Predicting post-fire canopy mortality in the boreal forest from dNBR derived from time series of Landsat data
Ignacio San-Miguel A C , David W. Andison B , Nicholas C. Coops A and Gregory J. M. Rickbeil AA Integrated Remote Sensing Studio, Department of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
B Bandaloop Landscape-Ecosystem Services, 1011 Hendecourt Road, North Vancouver, BC, V7K 2X3, Canada.
C Corresponding author. Email: ignacio.sanmiguel@alumni.ubc.ca
International Journal of Wildland Fire 25(7) 762-774 https://doi.org/10.1071/WF15226
Submitted: 25 September 2015 Accepted: 21 March 2016 Published: 16 May 2016
Abstract
Regulatory and certification agencies need historical fire pattern information across the Canadian boreal forest to support natural disturbance-based management. Landsat-derived spectral indices have been used extensively to map burn severity in North America. However, satellite-derived burn severity is difficult to define and quantify, and relies heavily on ground truth data for validation, which hinders fire pattern analysis over broad scales. It is therefore critical to translate burn severity estimates into more quantifiable measurements of post-fire conditions and to provide more cost-effective methods to derive validation data. We assessed the degree to which Landsat-derived indices and ancillary data can be used to classify canopy mortality for 10 fires in the boreal forest of Alberta and Saskatchewan, Canada. Models based on two and three mortality classes had overall accuracies of 91 and 72% respectively. The three-level classification has more utility for resource management, with improved accuracy at predicting unburned and complete canopy mortality classes (93 and 66%), but is relatively inaccurate for the partial mortality class (56%). The results presented here can be used to assess the suitability of different canopy mortality models for forest fire management goals, to help provide objective, consistent and cost-effective results to analyse historical fire patterns across the Canadian boreal forest.
Additional keywords: aerial-photographic interpretation, burn severity, ecosystem-based management, fire behaviour, fire patterns, historical range of variability, tasselled cap transformation.
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