Results 1 to 10 of about 3,126 (205)

Uncertainties of landslide susceptibility prediction considering different landslide types

Journal of Rock Mechanics and Geotechnical Engineering, 2023
Most literature related to landslide susceptibility prediction only considers a single type of landslide, such as colluvial landslide, rock fall or debris flow, rather than different landslide types, which greatly affects susceptibility prediction ...
Faming Huang, Haowen Xiong, Chi Yao, Filippo Catani, Chuangbing Zhou, Jinsong Huang   +5 more
doaj   +3 more sources

Dynamic path-dependent landslide susceptibility modelling [PDF]

Natural Hazards and Earth System Sciences, 2020
This contribution tests the added value of including landslide path dependency in statistically based landslide susceptibility modelling. A conventional pixel-based landslide susceptibility model was compared with a model that includes landslide path ...
J. Samia, J. Samia, J. Samia, A. Temme, A. Temme, A. Bregt, J. Wallinga, F. Guzzetti, F. Ardizzone   +8 more
doaj   +5 more sources

Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map

ISPRS International Journal of Geo-Information, 2023
Though danger prediction and countermeasures for landslides are important, it is fundamentally difficult to take preventive measures in all areas susceptible to dangerous landslides. Therefore, it is necessary to perform landslide susceptibility mapping,
Masanori Kohno, Yuki Higuchi
doaj   +3 more sources

Influences of non-landslide sample selection strategies on landslide susceptibility mapping by machine learning

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, Junbin He, Siyi Huang, Wenbin Jian, Chaoxu Guo   +4 more
doaj   +3 more sources

GIS-based multi-criteria landslide susceptibility assessment in the Northwestern Himalaya, Jammu and Kashmir, India [PDF]

Scientific Reports
This 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, Amit Sharma, Iswar Chandra Das, Tapas Ranjan Martha, Rajesh Kumar, Vikshay Kumar, Akarshan Rasyal   +6 more
doaj   +2 more sources

Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. [PDF]

PLoS ONE
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstanding threat to the nation's population and infrastructure.
Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty   +3 more
doaj   +2 more sources

Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection

Geomatics, Natural Hazards & Risk
Non-landslide samples influence the outcomes of landslide susceptibility assessment. Existing studies did not fully consider the equilibrium between landslide and non-landslide samples in similar environments, resulting in poor reliability of landslide ...
Jiangang Lu, Yi He, Lifeng Zhang, Qing Zhang, Binghai Gao, Hesheng Chen, Yumin Fang   +6 more
doaj   +3 more sources

Seismic landslide susceptibility assessment using principal component analysis and support vector machine [PDF]

Scientific Reports
Seismic landslides are dangerous natural hazards that can cause immense damage to human lives and property. Susceptibility assessment of earthquake-triggered landslides provides the scientific basis and theoretical foundation for disaster emergency ...
Ziyao Xu, Ailan Che, Hanxu Zhou
doaj   +2 more sources

GIS-based analytical hierarchy process, weight of evidence and logistic regression models for the landslide susceptibility predicting in Echorfa Region (northwestern of Algeria)

Bulletin of the Mineral Research and Exploration, 2023
The main objective of this study is destined to combine the Analytical Hierarchy Process (AHP), Weight of Evidence (WOE), Logistic Regression (LR) methods and geographic information system (GIS) to predict landslide susceptibility of the Echorfa region ...
Nadjı Abdelmansour, Roukh Zine El Abidine   +1 more
doaj   +1 more source

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Remote Sensing, 2021
Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application.
Heping Shu, Zizheng Guo, Shi Qi, Danqing Song, Hamid Reza Pourghasemi, Jiacheng Ma   +5 more
doaj   +1 more source