Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index
Colton W. Miller
A B * , Brian J. Harvey A , Van R. Kane A , L. Monika Moskal A and Ernesto Alvarado A
+ Author Affiliations
- Author Affiliations
A School of Environmental and Forest Sciences, College of the Environment, University of Washington, Box 352100, Seattle, WA 98195, USA.
B Present address: Vibrant Planet, PBC, Pioneer Commerce Center 11025 Pioneer Trail, Suite 200a, Truckee, CA 96161, USA.
* Correspondence to: cwm4@uw.edu
International Journal of Wildland Fire 32(4) 449-475 https://doi.org/10.1071/WF22050
Submitted: 11 April 2022 Accepted: 23 December 2022 Published: 7 February 2023
© 2023 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 4.0 International License (CC BY).
Abstract
The Composite Burn Index (CBI) is commonly linked to remotely sensed data to understand spatial and temporal patterns of burn severity. However, a comprehensive understanding of the tradeoffs between different methods used to model CBI with remotely sensed data is lacking. To help understand the current state of the science, provide a blueprint towards conducting broad-scale meta-analyses, and identify key decision points and potential rationale, we conducted a review of studies that linked remotely sensed data to continuous estimates of burn severity measured with the CBI and related methods. We provide a roadmap of the different methodologies applied and examine potential rationales used to justify them. Our findings largely reflect methods applied in North America – particularly in the western USA – due to the high number of studies in that region. We find the use of different methods across studies introduces variations that make it difficult to compare outcomes. Additionally, the existing suite of comparative studies focuses on one or few of many possible sources of uncertainty. Thus, compounding error and propagation throughout the many decisions made during analysis is not well understood. Finally, we suggest a broad set of methodological information and key rationales for decision-making that could facilitate future reviews.
Keywords: burn severity, CBI, Composite Burn Index, dNBR, dNDVI, fire severity, GeoCBI, landsat imagery, NBR, NDVI, RdNBR, remote sensing, spectral index.
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