The development of an automated algorithm to map fire severity from satellite imagery

Andrew Craig Edwards, Stefan Maier, Lindsay Hutley, Richard J Williams, Jeremy Russell-Smith

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    Abstract

    Fire severity is the post-fire effect of fire on the vegetation. The fire severity mapping
    algorithm developed in this study correlated helicopter-based spectra collected over a site
    using a hand held spectrometer and ground data describing the fire severity within the
    spectrometer field of view. The differenced Normalized Burn Ratio (∆NBR) quite clearly
    distinguished between severe and not-severe fires (r2 = 0.94). However, further
    discrimination into three or more classes required the development of other indices
    incorporating the region of the spectrum represented by MODIS band 6 (1628-1652 nm).
    This poses problems operationally as band 6 on Aqua is dysfunctional thus halving the
    available data.
    Original languageEnglish
    Title of host publicationProceedings of Bushfire CRC & AFAC 2011 Conference Science Day
    EditorsRP Thornton
    Place of PublicationEast Melbourne
    PublisherBushfire Cooperative Research Centre
    Pages120-128
    Number of pages9
    ISBN (Print)978-0-9806759-9-3
    Publication statusPublished - 2011
    EventBushfire CRC & AFAC 2011 Conference - Sydney
    Duration: 1 Sep 20111 Sep 2011

    Conference

    ConferenceBushfire CRC & AFAC 2011 Conference
    Period1/09/111/09/11

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    Cite this

    Edwards, A. C., Maier, S., Hutley, L., Williams, R. J., & Russell-Smith, J. (2011). The development of an automated algorithm to map fire severity from satellite imagery. In RP. Thornton (Ed.), Proceedings of Bushfire CRC & AFAC 2011 Conference Science Day (pp. 120-128). East Melbourne: Bushfire Cooperative Research Centre.