Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data

Allison E. Cocke, Peter Z Fule, Joseph E. Crouse

Research output: Contribution to journalArticle

240 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)189-198
Number of pages10
JournalInternational Journal of Wildland Fire
Volume14
Issue number2
StatePublished - 2005

Fingerprint

imagery
Coconino National Forest
fire severity
snags
comparison
tree mortality
Pinus ponderosa
snag
Landsat
basal area
remote sensing
satellite data
moisture content
taxonomy
water content
mortality
methodology
index
method
need

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 journalArticle

@article{6d907cceddd64fba860d72b4b49a95dc,
title = "Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data",
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.",
keywords = "Arizona, Mixed conifer forest, Ponderosa pine",
author = "Cocke, {Allison E.} and Fule, {Peter Z} and Crouse, {Joseph E.}",
year = "2005",
language = "English (US)",
volume = "14",
pages = "189--198",
journal = "International Journal of Wildland Fire",
issn = "1049-8001",
publisher = "CSIRO",
number = "2",

}

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 -