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Product pages » Terrestrial laser scans - Riegl VZ400, raw instrument files and ancillary data, Australian field sites

Terrestrial laser scans - Riegl VZ400, raw instrument files and ancillary data, Australian field sites

Last modified by Bec Trevithick on 2017/01/10 16:21

Terrestrial laser scans - Riegl VZ400, raw instrument files and ancillary data, Australian field sites

gold0101_rhoapp.jpggold0101_range.jpg

Figure 1: Apparent reflectance (left) and range (right) hemispherical images from Riegl VZ400 scans at the Queensland DSITIA GOLD0101 long-term monitoring plot.

Link to Data

DescriptorData linkLayer name
Persistent URLhttp://www.auscover.org.au/purl/tls-riegl-qa-all-sites
GeoNetwork recordNot available yet
Data Portal (in Development)http://qld.auscover.org.au/public/html/field

Data licence and Access rights

ItemDetail
RightsCopyright 2010-2020. JRSRP. Rights owned by the Joint Remote Sensing Research Program (JRSRP). Rights licensed subject to Creative Commons Attribution (CC BY).
LicenceCreative Commons Attribution 3.0 License, http://creativecommons.org/licenses/by/4.0.
AccessThese 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.

Abstract

Ground lidar, also known as Terrestrial Laser Scanning (TLS), is a ranging instrument that provides detailed 3D measurements directly related to the quantity and distribution of plant materials in the canopy. Measurements can be used for applications requiring quantification of vegetation structure parameters, tree and stand reconstruction, and terrain analysis.

Scans have been collected in Australia using two Riegl VZ400 waveform recording TLS instruments. One is co-owned and operated by the Remote Sensing Centre, Queensland Department of Science, Information Technology, Innovation and the Arts (DSITIA) and the TERN Auscover Brisbane Node, University of Queensland. The second is owned and operated by Wageningen University, Netherlands.

An automated TLS processing system has been developed by the Remote Sensing Centre, Queensland Department of Science, Information Technology, Innovation, and the Arts (DSITIA) using the Riegl RiVLib and RiWaveLib C++ libraries and the Sorted Pulse Data Library (SPDLib; Bunting et al., 2013b). Data is made available in published open standards including compress LAS format (LAZ; ASPRS, 2010) and the HDF-5 Sorted Pulse Data format (SPD; Bunting et al., 2013a).

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)30 m radius
Spatial coverage (degrees)110.000000 to 155.001329 E, -10.000000 to -45.000512 N
Temporal resolution1 day
Temporal coverage2012-09-29, ongoing
InstrumentTerrestrial laser scanner
ItemDetail
Spatial representation typevector - point
Spatial reference systemWGS 84

Point of contact

ItemDetail
NameJohn Armston
OrganisationRemote Sensing Centre - Qld Department of Science, Information Technology and Innovation (DSITI)
PositionSenior Scientist
Emailjohn.armston@qld.gov.au
RolepointOfContact
AddressRemote Sensing Centre, DSITI, EcoSciences Precinct
Telephone(07) 3170 5665

Credit

The following organisations contributed to the data collection:

  • Joint Remote Sensing Research Program
  • University of Wageningen
  • University of Adelaide (Ausplots)
  • CSIRO

Keywords

ThesauriKeyword
GCMDEARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER
CFvegetation_area_fraction
FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (http://gcmd.nasa.gov)
  2. Climate and Forecast (CF) convention standard names (http://cfconventions.org/standard-names.html).
  3. Fields of Research codes (http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E?opendocument).

Data quality

Validation status

There has been no absolute validation of biophysical products produced from the Riegl VZ400 in Australian Ecosystems. An exception is Calders et al. (2014), who found that estimates of canopy height from the Riegl VZ400 were within x% of estimates from airborne lidar across five sites ranging from open woodland to closed forest. A large area validation of these parameters is forthcoming for estimates of stem diameter, stand basal area, and canopy height as part of the TERN Wide Synthesis B project. 

In a comparison of commercial TLS instruments in Brisbane, Newnham et al. (2012) found PAVD profiles from a Riegl VZ1000 detected more material present in the upper canopy compared to a FARO Focus-3D, Leica C-10, and Leica HDS5000. Estimates were also stable across different pulse angular spacing, a result replicated by Calders et al. (in review). Newnham et al. (2012) also found that PAVD profiles were within x% of theoretical profiles generated from field measurement.

Further comparisons of ground lidar instrumentation and algorithms are being undertaken through the Terrestrial Laser Scanning International Interest Group (TLSIIG; http://tlsiig.bu.edu). See Armston et al. (2013) for further information.

Related products

ItemProduct link
SLATS star transectSLATS Star Transect Data
Leaf area index (LAI)Not Available Yet
Hemispherical photographyHemispherical Photography

References

Armston, J., Newnham, G, Strahler, A., Schaaf, C., Danson, M., Gaulton, R., Zhang, Z., Disney, M., Sparrow, B., Phinn, S., Schaefer, M., Burt, A., Counter, S., Erb, A., Goodwin, N., Hancock, S., Howe, G., Johansen, K., Li, A., Lollback, G., Martle, J., Muir, J., Paynter, I., Saenz, E., Scarth, P., Tindall, D., Walker, L., Witte, C., Woodgate, W., Wu, D. 2013. Intercomparison of terrestrial laser scanning instruments for assessing forested ecosystems: A Brisbane field experiment. AGU 2013 Fall Abstracts.

