Results 31 to 40 of about 1,612 (198)

Landslide manual and automated inventories, and susceptibility mapping using LIDAR in the forested mountains of Guerrero, Mexico

Geomatics, Natural Hazards & Risk, 2017
Landslides are a pervasive natural disaster, resulting in severe social, environmental and economic impacts worldwide. The tropical, mountainous landscape in South-West Mexico is predisposed to landslides because of frequent hurricanes and earthquakes ...
Krzysztof Gaidzik, María Teresa Ramírez-Herrera, Michael Bunn, Ben A. Leshchinsky, Michael Olsen, Netra R. Regmi   +5 more
doaj   +1 more source

Landslide Susceptibility Mapping of Central and Western Greece, Combining NGI and WoE Methods, with Remote Sensing and Ground Truth Data

Land, 2021
The exploitation of remote sensing techniques has substantially improved pre- and post- disaster landslide management over the last decade. A variety of landslide susceptibility methods exists, with capabilities and limitations related to scale and ...
Charalampos Kontoes, Constantinos Loupasakis, Ioannis Papoutsis, Stavroula Alatza, Eleftheria Poyiadji, Athanassios Ganas, Christina Psychogyiou, Mariza Kaskara, Sylvia Antoniadi, Natalia Spanou   +9 more
doaj   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source

Open Inventories of Rainfall‐Triggered Landslides

Geoscience Data Journal
ABSTRACT Landslide inventories support both post‐event response and predictive model evaluation, but it remains challenging to create public, current, comprehensive and accurate landslide inventories. In response to this need, thousands of rainfall‐triggered landslides were mapped and organised within the National Aeronautics and ...
Rachel (Soobitsky) Vershel, Jessica Sutton, Thomas Stanley, Pukar Amatya, Dalia Kirschbaum   +4 more
openaire   +1 more source

New geochronological constraints on Late Pleistocene glaciation in the southern Cadí Massif, SE Pyrenees

Journal of Quaternary Science, EarlyView.
ABSTRACT The Cadí Massif (42°17′09″ N, 1°38′11″ E; 2649 m a.s.l.) in the southeastern Pyrenees preserves clear evidence of Late Pleistocene glaciation, although previous research has focused almost exclusively on its northern slope. By contrast, the southern slope has remained largely unexplored.
M. Oliva, J. Ventura, A. Çiner, M. A. Sarıkaya, J. Bonsoms, K. M. Wilcken   +5 more
wiley   +1 more source

Integrating Grain to Ground Motion Data for Critical Rock Bridge and Slope Failure Analysis

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Rock masses can fail catastrophically with little warning, yet their stability depends on hidden internal connections that channel forces and localise damage. Among these, rock bridges–a “known unknown” in slope mechanics–lock fractured rock and control how failure unfolds, but their concealed geometry and uncertain strength obscure where and ...
Antoinette Tordesillas, Shuo Zhou, Leonnardo Probst, Pat Bellett, Michal Nitka, Jacek Tejchman   +5 more
wiley   +1 more source

Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows

Artificial Intelligence in Geosciences
Machine learning (ML) algorithms are frequently used in landslide susceptibility modeling. Different data handling strategies may generate variations in landslide susceptibility modeling, even when using the same ML algorithm.
Guruh Samodra, Ngadisih, Ferman Setia Nugroho   +2 more
doaj   +1 more source

A Simplified, Object-Based Framework for Efficient Landslide Inventorying Using LIDAR Digital Elevation Model Derivatives

Remote Sensing, 2019
Landslide inventory maps are critical to understand the factors governing landslide occurrence and estimate hazards or sediment delivery to channels. Numerous semi-automated approaches for landslide inventory mapping have been proposed to improve the ...
Michael D. Bunn, Ben A. Leshchinsky, Michael J. Olsen, Adam Booth   +3 more
doaj   +1 more source

Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy [PDF]

Natural Hazards and Earth System Sciences, 2014
Event landslide inventory maps document the extent of populations of landslides caused by a single natural trigger, such as an earthquake, an intense rainfall event, or a rapid snowmelt event.
A. C. Mondini, A. Viero, M. Cavalli, L. Marchi, G. Herrera, F. Guzzetti   +5 more
doaj   +1 more source

Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China

Remote Sensing, 2023
Landslides are common natural disasters that cause serious damage to ecosystems and human societies. To effectively prevent and mitigate these disasters, an accurate assessment of landslide hazards is necessary. However, most traditional landslide hazard
Yunfeng Shan, Zhou Xu, Shengsen Zhou, Huiyan Lu, Wenlong Yu, Zhigang Li, Xiong Cao, Pengfei Li, Weile Li   +8 more
doaj   +1 more source