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

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 proceeding › Conference Paper published in Proceedings › peer-review

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 language	English
Title of host publication	Proceedings of Bushfire CRC & AFAC 2011 Conference Science Day
Editors	RP Thornton
Place of Publication	East Melbourne
Publisher	Bushfire Cooperative Research Centre
Pages	120-128
Number of pages	9
ISBN (Print)	978-0-9806759-9-3
Publication status	Published - 2011
Event	Bushfire CRC & AFAC 2011 Conference - Sydney Duration: 1 Sept 2011 → 1 Sept 2011

Conference

Conference	Bushfire CRC & AFAC 2011 Conference
Period	1/09/11 → 1/09/11

Cite this

@inproceedings{ba70e653123d4b24ab29cf8ef5a2c54f,

title = "The development of an automated algorithm to map fire severity from satellite imagery",

abstract = "Fire severity is the post-fire effect of fire on the vegetation. The fire severity mappingalgorithm developed in this study correlated helicopter-based spectra collected over a siteusing a hand held spectrometer and ground data describing the fire severity within thespectrometer field of view. The differenced Normalized Burn Ratio (∆NBR) quite clearlydistinguished between severe and not-severe fires (r2 = 0.94). However, furtherdiscrimination into three or more classes required the development of other indicesincorporating 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 theavailable data.",

author = "Edwards, {Andrew Craig} and Stefan Maier and Lindsay Hutley and Williams, {Richard J} and Jeremy Russell-Smith",

year = "2011",

language = "English",

isbn = "978-0-9806759-9-3",

pages = "120--128",

editor = "RP Thornton",

booktitle = "Proceedings of Bushfire CRC & AFAC 2011 Conference Science Day",

publisher = "Bushfire Cooperative Research Centre",

note = "Bushfire CRC & AFAC 2011 Conference ; Conference date: 01-09-2011 Through 01-09-2011",

}

The development of an automated algorithm to map fire severity from satellite imagery. / Edwards, Andrew Craig; Maier, Stefan; Hutley, Lindsay et al.
Proceedings of Bushfire CRC & AFAC 2011 Conference Science Day. ed. / RP Thornton. East Melbourne: Bushfire Cooperative Research Centre, 2011. p. 120-128.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - The development of an automated algorithm to map fire severity from satellite imagery

AU - Edwards, Andrew Craig

AU - Maier, Stefan

AU - Hutley, Lindsay

AU - Williams, Richard J

AU - Russell-Smith, Jeremy

PY - 2011

Y1 - 2011

N2 - Fire severity is the post-fire effect of fire on the vegetation. The fire severity mappingalgorithm developed in this study correlated helicopter-based spectra collected over a siteusing a hand held spectrometer and ground data describing the fire severity within thespectrometer field of view. The differenced Normalized Burn Ratio (∆NBR) quite clearlydistinguished between severe and not-severe fires (r2 = 0.94). However, furtherdiscrimination into three or more classes required the development of other indicesincorporating 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 theavailable data.

AB - Fire severity is the post-fire effect of fire on the vegetation. The fire severity mappingalgorithm developed in this study correlated helicopter-based spectra collected over a siteusing a hand held spectrometer and ground data describing the fire severity within thespectrometer field of view. The differenced Normalized Burn Ratio (∆NBR) quite clearlydistinguished between severe and not-severe fires (r2 = 0.94). However, furtherdiscrimination into three or more classes required the development of other indicesincorporating 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 theavailable data.

M3 - Conference Paper published in Proceedings

SN - 978-0-9806759-9-3

SP - 120

EP - 128

BT - Proceedings of Bushfire CRC & AFAC 2011 Conference Science Day

A2 - Thornton, RP

PB - Bushfire Cooperative Research Centre

CY - East Melbourne

T2 - Bushfire CRC & AFAC 2011 Conference

Y2 - 1 September 2011 through 1 September 2011

ER -

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

Abstract

Conference

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