Bunting, P., Armston, J., Lucas, R., Clewley, D., 2013a. Sorted pulse data (SPD) library. Part I: A generic file format for lidar data from pulsed laser systems in terrestrial environments. Computers & Geosciences, 56: 197-206.

Bunting, P., Armston, J., Clewley, D., Lucas, R., 2013b. Sorted pulse data (SPD) library. Part II: A processing framework for lidar data from pulsed laser systems in terrestrial environments. Computers & Geosciences, 56: 207-215.

Calders, K., Armston, J., Newnham, G. Herold, M., Goodwin, N. In review.  Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR. Agricultural and Forest Meteorology.

Newnham, G., Armston, J., Muir, J., Goodwin, N., Culvenor, D., Pusche, P., Nystrom, M., Johansen, K., 2012. Evaluation of terrestrial laser scanners for measuring vegetation structure. CSIRO Sustainable Agriculture Flagship, available on https://publications.csiro.au/rpr/pub?pid=csiro:EP124571.

ItemDetail or link
Publication
Validation report
Online infoField data collection protocol

Sampling strategy

Data is collected at one or more sampling points at a plot, depending on the protocol. There are currently five separate sampling protocols used for ground lidar acquisition. The sampling design for each protocol with multiple scan positions are illustrated below. The specific protocol used and deviations from this strategy are outlined in the associated shapefile/KMZ file for this data set.

  1. Plot centre (single scan)
  2. Star transect (four scans)
  3. Cross 40m (five scans)
  4. Cross 25m (five scans)
  5. Square (five scans)

tls_sampling_protocols.png

When a scan position was established, the scanner was set-up as follows:

  1. There must be no material within 1.5 m range of the scanner. The scan position should be moved a short distance if necessary.
  2. The nominal height above ground of the scanner is typically 1.6 m. Scanner height is determined from the measured data.

Product version history

Version labelDetail
1.0Initial release

Instrument data filenaming convention

Filenames for instrument data conforms to the AusCover standard naming convention. The standard form of this convention is:

<sensor category code><instrument code><product code>_<longitude>e<latitude>s_<yyyymmdd>_<processing stage code>_<additional dataset specific tags>

Details for the unique codes used for this dataset can be found in the following table.

Data Naming ElementPossible Code(s)Descriptor
Standard Elements

     
sensor categorygpground lidar
instrumentv1Riegl vz400
productwfwaveform
processing stageaa0   
aa1
aa2
raw instrument data (sensor coordinate system)
registered data (project coordinate system)
registered data with waveforms and photo RGB data
data projectionf0     
f1
f2
f3
Time sequential
Scan line/sample
Cartesian
Spherical

Shapefile/KMZ file attribute metadata

FieldDescription (units)Format
supersiteAusCover calibration/validation siteText
collectionCode in naming convention –see instrument filenaming convention for detailsText
instumentCode in naming convention –see instrument filenaming convention for detailsText
productCode in naming convention –see instrument filenaming convention for det
ails
Text
sceneIdentifier for plot location given in longitude latitude combinationText
obs_timeDate and time of scan collectionDate/Time Stamp
scan_azimuthAzimuth of transect from plot centre to scan collection point in degrees from north (degrees)Integer
height_baseHeight from base of scanner plate (cm)Integer
height_optical_centreHeight optical centre of scanner plate (cm)Integer
battery_onYes/no categorical field whether battery is on scanner, as this affe
cts height measurements
Text
reflect_distance_nDistance to reflector on north transect, if exists (m)Float
reflect_sizeReflector diameter (mm)Integer
project_nameProject root name as recorded in scannerText
obs_keyUniqe identifier for site visit for data management purposesText
idId for data management purposesInteger
reflect_foundNumber of reflectors scan foundInteger
tilt_angleTilt angle of scanner (0 for ??, ??) (degrees)Integer
no_reflectTotal number of reflectors deployed
scan_distanceDistance to scanner along transect running from plot centre to sc
anner location (m)
Float
reflect_distance_sDistance to reflector on north transect, if exists (m)Float
reflect_distance_eDistance to reflector on north transect, if exists (m)Float
reflect_distance_wDistance to reflector on north transect, if exists (m)Float
reflect_distance_neDistance to reflector on north transect, if exists (m)Float
reflect_distance_seDistance to reflector on north transect, if exists (m)Float
reflect_distance_swDistance to reflector on north transect, if exists (m)Float
reflect_distance_nwDistance to reflector on north transect, if exists (m)Float
live_basal_areaBasal area estimate obtained via basal area sweep for live trees only (km/m^2)Float
total_basal_areaBasal area estimate obtained via basal area sweep for live trees only (kg/m^2)Float

Metadata history

DateDetail
2013-09-13Metadata creation date
Tags:
Created by Bec Trevithick on 2013/03/13 17:26

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