A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020

J Huang, X Wu, S Ling, X Li, Y Wu, L Peng… - … Science and Pollution …, 2022 - Springer
To assess the status of hotspots and research trends on geographic information system
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …

Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends

A Dong, J Dou, Y Fu, R Zhang, K Xing - Geocarto International, 2023 - Taylor & Francis
Landslide susceptibility mapping (LSM) research is vital for averting and mitigating regional
landslide disasters. Nevertheless, there has been a lack of systematic analysis regarding …

Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping

DH Min, HK Yoon - Scientific reports, 2021 - nature.com
Deterministic models have been widely applied in landslide risk assessment (LRA), but they
have limitations in obtaining various geotechnical and hydraulic properties. The objective of …

Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution

S Fiolleau, S Uhlemann, N Falco, B Dafflon - Geomorphology, 2023 - Elsevier
Landslides are a major natural hazard, threatening communities and infrastructure
worldwide. The mitigation of these hazards relies on the understanding of their causes and …

A GIS-based probabilistic analysis model for rainfall-induced shallow landslides in mountainous areas

C Li, C Guo, X Yang, H Li, J Zhou - Environmental Earth Sciences, 2022 - Springer
Landslides are serious natural disasters frequently occurring in the mountainous areas
along the Sichuan–Tibet railway. Landslides are often induced by rainfall and greatly …

A Scientometric analysis of predicting methods for identifying the environmental risks caused by landslides

Y Zou, C Zheng - Applied Sciences, 2022 - mdpi.com
The effects of a landslide can represent a very big problem, including the death of people,
damage to the land, environmental pollution and the loss of natural resources. Landslides …

Indicating landslide hazard from tree rings–Ecosystem service provided by an alder forest in the hengduan Mts, Sichuan, China

M Wistuba, I Malik, Y Tie, E Gorczyca, X Zhang… - Ecosystem Services, 2024 - Elsevier
Landslides are destructive geomorphological processes that cause economic and social
losses. This stimulates the development of new tools related to landslide hazard. Recently …

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

T Bornaetxea, I Marchesini, S Kumar… - … Hazards and Earth …, 2022 - nhess.copernicus.org
Landslide inventories are used for multiple purposes including landscape characterisation
and monitoring, and landslide susceptibility, hazard and risk evaluation. Their quality and …

Novel evaluation method based on critical arch height as instability criterion for sustaining arch locked-segment-type slopes

L Wang, H Jia, T Jiang, J Zhang, Y Jia, L Li, L Wan - Scientific Reports, 2024 - nature.com
In sustaining arch locked-segment-type slopes, natural soil arches play a key anti-sliding
role in the slope's evolution. In this study, a self-developed model test device was used to …

Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility mapping in Pengyang County, China

H Shang, S Liu, J Zhong, P Tsangaratos, I Ilia, W Chen… - Natural Hazards, 2024 - Springer
The purpose of this research is to apply and compare the performance of the three machine
learning algorithms-Naive Bayes (NB), kernel logistic regression (KLR), and alternation …