Burn severity mapping using simulation modelling and satellite imageryA
Eva C. Karau A B and Robert E. Keane AA USDA Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, USA.
B Corresponding author. Email: ekarau@fs.fed.us
International Journal of Wildland Fire 19(6) 710-724 https://doi.org/10.1071/WF09018
Submitted: 12 June 2009 Accepted: 24 January 2010 Published: 17 September 2010
Abstract
Although burn severity maps derived from satellite imagery provide a landscape view of fire impacts, fire effects simulation models can provide spatial fire severity estimates and add a biotic context in which to interpret severity. In this project, we evaluated two methods of mapping burn severity in the context of rapid post-fire assessment for four wildfires in western Montana using 64 plots as field reference: (1) an image-based burn severity mapping approach using the Differenced Normalised Burn Ratio, and (2) a fire effects simulation approach using the FIREHARM model. The image-based approach was moderately correlated with percentage tree mortality but had no relationship with percentage fuel consumption, whereas the simulation approach was moderately correlated with percentage fuel consumption and weakly correlated with percentage tree mortality. Burn severity maps produced by the two approaches had mixed results among the four sampled wildfires. Both approaches had the same overall map agreement when compared with a sampled composite burn index but the approaches generated different severity maps. Though there are limitations to both approaches and more research is needed to refine methodologies, these techniques have the potential to be used synergistically to improve burn severity mapping capabilities of land managers, enabling them to quickly and effectively meet rehabilitation objectives.
Additional keywords: differenced normalised burn ratio, fire effects.
Acknowledgements
This effort was funded by the Joint Fire Sciences Program Agreement 05-1-1-12. We thank Jason Herynk, of Systems for Environmental Management, and Stacy Drury, Violet Holley, Greg Cohn, Curtis Johnson, Jhen Rawling and Signe Leirfallom, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. We also thank the anonymous reviewers whose comments and suggestions greatly improved the manuscript.
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A The use of trade or firm names in this paper is for reader information and does not imply endorsement by the US Department of Agriculture of any product or service. This paper was partly written and prepared by US Government employees on official time, and therefore is in the public domain and not subject to copyright in the USA.