Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): E. Louise Loudermilk; Gary L. Achtemeier; Joseph J. O'Brien; J. Kevin Hiers; Benjamin S. Hornsby
    Date: 2014
    Source: International Journal of Wildland Fire 23(7): 1016-1026
    Publication Series: Scientific Journal (JRNL)
    Station: Southern Research Station
    PDF: Download Publication  (1.05 MB)

    Description

    In ecosystems with frequent surface fires, fire and fuel heterogeneity at relevant scales have been largely ignored. This could be because complete burns give an impression of homogeneity, or due to the difficulty in capturing fine-scale variation in fuel characteristics and fire behaviour. Fire movement between patches of fuel can have implications for modelling fire spread and understanding ecological effects. We collected high resolution (0.80x0.8-cm pixels) visual and thermal imaging data during fire passage over 4x4-m plots of mixed fuel beds consisting of pine litter and grass during two prescribed burns within the longleaf pine forests of Eglin Air Force Base, FL in February 2011. Fuel types were identified by passing multi-spectral digital images through a colour recognition algorithm in ‘Rabbit Rules,’ an experimental coupled fire-atmosphere fire spread model. Image fuel types were validated against field fuel types. Relationships between fuel characteristics and fire behaviour measurements at multiple resolutions (0.8x0.8 cm to 33x33 cm) were analysed using a regression tree approach. There were strong relationships between fire behaviour and fuels, especially at the 33x33-cm scale (R2=0.40-0.69), where image-to-image overlap error was reduced and fuels were well characterised. Distinct signatures were found for individual and coupled fuel types for determining fire behaviour, illustrating the importance of understanding fire-fuel heterogeneity at fine-scales. Simulating fire spread at this fine-scale may be critical for understanding fire effects, such as understorey plant community assembly.

    Publication Notes

    • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Loudermilk, E. Louise; Achtemeier, Gary L.; O'Brien, Joseph J.; Hiers, J. Kevin; Hornsby, Benjamin S. 2014. High-resolution observations of combustion in heterogeneous surface fuels. International Journal of Wildland Fire, 23(7): 1016-1026. 11p. http://dx.doi.org/10.1071/WF13160

    Cited

    Google Scholar

    Keywords

    fire heterogeneity, fuel type, image recognition, IR imagery, longleaf pine, regression tree

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/49134