Co-seismic landslides susceptibility evaluation of Bayesian random forest considering InSAR deformation: a case study of the Luding Ms6.8 earthquake

Strong earthquakes can frequently trigger a large number of co-seismic landslides. Obtaining an accurate susceptibility map of co-seismic landslides is crucial for post-disaster rescue and reconstruction efforts. In this study, the pre-seismic average annual surface deformation rate of the study are...

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Autores principales:	Qiang Lin, Zhihua Zhang, Zhenghua Yang, Xinxiu Zhang, Xing Rong, Shuwen Yang, Yuan Hao, Xinyu Zhu, Wei Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2024-12-01
Colección:	Geomatics, Natural Hazards & Risk
Materias:	Co-seismic landslides SBAS-InSAR BO-RF susceptibility assessment machine learning
Acceso en línea:	https://www.tandfonline.com/doi/10.1080/19475705.2024.2383783
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