Gingin Banksia Woodland Terrestrial LiDAR, 2021
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.
Simple
Identification info
- Date (Creation)
- 2021-09-03
- Date (Publication)
- 2024-07-15
- Date (Revision)
- 2024-09-23
- Edition
- 1.0
Identifier
Publisher
Author
CSIRO Environment - Levick, Shaun ()
Building 101, 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
Co-author
CSIRO Environment - Johnson, Stephanie ()
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Co-author
University of Queensland - Woodgate, William (Research Fellow)
Chancellors Place, St Lucia, Queensland, 4072, Australia
St Lucia
Queensland
4072
Australia
Stakeholder
Edith Cowan University - Silberstein, Richard (Associate Professor)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
Joondalup
Western Australia
6027
Australia
Funder
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
Funder
CSIRO Environment
Building 101, 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> 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.
- 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 ()
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Building 101, Clunies Ross Street
Black Mountain
Australian Capital Territory
2601
Australia
- Topic category
-
- Environment
Extent
- Description
- Gingin Banksia Woodland SuperSite on the Swan Coastal Plain, approximately 80km north of Perth, Western Australia.
N
S
E
W
))
Temporal extent
- Time period
- 2021-09-03 2021-09-03
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- TLS
- LiDAR
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
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 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
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- Terrestrial LiDAR Scan Gingin 2021
- OnLine resource
- ro-crate-metadata.json
Resource lineage
- Statement
- 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.<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 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 50S) 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/99c0d855-3ea1-4973-82ae-87045719818e
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/99c0d855-3ea1-4973-82ae-87045719818e
Point-of-truth metadata URL
- Date info (Creation)
- 2023-06-05T00:00:00
- Date info (Revision)
- 2024-09-23T00:00:00
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
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available