.1080/19475705.2024.2392778
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