Results 131 to 140 of about 18,543 (287)

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece

Remote Sensing
Landslides are one of the most severe geohazards globally, causing extreme financial and social losses. While InSAR time-series analyses provide valuable insights into landslide detection, mapping, and monitoring, AI is also implemented in a variety of ...
Stavroula Alatza, Alexis Apostolakis, Constantinos Loupasakis, Charalampos Kontoes, Martha Kokkalidou, Nikolaos S. Bartsotas, Georgios Christopoulos   +6 more
doaj   +1 more source

Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event

Geomatics, Natural Hazards & Risk, 2019
A landslide susceptibility map, which describes the quantitative relationship between known landslides and control factors, is essential to link the theoretical prediction with practical disaster reduction measures.
Yingying Tian, Chong Xu, Haoyuan Hong, Qing Zhou, Duo Wang   +4 more
doaj   +1 more source

Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach

, 2014
Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. These models extend spatially the static stability models adopted in geotechnical engineering, and adopt an ...
Alvioli, M., Baum, R. L., Godt, J. W., Guzzetti, F., Raia, S., Rossi, M.   +5 more
core   +2 more sources

Inventory of Landslides Triggered by Heavy Rainfall in Fuling District, Chongqing, China, June 2019

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
This study established a comprehensive landslide database triggered by a single rainfall event in Fuling District, Chongqing, China, to improve the accuracy of landslide prediction and early warning models. It provides scientific data support for disaster prevention and reduction in the study area.
Xue Zhiwen, Xu Chong, Yawei Xie, Xuning Nie, Xin Li, Zikang Xiao, Xiwei Xu, Zhiqiang Zhang, Dengjie Zhu, Bo Gong, Hourong Zhang   +10 more
wiley   +1 more source

Mapping of Landslide Hazard Distribution in Alo Watershed Gorontalo Regency [PDF]

, 2020
Landslide occurrence can be influenced by physical factors and human activities. Thus, research related to the provision of information about landslide distribution in Alo watershed is needed as a basis in enhancing community preparedness in dealing with
Jaya, R. (Risman), Rijal, A. S. (Ahmad)
core  

Data fusion technique using wavelet transform and taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery [PDF]

, 2016
Landslide mapping is indispensable for efficient land use management and planning. Landslide inventory maps must be produced for various purposes, such as to record the landslide magnitude in an area and to examine the distribution, types, and forms of ...
Jebur, Mustafa Neamah, Mohd Shafri, Helmi Zulhaidi, Pradhan, Biswajeet, Tehrany, Mahyat Shafapour   +3 more
core   +1 more source

Configurational Energy as a Microstructural Descriptor of Failure Precursors in 2D Frictional Granular Materials

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 5, Page 2470-2485, 10 April 2026.
ABSTRACT Localized deformation in dense granular materials, often culminating in the formation of shear bands, is a key failure mechanism in geotechnical and material systems. However, predicting the onset of such localization remains a fundamental challenge due to the system's inherent inelasticity and microstructural complexity.
Zhennan Zhu, Francois Nicot, Antoine Wautier, Klaus Regenauer‐lieb, Manman Hu   +4 more
wiley   +1 more source

Landslide Activity in the European Alps ‐ Part 1: A Machine Learning Based Instrumental Catalog From the Analysis of Seismological Data

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Landslides in the European Alps are a growing concern in the context of climate change. However, landslide catalogs for the European Alps remain incomplete, often lacking precise timing and containing few, if any, entries for remote areas.
Charlotte Groult, Clément Hibert, Jean‐Philippe Malet, Anthony Lomax, Floriane Provost   +4 more
wiley   +1 more source

A comparative analysis of web-based tools for landslide mapping and visualization

Smart Construction and Sustainable Cities
Effective management of landslide events requires robust mapping and visualization tools to ensure prompt responses and a thorough understanding of the situation.
Badariah Solemon, Alshami Mohammed Zaid Ahmed, Nur Aishah Zarime   +2 more
doaj   +1 more source

Study on landslide susceptibility mapping with different factor screening methods and random forest models. [PDF]

PLoS One, 2023
Gu T, Li J, Wang M, Duan P, Zhang Y, Cheng L.   +5 more
europepmc   +1 more source