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Data

Gingin Banksia Woodland Terrestrial LiDAR, 2021 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2024-07-04
Dataset Last Modified: 2026-08-18
Metadata viewed 58 times
Dataset accessed 21 times
Metadata Created: 2023-06-05
Metadata Last Modified: 2026-08-19
How to cite this collection:
Levick, S., Devereux, T., Johnson, S. & Woodgate, W. (2024). Gingin Banksia Woodland Terrestrial LiDAR, 2021. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/nf1w-8m76 
Data can be accessed from the following links:
HTTPTerrestrial LiDAR Scan Gingin 2021
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
This terrestrial LiDAR dataset captures detailed vegetation structural information at the Gingin Banksia Woodland SuperSite on the Swan Coastal Plain, approximately 80 km north of Perth, Western 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).
Gingin Banksia Woodland Site is funded by TERN. It was established by CSIRO and is currently managed by Edith Cowan University (Centre for Ecosystem Management). The site is co-located with the Land Ecosystem Atmosphere Program (LEAP) – Gingin. 
Purpose
Terrestrial LiDAR measurements can be used to assess vegetation structure, create 3D reconstructions, and perform terrain surface analysis. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Gingin Banksia Woodland SuperSite on the Swan Coastal Plain, approximately 80km north of Perth, Western Australia. 
Temporal Coverage
From 2021-09-03 to 2021-09-03 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Landscape ecology
Data Stream
Terrestrial Laser Scanner
GCMD Sciences
VEGETATION - FOREST COMPOSITION/VEGETATION STRUCTURE
Horizontal Resolution
Point Resolution
Instruments
RIEGL VZ-2000i laser scanner
Parameters
lidar point cloud
Platforms
Gingin Banksia Woodland
Project
TERN Ecosystem Processes
Temporal Resolution
one off
Topic
environment
User Defined
LiDAR
TLS
Author
Levick, Shaun
Co-Author
Devereux, Timothy
Johnson, Stephanie
Woodgate, William
Funder
University of Queensland
CSIRO Environment
Terrestrial Ecosystem Research Network
Contact Point
Devereux, Timothy
Levick, Shaun
Publisher
Terrestrial Ecosystem Research Network
Stakeholder
Silberstein, Richard
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/
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at 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