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Correction published on 11 December 2014, see Remote Sens. 2014, 6(12), 12509-12510.

Open AccessArticle
Remote Sens. 2014, 6(3), 1827-1844;

A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio

Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, USDA Forest Service, 790 East Beckwith, Missoula, MT 59801, USA
Missoula Fire Sciences Laboratory, Rocky Mountain Research Station, USDA Forest Service, 5775 Hwy 10 W, Missoula, MT 59808, USA
Author to whom correspondence should be addressed.
Received: 8 January 2014 / Revised: 17 February 2014 / Accepted: 24 February 2014 / Published: 27 February 2014
(This article belongs to the Special Issue Quantifying the Environmental Impact of Forest Fires)
PDF [1799 KB, uploaded 19 June 2014]


Satellite-inferred burn severity data have become increasingly popular over the last decade for management and research purposes. These data typically quantify spectral change between pre-and post-fire satellite images (usually Landsat). There is an active debate regarding which of the two main equations, the delta normalized burn ratio (dNBR) and its relativized form (RdNBR), is most suitable for quantifying burn severity; each has its critics. In this study, we propose and evaluate a new Landsat-based burn severity metric, the relativized burn ratio (RBR), that provides an alternative to dNBR and RdNBR. For 18 fires in the western US, we compared the performance of RBR to both dNBR and RdNBR by evaluating the agreement of these metrics with field-based burn severity measurements. Specifically, we evaluated (1) the correspondence between each metric and a continuous measure of burn severity (the composite burn index) and (2) the overall accuracy of each metric when classifying into discrete burn severity classes (i.e., unchanged, low, moderate, and high). Results indicate that RBR corresponds better to field-based measurements (average R2 among 18 fires = 0.786) than both dNBR (R2 = 0.761) and RdNBR (R2 = 0.766). Furthermore, the overall classification accuracy achieved with RBR (average among 18 fires = 70.5%) was higher than both dNBR (68.4%) and RdNBR (69.2%). Consequently, we recommend RBR as a robust alternative to both dNBR and RdNBR for measuring and classifying burn severity. View Full-Text
Keywords: burn severity; RBR; dNBR; RdNBR burn severity; RBR; dNBR; RdNBR

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Parks, S.A.; Dillon, G.K.; Miller, C. A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio. Remote Sens. 2014, 6, 1827-1844.

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