Exploring the multiple land degradation pathways across the planet

R Prăvălie - Earth-Science Reviews, 2021 - Elsevier
Land degradation has become one of the biggest environmental challenges human society
is currently facing, which is why understanding the global pattern of this land crisis is …

A review of the recent literature on rainfall thresholds for landslide occurrence

S Segoni, L Piciullo, SL Gariano - Landslides, 2018 - Springer
The topic of rainfall thresholds for landslide occurrence was thoroughly investigated,
producing abundance of case studies at different scales of analysis and several technical …

[HTML][HTML] An explainable AI (XAI) model for landslide susceptibility modeling

B Pradhan, A Dikshit, S Lee, H Kim - Applied Soft Computing, 2023 - Elsevier
Landslides are among the most devastating natural hazards, severely impacting human
lives and damaging property and infrastructure. Landslide susceptibility maps, which help to …

The human cost of global warming: Deadly landslides and their triggers (1995–2014)

U Haque, PF Da Silva, G Devoli, J Pilz, B Zhao… - Science of the Total …, 2019 - Elsevier
Worldwide, landslides incur catastrophic and significant economic and human losses.
Previous studies have characterized the patterns in landslides' fatalities, from all kinds of …

A review of landslide acceptable risk and tolerable risk

KB Sim, ML Lee, SY Wong - Geoenvironmental Disasters, 2022 - Springer
Landslides are one of the most important geohazards. In 2004–2016, more than 55,000
people lost their lives to landslides and this does not include deaths caused by seismically …

Time series analysis and long short-term memory neural network to predict landslide displacement

B Yang, K Yin, S Lacasse, Z Liu - Landslides, 2019 - Springer
A good prediction of landslide displacement is an essential component for implementing an
early warning system. In the Three Gorges Reservoir Area (TGRA), many landslides deform …

[HTML][HTML] Forecasting the time of failure of landslides at slope-scale: A literature review

E Intrieri, T Carlà, G Gigli - Earth-science reviews, 2019 - Elsevier
Forecasting the time of failure of landslides at slope-scale is a difficult yet important task that
can mitigate the effects of slope failures in terms of both human lives and economic losses …

[HTML][HTML] Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

AL Balogun, F Rezaie, QB Pham, L Gigović… - Geoscience …, 2021 - Elsevier
In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …

Geophysical monitoring of moisture‐induced landslides: A review

JS Whiteley, JE Chambers, S Uhlemann… - Reviews of …, 2019 - Wiley Online Library
Geophysical monitoring of landslides can provide insights into spatial and temporal
variations of subsurface properties associated with slope failure. Recent improvements in …

An integrated approach of machine learning, remote sensing, and GIS data for the landslide susceptibility mapping

I Ullah, B Aslam, SHIA Shah, A Tariq, S Qin, M Majeed… - Land, 2022 - mdpi.com
Landslides triggered in mountainous areas can have catastrophic consequences, threaten
human life, and cause billions of dollars in economic losses. Hence, it is imperative to map …