Geomatics, Natural Hazards & Risk, 2023 Landslide susceptibility mapping is crucial in mitigating the risk of regional landslide hazards. The main objectives of this study are to design and analyze the impact of three non-landslide data generation methods on landslide susceptibility mapping ...
Hongqiang Dou +4 more
doaj +4 more sources
An objective absence data sampling method for landslide susceptibility mapping [PDF]
Scientific Reports, 2023 The accuracy and quality of the landslide susceptibility map depend on the available landslide locations and the sampling strategy for absence data (non-landslide locations).
Yasin Wahid Rabby +2 more
doaj +3 more sources
Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping [PDF]
Scientific ReportsThis study aims to explore the effects of different non-landslide sampling strategies on machine learning models in landslide susceptibility mapping. Non-landslide samples are inherently uncertain, and the selection of non-landslide samples may suffer ...
Tengfei Gu +4 more
doaj +3 more sources
Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology [PDF]
Sensors, 2019 Geological conditions along the Karakorum Highway (KKH) promote the occurrence of frequent natural disasters, which pose a serious threat to its normal operation.
Fumeng Zhao +5 more
doaj +4 more sources
A review on landslide susceptibility mapping research in Bangladesh [PDF]
Heliyon, 2023 Landslide susceptibility mapping is a common practice for landslide susceptibility assessment across the world. Like many other mountainous areas of the world, Bangladesh is facing frequent catastrophic landslides causing severe damage to the economy and
Md. Sharafat Chowdhury
doaj +2 more sources
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh. [PDF]
Heliyon, 2023 The frequency of landslides and related economic and environmental damage has increased in recent decades across the hilly areas of the world, no exception is Bangladesh. Considering the first step in landslide disaster management, different methods have
Chowdhury MS +5 more
europepmc +2 more sources
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan. [PDF]
Sci Rep, 2023 Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters, threatening its regular operations. Predicting landslides along the KKH is challenging due to limitations in techniques, a challenging environment, and data ...
Kulsoom I +5 more
europepmc +2 more sources
Deep learning-based landslide susceptibility mapping. [PDF]
Sci Rep, 2021 Landslides are considered as one of the most devastating natural hazards in Iran, causing extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas can be used to plan for and mitigate the consequences of catastrophic ...
Azarafza M +4 more
europepmc +2 more sources
Comparative study on landslide susceptibility mapping based on unbalanced sample ratio. [PDF]
Sci Rep, 2023 The Zigui–Badong section of the Three Gorges Reservoir area is used as the research area in this study to research the impact of unbalanced sample sets on Landslide Susceptibility Mapping (LSM) and determine the sample ratio interval with the best ...
Tang L, Yu X, Jiang W, Zhou J.
europepmc +2 more sources
The importance of input data on landslide susceptibility mapping [PDF]
Scientific Reports, 2021 Landslide detection and susceptibility mapping are crucial in risk management and urban planning. Constant advance in digital elevation models accuracy and availability, the prospect of automatic landslide detection, together with variable processing ...
Krzysztof Gaidzik +1 more
doaj +2 more sources