Machine learning and landslide studies: recent advances and applications
Natural Hazards, 2022 Upon the introduction of machine learning (ML) and its variants, in the form that we know today, to the landslide community, many studies have been carried out to explore the usefulness of ML in landslide research and to look at some classic landslide ...
F. S. Tehrani +4 more
semanticscholar +1 more source
Zhongguo dizhi zaihai yu fangzhi xuebao, 2023 Since the occurrence of landslide disasters is random and complex, which often causes serious economic losses to people's lives and even threatens life safety, establishing landslide early warning criteria and models is an important means to reduce ...
Yanqi BEN +5 more
doaj +1 more source
A simplified numerical model for evaluating sediment control by open-type sabo dams in the Joganji River basin [PDF]
E3S Web of Conferences, 2023 The present study proposes a method to estimate sediment runoff by introducing a dam function of the relationship between inflow sediment and sediment runoff through a slit dam.
Yamazaki Yusuke +9 more
doaj +1 more source
An approach for prospective forecasting of rock slope failure time
Communications Earth & Environment, 2023 Rock slope failures globally account for most single-event landslide disasters. Climatic changes in mountain areas boost failure activity and the demand for reliable failure time forecasts.
Johannes Leinauer +4 more
doaj +1 more source
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Remote Sensing, 2022 Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change.
Moziihrii Ado +6 more
semanticscholar +1 more source
A modified tank model including snowmelt and infiltration time lags for deep-seated landslides in alpine environments (Aggenalm, Germany) [PDF]
Natural Hazards and Earth System Sciences, 2017 Deep-seated landslides are an important and widespread natural hazard within alpine regions and can have significant impacts on infrastructure. Pore water pressure plays an important role in determining the stability of hydrologically triggered deep ...
W. Nie +4 more
doaj +1 more source
Study of debris flow peak discharge at Kamikamihorizawa Creek [PDF]
E3S Web of Conferences, 2023 Prediction of the peak discharge of debris flow is one of the most important factors in mitigating debris flow disasters. Currently, empirical methods based on the relationship between the peak discharge and total debris flow volume (magnitude) for many ...
Ikeda Akihiko +2 more
doaj +1 more source
An identification method of potential landslide zones using InSAR data and landslide susceptibility
Geomatics, Natural Hazards & Risk, 2023 Landslides are destructive to property, infrastructure and people in potential landslide zones. Identifying potential landslides is an important step in landslide preparedness and will help develop sustainable landslide risk management.
Yi He +7 more
semanticscholar +1 more source
Global fatal landslide occurrence from 2004 to 2016
Natural Hazards and Earth System Sciences, 2018 . Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human fatalities in urban settlements, along transport corridors and at sites of rural industry.
M. Froude, D. Petley
semanticscholar +1 more source
Landslide detection in the Himalayas using machine learning algorithms and U-Net
Landslides, 2022 Event-based landslide inventories are essential sources to broaden our understanding of the causal relationship between triggering events and the occurring landslides. Moreover, detailed inventories are crucial for the succeeding phases of landslide risk
S. Meena +7 more
semanticscholar +1 more source