Earthquake-Induced Landslide Susceptibility Assessment Using a Novel Model Based on Gradient Boosting Machine Learning and Class Balancing Methods

Predicting the susceptibility of a specific part of a landslide (SSPL) involves predicting the likelihood that the part of the landslide (e.g., the entire landslide, the source area, or the scarp) will form in a given area. When predicting SSPL, the landslide samples are far less than the non-landsl...

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Auteurs principaux:	Shuhao Zhang, Yawei Wang, Guang Wu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-11-01
Collection:	Remote Sensing
Sujets:	susceptibility prediction various parts of landslides imbalanced machine learning class balancing method landslide feature extraction earthquake-induced landslides
Accès en ligne:	https://www.mdpi.com/2072-4292/14/23/5945
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