This terrestrial LiDAR dataset captures detailed vegetation structural information at the Tumbarumba Wet Eucalypt site in NSW, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project, CSIRO and the University of Queensland. This work was also supported by an Australian Research Council DECRA Fellowship (DE190101182).
Purpose
Terrestrial LiDAR measurements can be used to assess vegetation structure, create 3D reconstructions, and perform terrain surface analysis.
Lineage
The 1Â ha plot at Tumbarumba was sampled using a 10x10Â m grid configuration with a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) at 600Â kHz under intermittent lighting conditions and light wind. The dataset consists of 100 scans within the 1Â ha grid and 48 external scans.
Raw processing of the TLS data and co-registration of scans was conducted in Riegl’s RiSCAN PRO software suite. GNSS positioning and the internal inclination and orientation sensors of the Riegl VZ-2000i enabled scans to be placed in geographic coordinates with rough alignment. Riegl’s Multi-Station Adjustment tool (MSA) was used to refine the alignment until an overall RMSE of < 0.02 m was attained.
The data is given as a compressed RiSCAN project folder, single scans as LAZ 1.2, and all scans merged as LAZ 1.2. The merged point cloud was downsampled using the RiSCAN octree filter with a voxel size of 0.02Â m.