Skip to Main Content
Evaluation of linear spectral unmixing and deltaNBR for predicting post-fire recovery in a North American ponderosa pine forestAuthor(s): A. M. S. Smith; L. B. Lenilte; A. T. Hudak; P. Morgan
Source: International Journal of Remote Sensing. 28(22): 5159-5166.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: View PDF (432.29 KB)
DescriptionThe Differenced Normalized Burn Ratio (deltaNBR) is widely used to map post-fire effects in North America from multispectral satellite imagery, but has not been rigorously validated across the great diversity in vegetation types. The importance of these maps to fire rehabilitation crews highlights the need for continued assessment of alternative remote sensing approaches. To meet this need, this study presents a first preliminary comparison of immediate post-fire char (black ash) fraction, as measured by linear spectral unmixing, and deltaNBR, with two quantitative one-year post-fire field measures indicative of canopy and sub-canopy conditions: % live tree and dry organic litter weight (gm22). Image analysis was applied to Landsat 7 Enhanced Thematic Mapper (ETM + ) imagery acquired both before and immediately following the 2000 Jasper Fire, South Dakota. Post-fire field analysis was conducted one-year post-fire. Although the immediate post-fire char fraction (r2=0.56, SE=28.03) and dNBR (r2=0.55, SE=29.69) measures produced similarly good predictions of the % live tree, the standard error in the prediction of litter weight with the char fraction method (r2=0.55, SE=4.78) was considerably lower than with deltaNBR (r2=0.52, SE=8.01). Although further research is clearly warranted to evaluate more field measures, in more fires, and across more fire regimes, the char fraction may be a viable approach to predict longer-term indicators of ecosystem recovery and may potentially act as a surrogate retrospective measure of the fire intensity.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
CitationSmith, A. M. S.; Lenilte, L. B.; Hudak, A. T.; Morgan, P. 2007. Evaluation of linear spectral unmixing and deltaNBR for predicting post-fire recovery in a North American ponderosa pine forest. International Journal of Remote Sensing. 28(22): 5159-5166.
Keywordslinear spectral unmixing, Differenced Normalized Burn Ratio (deltaNBR), post-fire, char, Jasper Fire
- Survival and sanitation of dwarf mistletoe-infected ponderosa pine following prescribed underburning
- Pezizalean mycorrhizas and sporocarps in ponderosa pine (Pinus ponderosa) after prescribed fires in eastern Oregon, USA.
- Predicting mortality of ponderosa pine regeneration after prescribed fire in the Black Hills, South Dakota, USA
XML: View XML