Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use

Andrew Craig Edwards, Stefan Maier, Lindsay Hutley, Richard J Williams, Jeremy Russell-Smith

    Research output: Contribution to conferenceAbstractResearch

    Abstract

    The algorithm to calculate Greenhouse Gas (GHG) emissions from savanna fires relies upon a number of variables from the classification of satellite based optical imagery. The algorithm variables require continued refinement. Fire severity mapping will increase the accuracy of the spatial distribution of fuel consumed. 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 languageEnglish
    Number of pages4
    Publication statusPublished - 2011
    EventInternational Symposium on Remote Sensing of Environment (ISRSE 2011 34th): The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, Sydney, NSW, Australia
    Duration: 10 Apr 201115 Apr 2011
    Conference number: 2011 (34th)

    Conference

    ConferenceInternational Symposium on Remote Sensing of Environment (ISRSE 2011 34th)
    Abbreviated titleISRSE
    CountryAustralia
    CitySydney, NSW
    Period10/04/1115/04/11

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    conservation management
    satellite imagery
    greenhouse gas
    spectrometer
    calculation
    field of view
    savanna
    MODIS
    imagery
    spatial distribution
    vegetation

    Cite this

    Edwards, A. C., Maier, S., Hutley, L., Williams, R. J., & Russell-Smith, J. (2011). Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use. Abstract from International Symposium on Remote Sensing of Environment (ISRSE 2011 34th), Sydney, NSW, Australia.
    Edwards, Andrew Craig ; Maier, Stefan ; Hutley, Lindsay ; Williams, Richard J ; Russell-Smith, Jeremy. / Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use. Abstract from International Symposium on Remote Sensing of Environment (ISRSE 2011 34th), Sydney, NSW, Australia.4 p.
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    title = "Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use",
    abstract = "The algorithm to calculate Greenhouse Gas (GHG) emissions from savanna fires relies upon a number of variables from the classification of satellite based optical imagery. The algorithm variables require continued refinement. Fire severity mapping will increase the accuracy of the spatial distribution of fuel consumed. 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.",
    keywords = "Conservation management, Field of views, Fire severity, Hand-held spectrometers, Mapping algorithms, Operational applications, Operational use, Optical imagery, Algorithms, Conformal mapping, Environmental engineering, Gas emissions, Greenhouse gases, Remote sensing, Satellite imagery, Spectrometers, Fires",
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    year = "2011",
    language = "English",
    note = "International Symposium on Remote Sensing of Environment (ISRSE 2011 34th) : The GEOSS Era: Towards Operational Environmental Monitoring, ISRSE ; Conference date: 10-04-2011 Through 15-04-2011",

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    Edwards, AC, Maier, S, Hutley, L, Williams, RJ & Russell-Smith, J 2011, 'Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use' International Symposium on Remote Sensing of Environment (ISRSE 2011 34th), Sydney, NSW, Australia, 10/04/11 - 15/04/11, .

    Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use. / Edwards, Andrew Craig; Maier, Stefan; Hutley, Lindsay; Williams, Richard J; Russell-Smith, Jeremy.

    2011. Abstract from International Symposium on Remote Sensing of Environment (ISRSE 2011 34th), Sydney, NSW, Australia.

    Research output: Contribution to conferenceAbstractResearch

    TY - CONF

    T1 - Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use

    AU - Edwards, Andrew Craig

    AU - Maier, Stefan

    AU - Hutley, Lindsay

    AU - Williams, Richard J

    AU - Russell-Smith, Jeremy

    PY - 2011

    Y1 - 2011

    N2 - The algorithm to calculate Greenhouse Gas (GHG) emissions from savanna fires relies upon a number of variables from the classification of satellite based optical imagery. The algorithm variables require continued refinement. Fire severity mapping will increase the accuracy of the spatial distribution of fuel consumed. 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.

    AB - The algorithm to calculate Greenhouse Gas (GHG) emissions from savanna fires relies upon a number of variables from the classification of satellite based optical imagery. The algorithm variables require continued refinement. Fire severity mapping will increase the accuracy of the spatial distribution of fuel consumed. 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.

    KW - Conservation management

    KW - Field of views

    KW - Fire severity

    KW - Hand-held spectrometers

    KW - Mapping algorithms

    KW - Operational applications

    KW - Operational use

    KW - Optical imagery

    KW - Algorithms

    KW - Conformal mapping

    KW - Environmental engineering

    KW - Gas emissions

    KW - Greenhouse gases

    KW - Remote sensing

    KW - Satellite imagery

    KW - Spectrometers

    KW - Fires

    UR - http://www.scopus.com/inward/record.url?scp=84879772746&partnerID=8YFLogxK

    M3 - Abstract

    ER -

    Edwards AC, Maier S, Hutley L, Williams RJ, Russell-Smith J. Mapping fire severity from satellite imagery for greenhouse gas emissions calculations, conservation management and operational use. 2011. Abstract from International Symposium on Remote Sensing of Environment (ISRSE 2011 34th), Sydney, NSW, Australia.