Assessing metrics for estimating fire induced change in the forest understorey structure using terrestrial laser scanning

Gupta, V, Reinke, K, Jones, S, Wallace, L and Holden, L 2015, 'Assessing metrics for estimating fire induced change in the forest understorey structure using terrestrial laser scanning', Remote Sensing, vol. 7, pp. 8180-8201.


Document type: Journal Article
Collection: Journal Articles

Title Assessing metrics for estimating fire induced change in the forest understorey structure using terrestrial laser scanning
Author(s) Gupta, V
Reinke, K
Jones, S
Wallace, L
Holden, L
Year 2015
Journal name Remote Sensing
Volume number 7
Start page 8180
End page 8201
Total pages 22
Publisher MDPI AG
Abstract Quantifying post-fire effects in a forested landscape is important to ascertain burn severity, ecosystem recovery and post-fire hazard assessments and mitigation planning. Reporting of such post-fire effects assumes significance in fire-prone countries such as USA, Australia, Spain, Greece and Portugal where prescribed burns are routinely carried out. This paper describes the use of Terrestrial Laser Scanning (TLS) to estimate and map change in the forest understorey following a prescribed burn. Eighteen descriptive metrics are derived from bi-temporal TLS which are used to analyse and visualise change in a control and fire-altered plot. Metrics derived are Above Ground Height-based (AGH) percentiles and heights, point count and mean intensity. Metrics such as AGH50change, mean AGHchange and point countchange are sensitive enough to detect subtle fire-induced change (28%-52%) whilst observing little or no change in the control plot (0-4%). A qualitative examination with field measurements of the spatial distribution of burnt areas and percentage area burnt also show similar patterns. This study is novel in that it examines the behaviour of TLS metrics for estimating and mapping fire induced change in understorey structure in a single-scan mode with a minimal fixed reference system. Further, the TLS-derived metrics can be used to produce high resolution maps of change in the understorey landscape.
Subject Photogrammetry and Remote Sensing
Keyword(s) terrestrial LiDAR
change detection
understorey
prescribed burns
terrestrial laser scanning
single-scan
LiDAR metrics
DOI - identifier 10.3390/rs70608180
Copyright notice © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
ISSN 2072-4292
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