Results 111 to 120 of about 4,869,914 (227)

Combined rock slope stability and shallow landslide susceptibility assessment of the Jasmund cliff area (Rügen Island, Germany) [PDF]

Natural Hazards and Earth System Sciences, 2009
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  

Shallow Landslides Align With Atmospheric Rivers in Coastal Steeplands

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Rapid, shallow landslides in coastal mountains are triggered by extreme precipitation, shaping topography and impacting human settlements. Using an inventory of >700 landslides mapped from satellite imagery (2009–2024) and an atmospheric river database (1981–2019), this study documents linkages between climatic drivers and the topographic ...
Joshua J. Roering, Eliza R. Lawrence, Ries Plescher, Maryn A. Sanders, Deanna Nash, Annette I. Patton, Adelaide Johnson, Aaron Jacobs, Nicolas W. Mathews, Lia Salomon, Stephen McKay, Wolfgang Schwanghart, William Struble, Quinn Aboudara   +13 more
wiley   +1 more source

Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Frequent pluvial hydrometeorological disasters in Southeast Asia (SEA) threaten lives and property, yet the region lacks a unified disaster data set for risk management and research. This study develops a provincial‐level data set integrating multi‐source hazard reports with precipitation data and identifies empirical rainfall reference values
Junjun Li, Jingyu Wang, Hui Su, Xianfeng Wang, Edward Park, Raju Pathak, Dung Duc Tran, Luojie Dong   +7 more
wiley   +1 more source

Landslide susceptibility assessment using different rainfall event based landslide inventories: advantages and limitations [PDF]

The present work aims to evaluate potential sources of uncertainty associated with rainfalltriggered event-based landslide inventories within the framework of landslide susceptibility assessment.
Oliveira, Sérgio C., Zêzere, José Luís, Pereira, Susana, Garcia, Ricardo A. C., Garcia, Ricardo, Zêzere, José, Melo, Raquel, Vaz, Teresa, Oliveira, Sérgio   +8 more
core   +1 more source

Landslide susceptibility mapping model based on a coupled model of SMOTE-Tomek and CNN and its application: A case study in the Zigui-Badong section of the Three Gorges Reservoir area

Zhongguo dizhi zaihai yu fangzhi xuebao
China is a nation severely impacted by landslide disasters, which poses a great threat to the lives and properties of people in the disaster-affected areas.
Xianyu YU, Li TANG
doaj   +1 more source

Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR. [PDF]

Sci Rep, 2023
Fan X, Liu B, Luo J, Pan K, Han S, Zhou Z.   +5 more
europepmc   +1 more source

Mechanisms of Shallow Rainfall-induced Landslides in Residual Soils in Humid Tropical Environments [PDF]

, 2007
Landslide mechanisms and processes, particularly within the basal deformation region during failure, are poorly understood in the current knowledge.
Kit Ying Ng,, Ying Ng, Kit
core  

Effects of SBAS-InSAR Deformation Integration Methods and Machine Learning Model Selection on Landslide Susceptibility Mapping

IEEE Access
Landslide susceptibility mapping (LSM) is effective in revealing the spatial distribution and probability of landslides. Its accuracy is crucial for minimizing casualties and property loss. However, current LSM methods primarily rely on static indicators,
Zhen Yang, Xiangchao Jiang, Meinan Zheng, Qingbiao Guo   +3 more
doaj   +1 more source

Landslide susceptibility assessment using the Weight of Evidence method: A case study in Xunyang area, China. [PDF]

PLoS One, 2021
Cao Y, Wei X, Fan W, Nan Y, Xiong W, Zhang S.   +5 more
europepmc   +1 more source

Machine learning powered natural terrain landslide identification and susceptibility assessment

, 2020
In recent years, extreme weather has brought about many disasters worldwide, including devastating natural terrain landslides, causing significant casualties and economic loss.
Wang, Haojie
core