Evaluating the differenced normalized burn ratio for assessing fire severity using sentinel-2 imagery in northeast siberian larch forests

Clement J.F. Delcourt*, Alisha Combee, Brian Izbicki, Michelle C. Mack, Trofim Maximov, Roman Petrov, Brendan M. Rogers, Rebecca C. Scholten, Tatiana A. Shestakova, Dave van Wees, Sander Veraverbeke

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Fire severity is a key fire regime characteristic with high ecological and carbon cycle rele-vance. Prior studies on boreal forest fires primarily focused on mapping severity in North American boreal forests. However, the dominant tree species and their impacts on fire regimes are different between North American and Siberian boreal forests. Here, we used Sentinel-2 satellite imagery to test the potential for using the most common spectral index for assessing fire severity, the differenced Normalized Burn Ratio (dNBR), over two fire scars and 37 field plots in Northeast Siberian larch-dominated (Larix cajanderi) forests. These field plots were sampled into two different forest types: (1) dense young stands and (2) open mature stands. For this evaluation, the dNBR was compared to field measurements of the Geometrically structured Composite Burn Index (GeoCBI) and burn depth. We found a linear relationship between dNBR and GeoCBI using data from all forest types (R2 = 0.42, p < 0.001). The dNBR performed better to predict GeoCBI in open mature larch plots (R2 = 0.56, p < 0.001). The GeoCBI provides a holistic field assessment of fire severity yet is dominated by the effect of fire on vegetation. No significant relationships were found between GeoCBI compo-nents (overall and substrate stratum) and burn depth within our fires (p > 0.05 in all cases). How-ever, the dNBR showed some potential as a predictor for burn depth, especially in the dense larch forests (R2 = 0.63, p < 0.001). In line with previous studies in boreal North America, the dNBR corre-lated reasonably well with field data of aboveground fire severity and showed some skills as a predictor of burn depth. More research is needed to refine spaceborne fire severity assessments in the larch forests of Northeast Siberia, including assessments of additional fire scars and integration of dNBR with other geospatial proxies of fire severity.

Original languageEnglish
Article number2311
Pages (from-to)1-20
Number of pages20
JournalRemote Sensing
Volume13
Issue number12
DOIs
Publication statusPublished - 2 Jun 2021

Bibliographical note

Special Issue: Remote Sensing of Burnt Area.

Funding Information:
This research was funded by a Vidi grant for the project ?Fires pushing trees North? (Grant # 016.Vidi.189.070) awarded to Sander Veraverbeke by the Dutch Research Council (NWO). Brendan M. Rogers acknowledges support from the Gordon and Betty Moore Foundation (Grant #8414).

Funding Information:
Funding: This research was funded by a Vidi grant for the project “Fires pushing trees North” (Grant # 016.Vidi.189.070) awarded to Sander Veraverbeke by the Dutch Research Council (NWO). Brendan M. Rogers acknowledges support from the Gordon and Betty Moore Foundation (Grant #8414).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

This research was funded by a Vidi grant for the project ?Fires pushing trees North? (Grant # 016.Vidi.189.070) awarded to Sander Veraverbeke by the Dutch Research Council (NWO). Brendan M. Rogers acknowledges support from the Gordon and Betty Moore Foundation (Grant #8414). Funding: This research was funded by a Vidi grant for the project “Fires pushing trees North” (Grant # 016.Vidi.189.070) awarded to Sander Veraverbeke by the Dutch Research Council (NWO). Brendan M. Rogers acknowledges support from the Gordon and Betty Moore Foundation (Grant #8414).

FundersFunder number
Gordon and Betty Moore Foundation8414
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • Boreal forest
    • Burn depth
    • Composite burn index
    • Differenced normalized burn ratio
    • Fire severity
    • Larch
    • Remote sensing
    • Sen-tinel-2
    • Siberia

    Fingerprint

    Dive into the research topics of 'Evaluating the differenced normalized burn ratio for assessing fire severity using sentinel-2 imagery in northeast siberian larch forests'. Together they form a unique fingerprint.

    Cite this