A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility

The accuracy of data-driven landslide susceptibility prediction depends heavily on the quality of non-landslide samples and the selection of machine-learning algorithms. Current methods rely on artificial prior knowledge to obtain negative samples from landslide-free regions or outside the landslide...

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Principais autores:	Yongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-10-01
coleção:	Remote Sensing
Assuntos:	landslide susceptibility prediction optimised sampling stacking ensemble machine-learning algorithm reliability of non-landslide samples
Acesso em linha:	https://www.mdpi.com/2072-4292/16/19/3663
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