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 …

Rockfall processes are now commonly studied through monitoring campaigns using repeat
lidar scanning. Accordingly, several recent studies have evaluated how the temporal …

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 …

Rock discontinuities are essential for the mechanical behavior and stability of rock mass.
Previous approaches for characterizing discontinuities either rely on limited handcrafted …

Automatically identifying mine and tunnel infrastructure elements, such as rock bolts, from
point cloud data improves deformation and quality control analyses and could ultimately …

Abstract Supervised Machine Learning (ML) can be used to automatically interpret remote
sensing data in engineering geology, with applications for rockfall and landslide …

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 …

Large open pit and natural rock slope monitoring methods have become increasingly
available and useful with advances in equipment, analysis techniques and data integration …

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 …

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 …