[HTML][HTML] Remote sensing for landslide investigations: A progress report from China

Q Xu, B Zhao, K Dai, X Dong, W Li, X Zhu, Y Yang… - Engineering …, 2023 - Elsevier
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …

Object-based analysis using unmanned aerial vehicles (UAVs) for site-specific landslide assessment

E Karantanellis, V Marinos, E Vassilakis, B Christaras - Remote Sensing, 2020 - mdpi.com
The increased development of computer vision technology combined with the increased
availability of innovative platforms with ultra-high-resolution sensors, has generated new …

Identification of potential rockfall sources using UAV-derived point cloud

D Albarelli, OC Mavrouli, P Nyktas - Bulletin of engineering geology and …, 2021 - Springer
Recent advances in remote sensing techniques and computer algorithms allow accurate,
abundant, and high-resolution geometric information retrieval for rock mass characterization …

Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling

C Robiati, G Mastrantoni, M Francioni, M Eyre… - Land, 2023 - mdpi.com
The increased accessibility of drone technology and structure from motion 3D scene
reconstruction have transformed the approach for map** inaccessible slopes undergoing …

Semi-automatic calculation of joint trace length from digital images based on deep learning and data structuring techniques

YK Lee, J Kim, CS Choi, JJ Song - … Journal of Rock Mechanics and Mining …, 2022 - Elsevier
A new semi-automated method is proposed in this study that detects joint traces from digital
images and calculates the length distribution through three-dimensional data structuring …

Combining ground based remote sensing tools for rockfalls assessment and monitoring: The Poggio Baldi Landslide Natural Laboratory

S Romeo, A Cosentino, F Giani, G Mastrantoni… - Sensors, 2021 - mdpi.com
Nowadays the use of remote monitoring sensors is a standard practice in landslide
characterization and monitoring. In the last decades, technologies such as LiDAR, terrestrial …

[HTML][HTML] Utilizing semantic-level computer vision for fracture trace characterization of hard rock pillars in underground space

C Li, J Zhou, D Dias - Geoscience Frontiers, 2024 - Elsevier
This study utilizes a semantic-level computer vision-based detection to characterize fracture
traces of hard rock pillars in underground space. The trace images captured by …

[HTML][HTML] Towards a procedure to manage safety on construction sites of rockfall protective measures

M Marchelli, G Coltrinari, GA Degan, D Peila - Safety science, 2023 - Elsevier
Construction sites represent ones of the most dangerous workplaces, due to the huge
number of hazards related to the performed activities that can cause discomfort, health …

Machine learning-based and 3d kinematic models for rockfall hazard assessment using LiDAR data and GIS

AM Fanos, B Pradhan, A Alamri, CW Lee - Remote Sensing, 2020 - mdpi.com
Rockfall is one of the most hazardous phenomena in mountainous and hilly regions with
high and steep terrain. Such incidents can cause massive damage to people, properties …

Automated delimitation of rockfall hazard indication zones using high-resolution trajectory modelling at regional scale

L Dorren, C Schaller, A Erbach, C Moos - Geosciences, 2023 - mdpi.com
The aim of this study was to delimit potential rockfall propagation zones based on simulated
2 m resolution rockfall trajectories using Rockyfor3D for block volume scenarios ranging …