Monitoring the effects of slope hazard mitigation and weather on rockfall along a Colorado highway using terrestrial laser scanning
Rockfall is a frequent hazard in mountainous areas, but risks can be mitigated by the
construction of protection structures and slope modification. In this study, two rock slopes …
construction of protection structures and slope modification. In this study, two rock slopes …
Accuracy of Rockfall Volume Reconstruction from Point Cloud Data—Evaluating the Influences of Data Quality and Filtering
Rockfall processes are now commonly studied through monitoring campaigns using repeat
lidar scanning. Accordingly, several recent studies have evaluated how the temporal …
lidar scanning. Accordingly, several recent studies have evaluated how the temporal …
Superpixel and supervoxel segmentation assessment of landslides using UAV-derived models
Reality capture technologies such as Structure-from-Motion (SfM) photogrammetry have
become a state-of-the-art practice within landslide research workflows in recent years. Such …
become a state-of-the-art practice within landslide research workflows in recent years. Such …
Rock discontinuities characterization from large-scale point clouds using a point-based deep learning method
Rock discontinuities are essential for the mechanical behavior and stability of rock mass.
Previous approaches for characterizing discontinuities either rely on limited handcrafted …
Previous approaches for characterizing discontinuities either rely on limited handcrafted …
[HTML][HTML] Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest …
Automatically identifying mine and tunnel infrastructure elements, such as rock bolts, from
point cloud data improves deformation and quality control analyses and could ultimately …
point cloud data improves deformation and quality control analyses and could ultimately …
The influence of training data variability on a supervised machine learning classifier for Structure from Motion (SfM) point clouds of rock slopes
Abstract Supervised Machine Learning (ML) can be used to automatically interpret remote
sensing data in engineering geology, with applications for rockfall and landslide …
sensing data in engineering geology, with applications for rockfall and landslide …
Remote sensing analysis of geologic hazards
In recent decades, classical survey techniques (ie, field measurements and aerial remote
sensing) have evolved, and with the advent of new technologies—eg, terrestrial radar …
sensing) have evolved, and with the advent of new technologies—eg, terrestrial radar …
Integrating monitoring data into risk assessment and management for rock slopes
DJ Hutchinson - … 2023: Third International Slope Stability in …, 2023 - papers.acg.uwa.edu.au
Large open pit and natural rock slope monitoring methods have become increasingly
available and useful with advances in equipment, analysis techniques and data integration …
available and useful with advances in equipment, analysis techniques and data integration …
[PDF][PDF] Remote Sensing Analysis of Geologic Hazards. Remote Sens. 2022, 14, 4818
In recent decades, classical survey techniques (ie, field measurements and aerial remote
sensing) have evolved, and with the advent of new technologies—eg, terrestrial radar …
sensing) have evolved, and with the advent of new technologies—eg, terrestrial radar …
Generalized Machine-Learning-Based Point Cloud Classification for Natural and Cut Slopes
LM Weidner - 2021 - search.proquest.com
Processing and interpretation of 3D point cloud datasets is often a limiting factor for their use
in geohazard engineering projects, prompting a growing interest in supervised Machine …
in geohazard engineering projects, prompting a growing interest in supervised Machine …