Data

Robson Creek Terrestrial LiDAR, 2023

Name: Robson Creek Terrestrial LiDAR, 2023
Published: 2024

Terrestrial Ecosystem Research Network

Levick, Shaun ; Devereux, Timothy ; Woodgate, William ; Johnson, Stephanie

Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25901/3v25-9p35&rft.title=Robson Creek Terrestrial LiDAR, 2023&rft.identifier=10.25901/3v25-9p35&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This terrestrial LiDAR dataset captures detailed vegetation structural information at the Robson Creek Tropical Rainforest SuperSite within Danbulla National Park, North Queensland, 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.The 1-hectare plot underwent sampling utilizing a 10 m grid configuration employing a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) operating at 600 kHz. This dataset comprises both upright and tilted scans for 121 positions. 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.Progress Code: completedMaintenance and Update Frequency: notPlanned&rft.creator=Levick, Shaun &rft.creator=Devereux, Timothy &rft.creator=Woodgate, William &rft.creator=Johnson, Stephanie &rft.date=2024&rft.edition=1.0&rft.coverage=Robson Creek Tropical Rainforest SuperSite within Danbulla National Park, North Queensland, Australia.&rft.coverage=northlimit=-17.120902459; southlimit=-17.121440962; westlimit=145.629990509; eastLimit=145.630733664; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=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&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=FOREST COMPOSITION/VEGETATION STRUCTURE&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=VEGETATION&rft_subject=Landscape Ecology&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=Robson Creek Rainforest&rft_subject=Riegl VZ-2000i laser scanner&rft_subject=vegetation structure (Unitless)&rft_subject=Unitless&rft_subject=Point Resolution&rft_subject=one off&rft_subject=TLS&rft_subject=LiDAR&rft_subject=lidar point cloud&rft.type=dataset&rft.language=English Access the data

Download data
Terrestrial LiDAR Scan Robson Creek... Download data
ro-crate-metadata.json

Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details

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

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

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

Access:

Open view details

unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

[email protected]

Brief description

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Robson Creek Tropical Rainforest SuperSite within Danbulla National Park, North Queensland, 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.

Lineage

The 1-hectare plot underwent sampling utilizing a 10 m grid configuration employing a Riegl VZ-2000i Terrestrial Laser Scanner (TLS) operating at 600 kHz. This dataset comprises both upright and tilted scans for 121 positions.
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.

Progress Code: completed

Maintenance and Update Frequency: notPlanned

Notes

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).
TERN Robson Creek SuperSite is managed by James Cook University and is located within the Wet Tropics World Heritage Area administered by the Wet Tropics Management Authority.

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

Created: 2023-06-19

Issued: 2024-07-04

Modified: 2025-12-15

Data time period: 2023-06-19 to 2023-06-22

This dataset is part of a larger collection

Click to explore relationships graph

text: Robson Creek Tropical Rainforest SuperSite within Danbulla National Park, North Queensland, Australia.

Subjects

User Contributed Tags

Other Information

Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f9a5a8ed-cfda-44cd-b025-dcc34ed643c0 External Link

Identifiers

URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f9a5a8ed-cfda-44cd-b025-dcc34ed643c0
global : f9a5a8ed-cfda-44cd-b025-dcc34ed643c0