Operational immersive visualisation and measurement of dense point cloud data in forest inventory

This project was built on progress made in the initial Virtual Reality (VR) work explored in FWPA funded project (PNC464-1718). The project developed VR methods and workflows to support VR visualisation and measurement of plot-level point-cloud data in forest inventory. Additionally, this project was built on progress in the development of automated point cloud processing algorithms for individual tree detection and segmentation developed in FWPA-funded research (PNC377-1516) and National Institute for Forest Product innovation (NIFPI)-funded project (NIF073-1819). This project investigated the concept of the Human-in-the-loop (HITL) framework, where VR users directly collaborate with the automated Machine Learning (ML) point cloud processing algorithms.