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Figure 1: TLS point cloud and cylinder model for an individual Eucalyptus leucoxylon tree (RUSH07: TreeID 4)
Descriptor | Data link | Layer name |
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Dataset digital object identifier (DOI) | http://dx.doi.org/10.4227/05/542B766D5D00D | |
Persistent URL | http://www.auscover.org.au/purl/tls-tree-models-rushworth | |
GeoNetwork record | http://www.auscover.org.au/geonetwork?uuid=cef48e31-a355-449b-9b5a-2e0eac0e0e49 | |
Shapefile of scan details | Not Available Yet | |
KMZ of scan details | Not Available Yet | |
Individual tree point clouds | RUSH06 RUSH07 | |
Individual tree cylinder models | RUSH06 RUSH07 | |
Raw instrument files | RUSH06 RUSH07 |
Item | Detail |
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Rights | Copyright August 2014 Wageningen University, Netherlands. Rights owned by Wageningen University, Netherlands. Rights licensed subject to Creative Commons Attribution (CC BY). |
Licence | Creative Commons Attribution 3.0 License, http://creativecommons.org/licenses/by/3.0. |
Access | These data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required as described at http://www.auscover.org.au/citation. We ask that you send us citations and copies of publications arising from work that use these data. |
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 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.
Item | Detail |
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Spatial resolution (metres) | 40m radius |
Spatial coverage (degrees) | RUSH06: 145.01655E 36.76013695S RUSH07: 145.0159649E 36.7588916S |
Temporal resolution | 1 day |
Temporal coverage | 2012-05-04 |
Sensor & platform | Riegl VZ400 Terrestrial Laser Scanner |
Item | Detail |
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Spatial representation type | Vector |
Spatial reference system | WGS 84 |
Item | Detail |
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Name | Kim Calders |
Organisation | National Physical Laboratory, UK |
Position | Post-doctoral researcher |
kim.calders@npl.co.uk | |
Role | Author |
Thesauri | Keyword |
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GCMD | EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS |
CF | vegetation_carbon_content |
FoR | Environmental Sciences > Ecological Applications = 0501 |
There are three main thesauri that AusCover recommends:
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.
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.
Data was collected at five sampling points in a plot using a cross sampling protocol, as illustrated in Figure 2 below. 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.
Figure 2: Sampling design for terrestrial laser scans at RUSH06 and RUSH07.
gpv1_[plotname]_[treeID]_pts.txt
gpv1:
sensor category (gp): ground LiDAR
instrument (v1): Riegl VZ400
gpv1_[plotname]_[treeID]_[numberOfRun]_cylmodel.txt
gpv1:
sensor category (gp): ground LiDAR
instrument (v1): Riegl VZ400
COLUMN 1: x[m]
COLUMN 2: y[m]
COLUMN 3: z[m]
The coordinate system is oriented to true north and relative to the centre of the plot (0,0,0).
COLUMN 1: Radii of the cylinders
COLUMN 2: Lengths of the cylinders
COLUMN 3: Starting points of the cylinders, x-coordinate
COLUMN 4: Starting points of the cylinders, y-coord
COLUMN 5: Starting points of the cylinders, z-coord
COLUMN 6: Axes of the cylinders, x-component
COLUMN 7: Axes of the cylinders, y-comp
COLUMN 8: Axes of the cylinders, z-comp
COLUMN 9: Parent cylinder of each cylinder
COLUMN 10: Extension cylinder of each cylinder
COLUMN 11: Branch of the cylinders
COLUMN 12: Branch order of the cylinders
COLUMN 13: Running index of the cylinders in the branch (1 = base)
COLUMN 14: Logical vector indicating cylinders that are added to fill gaps
The coordinate system is oriented to true north and relative to the centre of the plot (0,0,0).
Item | Product link |
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TERN Auscover Riegl VZ400 Terrestrial Laser Scans at Australian field sites | TLS Products |
Item | Detail or link |
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Publication | Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., Culvenor, D., Avitabile, V., Disney, M., Armston, J. and Kaasalainen, M. (2015) Non-destructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution, 6(2): 198-208. |
Report | 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). http://www.vcccar.org.au/publication/final-report/comprehensive-carbon-assessment-program |
Version label | Detail |
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1.0 | Initial release |
Date | Detail |
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2014-09-23 | Metadata creation date |