Dynamic path-dependent landslide susceptibility modelling [PDF]
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 +8 more
doaj +5 more sources
Combined rock slope stability and shallow landslide susceptibility assessment of the Jasmund cliff area (Rügen Island, Germany) [PDF]
In this contribution we evaluated both the structurally-controlled failure susceptibility of the fractured Cretaceous chalk rocks and the topographically-controlled shallow landslide susceptibility of the overlying glacial sediments for the Jasmund cliff
A. Günther, C. Thiel
doaj +4 more sources
Uncertainties of landslide susceptibility prediction considering different landslide types
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 +5 more
doaj +2 more sources
Deep learning-based landslide susceptibility mapping. [PDF]
AbstractLandslides 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 landsliding events.
Azarafza M +4 more
europepmc +6 more sources
Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. [PDF]
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstanding threat to the nation's population and infrastructure.
Raja Das +3 more
doaj +2 more sources
Geographically Weighted Random Forest Considering Spatial Heterogeneity for Landslide Susceptibility Assessment: A Case Study in Yingjiang County [PDF]
Landslide susceptibility mapping (LSM) is widely used for identifying potential landslide-prone areas. However, many existing approaches rely on global models that assume spatial stationarity, which limits their ability to capture spatially heterogeneous
Weiheng Qian +4 more
doaj +2 more sources
Seismic landslide susceptibility assessment using principal component analysis and support vector machine [PDF]
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
Landslide Susceptibility Mapping in Brazil: A Review [PDF]
Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction). This paper presents a literature review of susceptibility mapping studies in Brazil and analyzes the methods and ...
Helen Cristina Dias +2 more
openaire +3 more sources
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 +1 more source
Implementing landslide path dependency in landslide susceptibility modelling [PDF]
Landslide susceptibility modelling--a crucial step towards the assessment of landslide hazard and risk--has hitherto not included the local, transient effects of previous landslides on susceptibility. In this contribution, we implement such transient effects, which we term Blandslide path dependency^, for the first time.
Jalal Samia (1 +9 more
openaire +2 more sources

