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Terrestrial laser scans - Riegl VZ400, individual tree point clouds and cylinder models, Rushworth Forest 

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-10-31
Viewed 32721 times
Accessed 951 times
Dataset Created: 2012-05-04
Dataset Published: 2014-09-23
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPIndividual tree cylinder models: RUSH07HTTPIndividual tree point clouds: RUSH07HTTPRaw instrument files: RUSH07HTTPIndividual tree cylinder models: RUSH06HTTPIndividual tree point clouds: RUSH06HTTPRaw instrument files: RUSH06HTTPData naming conventionHTTPro-crate-metadata.json
How to cite this collection:
Calders, K. (2014). Terrestrial laser scans - Riegl VZ400, individual tree point clouds and cylinder models, Rushworth Forest. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.4227/05/542B766D5D00D 
Terrestrial laser scans were acquired in native Eucalypt Open Forest (dry sclerophyll Box-Ironbark forest) in Victoria, Australia. Two plots (RUSH06 and RUSH07) with a 40 m radius were established in Rushworth forest and partially harvested in May 2012 to acquire accurate estimates of above-ground biomass. The main tree species in these plots were Eucalyptus leucoxylon, Eucalyptus microcarpa and Eucalyptus tricarpa. Single trees were extracted from the TLS data and quantitative structure models were used to estimate the tree volume directly from the point cloud data. Above-ground biomass (AGB) was inferred from the derived volumes and basic wood density information, and compared with estimates of above-ground biomass derived from allometric equations and destructive sampling. See Calders et al. (2014) and Murphy et al. (2014) for further information. 
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 is supported by:
  1. Wageningen University, Netherlands
  2. CSIRO Land and Water
  3. Department of Geography, University College London
  4. School of Land and Environment, University of Melbourne
  5. Department of Mathematics, Tampere University of Technology
  6. Environmental Sensing Systems, Melbourne
  7. Remote Sensing Centre, Queensland Department of Science, Information Technology, Innovation and the Arts
  8. Joint Remote Sensing Research Program, University of Queensland
  9. Terrestrial Ecosystem Research Network (TERN)
 
Purpose
TLS measurements can be used for applications requiring quantification of vegetation structure parameters, tree and stand reconstruction, and terrain analysis. 
Lineage
Data was collected at five sampling points in a plot using a cross sampling protocol. To operate the scanner must necessarily be placed in a gap, so any deviations from the nominal sampling location illustration below are outlined in the associated shapefile/KMZ file for this data set. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Rushworth forest, Victoria, Australia
Temporal Coverage
From 2012-05-04 to 2012-05-04 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
The quality of point clouds and derived cylinder model are dependent on registration accuracy. Reflecting targets were distributed throughout the plot and were used to register the scan locations using the Riegl RiSCAN PRO software. The average standard deviation of the registered point clouds was 0.0129 m with values for individual scans ranging from 0.0062 m to 0.0226 m. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
AGB estimates derived from TLS show a high agreement with the reference values from destructive sampling, with a concordance correlation coefficient (CCC) of 0.98. The agreement between AGB estimates from allometric equations and the reference is lower (CCC = 0.68 to 0.78). The TLS approach shows a total AGB overestimation of 9.68% compared to an underestimation of 36.57% to 29.85% for the allometric equations. 
ANZSRC - FOR
Ecological applications
GCMD Sciences
BIOSPHERE - BIOMASS
Horizontal Resolution
30 meters - < 100 meters
Instruments
Riegl VZ-400 laser scanner
Parameters
lidar point cloud
standing volume
Temporal Resolution
Daily - < Weekly
Topic
environment
User Defined
vegetation carbon content
Author
Calders, Kim
Contact Point
Calders, Kim
Publisher
Terrestrial Ecosystem Research Network
Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., Culvenor, D., Avitabile, V., Disney, M., Armston, J. and Kaasalainen, M. (2014) Non-destructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution, 6(2): 198-208.
Murphy, S., Bi, H., Volkova, L., Weston, C., Madhavan, D., Krishnaraj, S.J., Fairman, T., and Law, R. 2014. Comprehensive Carbon Assessment Program (CCAP). Validating above-ground carbon estimates of eucalypt dominated forest in Victoria. Final report to Victorian Centre for Climate Change Adaptation Research (VCCCAR) and the Department of Environment and Primary Industries (DEPI)
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