Abstract
Burn severity can be mapped using satellite data to detect changes in forest structure and moisture content caused by fires. The 2001 Leroux fire on the Coconino National Forest, Arizona, burned over 18 pre-existing permanent 0.1 ha plots. Plots were re-measured following the fire. Landsat 7 ETM+ imagery and the Differenced Normalized Burn Ratio (ΔNBR) were used to map the fire into four severity levels immediately following the fire (July 2001) and 1 year after the fire (June 2002). Ninety-two Composite Burn Index (CBI) plots were compared to the fire severity maps. Pre- and post-fire plot measurements were also analysed according to their imagery classification. Ground measurements demonstrated differences in forest structure. Areas that were classified as severely burned on the imagery were predominantly Pinus ponderosa stands. Tree density and basal area, snag density and fine fuel accumulation were associated with severity levels. Tree mortality was not greatest in severely burned areas, indicating that the ΔNBR is comprehensive in rating burn severity by incorporating multiple forest strata. While the ΔNBR was less accurate at mapping perimeters, the method was reliable for mapping severely burned areas that may need immediate or long-term post-fire recovery.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 189-198 |
| Number of pages | 10 |
| Journal | International Journal of Wildland Fire |
| Volume | 14 |
| Issue number | 2 |
| State | Published - 2005 |
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Keywords
- Arizona
- Mixed conifer forest
- Ponderosa pine
ASJC Scopus subject areas
- Forestry
- Plant Science
Cite this
Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data. / Cocke, Allison E.; Fule, Peter Z; Crouse, Joseph E.
In: International Journal of Wildland Fire, Vol. 14, No. 2, 2005, p. 189-198.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data
AU - Cocke, Allison E.
AU - Fule, Peter Z
AU - Crouse, Joseph E.
PY - 2005
Y1 - 2005
N2 - Burn severity can be mapped using satellite data to detect changes in forest structure and moisture content caused by fires. The 2001 Leroux fire on the Coconino National Forest, Arizona, burned over 18 pre-existing permanent 0.1 ha plots. Plots were re-measured following the fire. Landsat 7 ETM+ imagery and the Differenced Normalized Burn Ratio (ΔNBR) were used to map the fire into four severity levels immediately following the fire (July 2001) and 1 year after the fire (June 2002). Ninety-two Composite Burn Index (CBI) plots were compared to the fire severity maps. Pre- and post-fire plot measurements were also analysed according to their imagery classification. Ground measurements demonstrated differences in forest structure. Areas that were classified as severely burned on the imagery were predominantly Pinus ponderosa stands. Tree density and basal area, snag density and fine fuel accumulation were associated with severity levels. Tree mortality was not greatest in severely burned areas, indicating that the ΔNBR is comprehensive in rating burn severity by incorporating multiple forest strata. While the ΔNBR was less accurate at mapping perimeters, the method was reliable for mapping severely burned areas that may need immediate or long-term post-fire recovery.
AB - Burn severity can be mapped using satellite data to detect changes in forest structure and moisture content caused by fires. The 2001 Leroux fire on the Coconino National Forest, Arizona, burned over 18 pre-existing permanent 0.1 ha plots. Plots were re-measured following the fire. Landsat 7 ETM+ imagery and the Differenced Normalized Burn Ratio (ΔNBR) were used to map the fire into four severity levels immediately following the fire (July 2001) and 1 year after the fire (June 2002). Ninety-two Composite Burn Index (CBI) plots were compared to the fire severity maps. Pre- and post-fire plot measurements were also analysed according to their imagery classification. Ground measurements demonstrated differences in forest structure. Areas that were classified as severely burned on the imagery were predominantly Pinus ponderosa stands. Tree density and basal area, snag density and fine fuel accumulation were associated with severity levels. Tree mortality was not greatest in severely burned areas, indicating that the ΔNBR is comprehensive in rating burn severity by incorporating multiple forest strata. While the ΔNBR was less accurate at mapping perimeters, the method was reliable for mapping severely burned areas that may need immediate or long-term post-fire recovery.
KW - Arizona
KW - Mixed conifer forest
KW - Ponderosa pine
UR - http://www.scopus.com/inward/record.url?scp=21744455979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=21744455979&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:21744455979
VL - 14
SP - 189
EP - 198
JO - International Journal of Wildland Fire
JF - International Journal of Wildland Fire
SN - 1049-8001
IS - 2
ER -