What determines variation in remotely sensed fire severity? Consideration of remote sensing limitations and confounding factors
Matthew G. Gale A * and Geoffrey J. Cary A
+ Author Affiliations
- Author Affiliations
A Fenner School of Environment & Society, Australian National University, Canberra, ACT 2600, Australia.
* Correspondence to: matthew.gale@anu.edu.au
International Journal of Wildland Fire 31(3) 291-305 https://doi.org/10.1071/WF21131
Submitted: 21 September 2021 Accepted: 2 February 2022 Published: 18 March 2022
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Analyses of the effects of topography, weather, land management, and fuel on fire severity are increasingly common, and generally apply fire severity indices derived from satellite optical remote sensing. However, these indices are commonly interpreted with insufficient appreciation for their limitations and may be inappropriately invoked as representing physical fire effects and fire behaviour. For a large wildfire in southeast Australia, we investigated three considerations for inferring robust insights from fire severity analyses – the potentially confounding influences of pre-fire vegetation height and tall vegetation cover, and the choice of fire severity response variable. Using nonparametric regression, we found that different fire severity indices gave rise to substantially different modelled relationships with commonly invoked environmental predictors, as is consistent with dissimilarities in index design. Further, pre-fire vegetation height was a strong control of fire severity, with equivalent importance to weather. Importantly, strong covariation between vegetation height and environmental predictors suggests that modelled fire severity effects are strongly influenced by variation in vertical distance between flames and vegetation, and this confounds fire behaviour insights. To enable more robust and mechanistic insights into the determinants of fire severity, we recommend greater consideration of the meaning and limitations of optical remote sensing indices.
Keywords: airborne LiDAR, ecosystems: temperate, fire behaviour, fire intensity, fire severity, remote sensing, spectral indices, vegetation cover, vegetation height.
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