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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
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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
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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
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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
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Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer [PDF]
Sensors, 2022 Landslide susceptibility mapping (LSM) is an important decision basis for regional landslide hazard risk management, territorial spatial planning and landslide decision making. The current convolutional neural network (CNN)-based landslide susceptibility
Shuai Bao +6 more
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GIS-based multi-criteria landslide susceptibility assessment in the Northwestern Himalaya, Jammu and Kashmir, India [PDF]
Scientific ReportsThis study presents a landslide susceptibility assessment using multiple parameters by integrating remote sensing, GIS, and field observations in the Jammu and Kashmir region.
Avtar Singh Jasrotia +6 more
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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
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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
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Frontiers in Environmental Science, 2022 The correlation calculation model between landslide and mapping factors has a direct influence on the accuracy of landslide susceptibility mapping results.
Zhenghai Xue +5 more
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Applied Sciences, 2023 Landslide susceptibility mapping based on static influence factors often exhibits issues of low accuracy and classification errors. To enhance the accuracy of susceptibility mapping, this study proposes a refined approach that integrates categorical ...
Zhaowei Yao +6 more
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