TERN Data Discovery Portal

Description

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Warra Tall Eucalypt SuperSite in southern Tasmania, 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).
The Warra Tall Eucalypt SuperSite is managed by the University of Tasmania.

Purpose
Terrestrial LiDAR measurements can be used to assess vegetation structure, create 3D reconstructions, and perform terrain surface analysis.

Lineage

The 1-hectare plot underwent sampling utilizing a ~15 m grid configuration employing a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) operating at 600 kHz. This dataset comprises 88 scans captured within the 1-hectare grid and 5 external.
Raw processing of the TLS data and co-registration of scans was conducted in Riegl’s RiSCAN PRO software suite. 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 dataset is available as a compressed RiSCAN PRO project and single scans as Cloud Optimized Point Cloud (COPC) LAZ 1.4. Single scans are given in the scanner coordinate system. Transformations matrices for each position are made available for both global (WGS 84 / UTM zone 55S) and local coordinate systems.

Temporal coverage

From 5/12/2023 to 5/14/2023

Dates

Creation date

5/12/2023

Publication date

7/15/2024

Revision date

7/15/2024

Citation information

How to cite this collection:

Levick, S., Devereux, T., Woodgate, W. & Johnson, S. (2024): Warra Tall Eucalypt Terrestrial LiDAR, 2023. Version 1.0. Terrestrial Ecosystem Research Network. (Dataset). https://doi.org/10.25901/0b2j-a982

Access data

These data can be accessed from following links:

Access metadata

Point-of-truth metadata URL

Rights and Licensing

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.