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Evaluating the Mid-Infrared Bi-spectral Index for improved assessment of low-severity fire effects in a conifer forest

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T. Ryan McCarley, Alistair M. S. Smith, Crystal A. Kolden, and Jason Kreitler, Evaluating the Mid-Infrared Bi-spectral Index for improved assessment of low-severity fire effects in a conifer forest: International Journal of Wildland Fire, v. 27, iss. 6.

Summary

Abstract (from CSIRO): Remote sensing products provide a vital understanding of wildfire effects across a landscape, but detection and delineation of low- and mixed-severity fire remain difficult. Although data provided by the Monitoring Trends in Burn Severity (MTBS) project are frequently used to assess severity in the United States, alternative indices can offer improvement in the measurement of low-severity fire effects and would be beneficial for future product development and adoption. This research note evaluated one such alternative, the Mid-Infrared Bi-Spectral Index (MIRBI), which was developed in savannah ecosystems to isolate spectral changes caused by burning and reduce noise from other factors. MIRBI, differenced MIRBI [...]

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  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

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Drought, Fire and Extreme Weather
Landscapes
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NCCWSC Science Themes
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Citation Extension

citationTypeJournal Article
journalInternational Journal of Wildland Fire
parts
typevolume
value27
typeissue
value6
typePage
value407-412
typedoi
value10.1071/WF17137
typeissn
value1448-5516

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