Stone

Optimising remotely acquired, dense point cloud data for plantation inventory
This project was designed to harness the rapid technological advances being made in the capture and processing of dense point cloud data as a tool for forest estate management. It involved multi-discipline collaboration with commercial plantation growers, lead forest industry service providers and robotics scientists to ensure the delivery of efficient, resource assessment products.  This ...Read More

Operational deployment of LiDAR derived information into softwood resource systems
The project evaluated LiDAR based inventory solutions for softwood plantations in terms of information outcomes, technical feasibility and cost effectiveness.  The project demonstrated that imputation models are able to predict many commercially valuable parameters, appear robust and produce predictions that make sense. Since models are central in a model-based inventory system this provides confidence that ...Read More