Date of Award
4-24-2021
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Applied Science
First Advisor
Margaret McMillan
Abstract
Terrestrial LiDAR scanning has become a staple of modern speleological research and mapping due to its increasing availability, rapid deployment, and ability to collect large quantities of spatial data in a short period of time. In addition to spatial data, LiDAR scanners’ ability to record reflection intensity is of interest in the geoscience community as a proxy for surface reflectivity and as a means of aiding in visualizations when a lack of lighting prevents the use of photography at a useful scale. In this study, a methodology for rendering a stereoscopic, real-time rendering of a 10 scan, 425-million point portion of the Big Bat LiDAR Project in Unity3D is presented. Also, a common method for correcting intensity values for environmental and instrumental influences is tested for practicability in natural, highly-weathered surfaces encountered in an active cave.
Recommended Citation
Baggett, Jeffrey Aaron, "Terrestrial LiDAR Scanning and Gaming Engines: Using Unity3D to Visualize High-Resolution Point Clouds from Big Bat Cave, Kentucky" (2021). Theses and Dissertations. 996.
https://research.ualr.edu/etd/996
