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Cumberland Plain Terrestrial LiDAR, 2022

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Cumblerland Plain Woodland SuperSite in Western Sydney, 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.

Simple

Identification info

Date (Creation)
2022-05-10
Date (Publication)
2024-07-04
Date (Revision)
2025-12-11
Edition
1.0

Identifier

Title
DataCite
Code
doi:10.25901/bax1-cc06
Codespace
http://dx.doi.org

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

CSIRO Environment - Levick, Shaun ()
Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia

Co-author

University of Queensland - Devereux, Timothy ()
Chancellors Place, St Lucia, Queensland, 4072, Australia
St Lucia
Queensland
4072
Australia

Stakeholder

Western Sydney University - Pendall, Elise (Theme Leader Soil Biology and Genomics)
Bourke Street, Richmond, 2753, New South Wales, Australia
Richmond
New South Wales
2753
Australia

Funder

Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia

Funder

CSIRO Environment
Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia

Funder

University of Queensland
Chancellors Place, St Lucia, Queensland, 4072, Australia
St Lucia
Queensland
4072
Australia
Website
https://www.tern.org.au/

Purpose
Terrestrial LiDAR measurements can be used to assess vegetation structure, create 3D reconstructions, and perform terrain surface analysis.
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.
Credit
<p></p>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).</br> Cumberland Plain flux station is managed by the Hawkesbury Institute for the Environment at Western Sydney University and was funded by the Education Investment Fund and TERN.
Status
Completed

Point of contact

University of Queensland - Devereux, Timothy ()
Chancellors Place, St Lucia, Queensland, 4072, Australia
Chancellors Place
St Lucia
Queensland
4072
Australia

Point of contact

CSIRO Environment - Levick, Shaun ()
Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Clunies Ross Street
Black Mountain
Australian Capital Territory
2601
Australia
Topic category
  • Environment

Extent

Description
Cumblerland Plain Woodland SuperSite in Western Sydney, Australia.
N
S
E
W


Temporal extent

Time period
2022-05-10 2022-05-12
Maintenance and update frequency
Not planned
GCMD Science Keywords
  • FOREST COMPOSITION/VEGETATION STRUCTURE
ANZSRC Fields of Research
  • Landscape ecology
TERN Platform Vocabulary
  • Cumberland Plain
TERN Instrument Vocabulary
  • Riegl VZ-2000i laser scanner
TERN Parameter Vocabulary
  • vegetation structure
  • Unitless
QUDT Units of Measure
  • Unitless
GCMD Horizontal Resolution Ranges
  • Point Resolution
GCMD Temporal Resolution Ranges
  • one off
Keywords (Discipline)
  • TLS
  • LiDAR
  • lidar point cloud

Resource constraints

Use limitation
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/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
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. <br />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. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Other constraints
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification
Unclassified

Distribution Information

Distribution format

Distributor

Distributor

Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
OnLine resource
Terrestrial LiDAR Scan Cumberland Plain 2022

OnLine resource
ro-crate-metadata.json

Resource lineage

Statement
The 1-hectare plot underwent sampling utilizing a 20&nbsp;m grid configuration employing a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) operating at 600&nbsp;kHz. This dataset comprises 36 scans captured within the 1-hectare grid and 18 external.<br> 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&nbsp;m was attained.<br> 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 56S) and local coordinate systems.
Hierarchy level
Dataset

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/401ffa68-3a75-496a-a202-fdfd7d36c9f1

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/401ffa68-3a75-496a-a202-fdfd7d36c9f1

Point-of-truth metadata URL

Date info (Creation)
2023-06-05T00:00:00.000000+00:00
Date info (Revision)
2025-12-11T22:57:30.722805+00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
Landscape ecology
GCMD Science Keywords
FOREST COMPOSITION/VEGETATION STRUCTURE

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Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


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