An assessment of pre- and post fire near surface fuel hazard in an Australian dry sclerophyll forest using point cloud data captured using a terrestrial laser scanner

Wallace, L, Gupta, V, Reinke, K and Jones, S 2016, 'An assessment of pre- and post fire near surface fuel hazard in an Australian dry sclerophyll forest using point cloud data captured using a terrestrial laser scanner', Remote Sensing, vol. 8, no. 8, 679, pp. 1-14.


Document type: Journal Article
Collection: Journal Articles

Attached Files
Name Description MIMEType Size
n2006066355.pdf Published Version application/pdf 2.55MB
Title An assessment of pre- and post fire near surface fuel hazard in an Australian dry sclerophyll forest using point cloud data captured using a terrestrial laser scanner
Author(s) Wallace, L
Gupta, V
Reinke, K
Jones, S
Year 2016
Journal name Remote Sensing
Volume number 8
Issue number 8
Article Number 679
Start page 1
End page 14
Total pages 14
Publisher MDPI
Abstract Assessment of ecological and structrual changes induced by fire events is important for understanding the effects of fire, and planning future ecological and risk mitigation strategies. This study employs Terrestrial Laser Scanning (TLS) data captured at multiple points in time to monitor the changes in a dry sclerophyll forest induced by a prescribed burn. Point cloud data was collected for two plots; one plot undergoing a fire treatment, and the second plot remaining untreated, thereby acting as the control. Data was collected at three epochs (pre-fire, two weeks post fire and two years post fire). Coregistration of these multitemporal point clouds to within an acceptable tolerance was achieved through a two step process utilising permanent infield markers and manually extracted stem objects as reference targets. Metrics describing fuel height and fuel fragmentation were extracted from the point clouds for direct comparison with industry standard visual assessments. Measurements describing the change (or lack thereof) in the control plot indicate that the method of data capture and coregistration were achieved with the required accuracy to monitor fire induced change. Results from the fire affected plot show that immediately post fire 67% of area had been burnt with the average fuel height decreasing from 0.33 to 0.13 m. At two years post-fire the fuel remained signicantly lower (0.11 m) and more fragmented in comparison to pre-fire levels. Results in both the control and fire altered plot were comparable to synchronus onground visual assessment. The advantage of TLS over the visual assessment method is, however, demonstrated through the use of two physical and spatially quantifiable metrics to describe fuel change. These results highlight the capabilities of multitemporal TLS data for measuring and mapping changes in the three dimensional structure of vegetation. Metrics from point clouds can be derived to provide quantified estimates of surface and near-surface
Subject Photogrammetry and Remote Sensing
Forestry Fire Management
Keyword(s) Fire severity
Terrestrial laser scanning (TLS)
Fuel hazard
Multi-temporal analysis
Fuel-reduction
Prescribed burn
DOI - identifier 10.3390/rs8080679
Copyright notice © 2016 by the authors; licensee MDPI, Basel, Switzerland. Creative Commons Attribution (CC-BY) license
ISSN 2072-4292
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 192 Abstract Views, 11 File Downloads  -  Detailed Statistics
Created: Wed, 07 Sep 2016, 07:54:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us