Remote rock mass characterization is a critical component of geological and geotechnical studies, providing valuable insights into the structural integrity, stability, and behavior of rock formations without the need for direct physical access. This field encompasses a diverse range of techniques and technologies aimed at remotely assessing the properties and characteristics of rock masses, including their composition, structure, discontinuities, and mechanical properties. By leveraging various remote sensing methods, such as LiDAR, photogrammetry, radar imaging, and geophysical surveys, researchers and engineers can obtain detailed information about rock formations at different scales and resolutions. These remote characterization approaches offer significant advantages in terms of efficiency, safety, and data quality, enabling comprehensive geological mapping, hazard assessment, and infrastructure planning in challenging terrains and inaccessible environments. In this context, remote rock mass characterization plays a pivotal role in supporting informed decision-making processes for geological exploration, mining operations, civil engineering projects, and natural hazard mitigation efforts.

Huang, M. Q., Ninić, J., & Zhang, Q. B. (2021). Bim, machine learning and computer vision techniques in underground construction: Current status and future perspectives. Tunnelling and Underground Space Technology, 108, 103677. https://doi.org/10.1016/j.tust.2020.103677 

Let's continue talking about discontinuity sets and orientation:

How about planar discontinuity orientation?

Here you can find details on the CloudCompare Compass plugin: 
https://www.cloudcompare.org/doc/wiki/index.php/Compass_(plugin)

We will continue with some exercises that can be found on the next pages.