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Alice Mulga Terrestrial LiDAR, 2021 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 67 times
Accessed 39 times
Dataset Created: 2021-05-12
Dataset Published: 2024-07-04
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPTerrestrial LiDAR Scan Alice Mulga 2021HTTPro-crate-metadata.json
How to cite this collection:
Levick, S., Devereux, T., Woodgate, W. & Johnson, S. (2024). Alice Mulga Terrestrial LiDAR, 2021. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/vqva-5y84 
This terrestrial LiDAR dataset captures detailed vegetation structural information at the Alice Mulga SuperSite on Pine Hill Cattle Station in the Northern Territory, 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 TERN Alice Springs Mulga SuperSite is managed by the University of Technology Sydney. 
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 20 m grid configuration employing a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) operating at 600 kHz. This dataset comprises 36 scans captured within the 1-hectare grid and 4 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 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 53S) and local coordinate systems. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Alice Mulga SuperSite on Pine Hill Cattle Station in the Northern Territory, Australia.
Temporal Coverage
From 2021-05-12 to 2021-05-12 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Landscape ecology
GCMD Sciences
BIOSPHERE - FOREST COMPOSITION/VEGETATION STRUCTURE
Horizontal Resolution
Point Resolution
Instruments
Riegl VZ-2000i laser scanner
Parameters
vegetation structure
Platforms
Alice Mulga
Temporal Resolution
one off
Topic
environment
User Defined
LiDAR
lidar point cloud
TLS
Author
Levick, Shaun
Co-Author
Devereux, Timothy
Woodgate, William
Johnson, Stephanie
Funder
University of Queensland
Terrestrial Ecosystem Research Network
CSIRO Environment
Contact Point
Devereux, Timothy
Levick, Shaun
Publisher
Terrestrial Ecosystem Research Network
Stakeholder
Cleverly, Jamie
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

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

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Version:6.2.22