Wireless sensor network-based rockfall and landslide monitoring systems: a review

M Ragnoli, M Scarsella, A Leoni, G Ferri, V Stornelli - Sensors, 2023 - mdpi.com
Rockfalls and landslide events are caused by different factors among which are included
geomorphological and climatic factors and also human interaction. Therefore, the economic …

Rockfall magnitude-frequency relationship based on multi-source data from monitoring and inventory

M Janeras, N Lantada, MA Núñez-Andrés, D Hantz… - Remote Sensing, 2023 - mdpi.com
Quantitative hazard analysis of rockfalls is a fundamental tool for sustainable risk
management, even more so in places where the preservation of natural heritage and …

Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau

N Kariminejad, M Kazemi Garajeh, M Hosseinalizadeh… - Drones, 2023 - mdpi.com
This study explored the innovative use of multiple remote sensing satellites and unmanned
aerial vehicles to calculate soil losses in the Loess Plateau of Iran. This finding emphasized …

Accuracy of Rockfall Volume Reconstruction from Point Cloud Data—Evaluating the Influences of Data Quality and Filtering

G Walton, L Weidner - Remote Sensing, 2022 - mdpi.com
Rockfall processes are now commonly studied through monitoring campaigns using repeat
lidar scanning. Accordingly, several recent studies have evaluated how the temporal …

Rock discontinuities characterization from large-scale point clouds using a point-based deep learning method

Q Chen, Y Ge, H Tang - Engineering Geology, 2024 - Elsevier
Rock discontinuities are essential for the mechanical behavior and stability of rock mass.
Previous approaches for characterizing discontinuities either rely on limited handcrafted …

[HTML][HTML] Prediction of rockfall hazard in open pit mines using a regression based machine learning model

IP Senanayake, P Hartmann, A Giacomini… - International Journal of …, 2024 - Elsevier
This study investigates the feasibility of implementing simple Machine Learning models to
make fast and reliable predictions of rockfall energies and run-outs at the base of highwalls …

Slope-Scale Rockfall Susceptibility Modeling as a 3D Computer Vision Problem

I Farmakis, DJ Hutchinson, N Vlachopoulos… - Remote Sensing, 2023 - mdpi.com
Rockfall constitutes a major threat to the safety and sustainability of transport corridors
bordered by rocky cliffs. This research introduces a new approach to rockfall susceptibility …

High-Temporal-Resolution Rock Slope Monitoring Using Terrestrial Structure-from-Motion Photogrammetry in an Application with Spatial Resolution Limitations

B Butcher, G Walton, R Kromer, E Gonzales, J Ticona… - Remote Sensing, 2023 - mdpi.com
Research on high-temporal-resolution rock slope monitoring has tended to focus on
scenarios where spatial resolution is also high. Accordingly, there is a lack of understanding …

An innovative methodology for the adjustable use of energy line angle for susceptibility mapping by using cone propagation approach

A Kalender, H Sonmez - Landslides, 2024 - Springer
Rockfall frequently occurs in the mountainous areas and threatens structures such as
settlement areas, transportation lines, and agricultural field. The empirical approaches for …

Failure mode of the hazardous Diaozui rock mass of the Qutang Gorge in the Three Gorges Reservoir area based on a three-dimensional numerical analysis

H Peng, Q Xie, B Chen, K Tan, Z Cao, B Wu - Bulletin of Engineering …, 2024 - Springer
The occurrence of rockfalls is a prevalent geological hazard, especially in the Three Gorges
Reservoir area of the Yangtze River. Analyzing the pre-rockfall evolution process of …