[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

The Varnes classification of landslide types, an update

O Hungr, S Leroueil, L Picarelli - Landslides, 2014 - Springer
The goal of this article is to revise several aspects of the well-known classification of
landslides, developed by Varnes (1978). The primary recommendation is to modify the …

Landslide prediction, monitoring and early warning: a concise review of state-of-the-art

BG Chae, HJ Park, F Catani, A Simoni, M Berti - Geosciences Journal, 2017 - Springer
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …

Recommendations for the quantitative analysis of landslide risk

J Corominas, C van Westen, P Frattini… - Bulletin of engineering …, 2014 - Springer
This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …

Trends in large-deformation analysis of landslide mass movements with particular emphasis on the material point method

K Soga, E Alonso, A Yerro, K Kumar… - Géotechnique, 2016 - icevirtuallibrary.com
Traditional geotechnical analyses for landslides involve failure prediction (ie onset of failure)
and the design of structures that can safely withstand the applied loads. The analyses …

The formation and impact of landslide dams–State of the art

X Fan, A Dufresne, SS Subramanian, A Strom… - Earth-Science …, 2020 - Elsevier
The blocking of river courses by mass movements is very common in mountainous areas
with deep and narrow valleys. Landslide dams may pose serious threats to people and their …

Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability

M Di Napoli, F Carotenuto, A Cevasco, P Confuorto… - Landslides, 2020 - Springer
Statistical landslide susceptibility mapping is a topic in complete and constant evolution,
especially since the introduction of machine learning (ML) methods. A new methodological …

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

A Trigila, C Iadanza, C Esposito… - Geomorphology, 2015 - Elsevier
The aim of this work is to define reliable susceptibility models for shallow landslides using
Logistic Regression and Random Forests multivariate statistical techniques. The study area …

[HTML][HTML] Worldwide research trends in landslide science

P Carrión-Mero, N Montalván-Burbano… - International journal of …, 2021 - mdpi.com
Landslides are generated by natural causes and by human action, causing various
geomorphological changes as well as physical and socioeconomic loss of the environment …

What is a debris flood?

M Church, M Jakob - Water resources research, 2020 - Wiley Online Library
Debris floods have been defined descriptively as mineral and organic sediment‐rich floods,
occurring in a steep channel and potentially destabilizing the streambed and banks. While …