Silvan: An Immersive Software for Visualization and Mensuration of 3D LiDAR Point Clouds
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Authors
Easson, Lee Joseph
Issue Date
2021
Type
Thesis
Language
Keywords
Forestry , LiDAR , Mensuration , Point Cloud , Visualization
Alternative Title
Abstract
Light Detection and Ranging (LiDAR) point clouds, data representations composed of a collectionof 3D positioned points each with location and intensity data embedded, have numerous applications particularly in the fields of Forestry, Environmental Science, and Remote Sensing. This thesis
introduces Silvan, an immersive forestry research software designed for point cloud visualization,
segmentation, and mensuration. The main design goals of Silvan are to provide an immersive 3D
environment for research in Forestry and Remote Sensing and to provide a mensuration and visualization pipeline for extracting tree metrics including coordinates, tree height, diameter at breast
height (DBH), height to live crown, and crown spread. This thesis surveys the current state of research in immersive software for analyzing and visualizing 3D point clouds and focuses on discussing
the software implementation details of Silvan and how each feature addresses a limitation of current
tree mensuration techniques. This thesis then describes an experimental methodology for gathering
and analyzing user feedback and discusses the experimental feedback before finally concluding with
discussion of future extensions of Silvan.