Definition
Postfire imaging is the recording of raster-based images of reflected visible and infrared light in burned environments and the subsequent manipulation of the postfire imagery along with any paired active- and prefire imagery to map, document, and estimate changes due to wildfire. Imagery may be used along with field measurements of combustion or burn severity (also called fire severity) to build models of emissions and vegetation change and to extrapolate these relationships across the landscape.
Introduction
Imaging sensors that operate in the visible and infrared spectral ranges can be used to generate information about the area burned by wildfires and the range of combustion from fires. Such data are essential for land, fire, and forest managers; ecologists and fire behavior scientists; and government agencies...
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References
Barrett K, McGuire AD, Hoy EE, Kasischke ES (2011) Potential shifts in dominant forest cover in interior Alaska driven by variations in fire severity. Ecol Appl 21:2380–2396. https://doi.org/10.1890/10-0896.1
Calkin DE, Gebert KM, Jones JG, Mountain R (2005) Forest service large fire area burned and suppression expenditure trends, 1970–2002. J For 103:179–183
Chambers ME, Fornwalt PJ, Malone SL, Battaglia MA (2016) Patterns of conifer regeneration following high severity wildfire in ponderosa pine – dominated forests of the Colorado Front Range. For Ecol Manag 378:57–67. https://doi.org/10.1016/j.foreco.2016.07.001
Collins L, Griffioen P, Newell G, Mellor A (2018) The utility of random forests for wildfire severity mapping. Remote Sens Environ 216:374–384. https://doi.org/10.1016/j.rse.2018.07.005
Ferster CJ, Eskelson BNI, Andison DW, LeMay VM (2016) Vegetation mortality within natural wildfire events in the Western Canadian boreal forest: what burns and why? Forests 7:1–20. https://doi.org/10.3390/f7090187
Fraser R, Hall RJ, Landry R et al (2004) Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps. Photogramm Eng Remote Sens 70:451–460
Fraser R, van der Sluijs J, Hall R (2017) Calibrating satellite-based indices of burn severity from UAV-derived metrics of a burned boreal forest in NWT, Canada. Remote Sens 9:279. https://doi.org/10.3390/rs9030279
French NHF, Kasischke ES, Hall RJ et al (2008) Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results. Int J Wildland Fire 17:443–462. https://doi.org/10.1071/WF08007
Hoy EE, French NHF, Turetsky MR et al (2008) Evaluating the potential of Landsat TM/ETM+ imagery for assessing fire severity in Alaskan black spruce forests. Int J Wildland Fire 17:500–514. https://doi.org/10.1071/WF08107
Keeley JE (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. Int J Wildland Fire 18:116–126. https://doi.org/10.1071/WF07049
Key CH, Benson NC (2006) Landscape assessment (LA): sampling and analysis methods. Rocky Mountain Research Station, Fort Collins
Lewis SA, Hudak AT, Ottmar RD et al (2011) Using hyperspectral imagery to estimate forest floor consumption from wildfire in boreal forests of Alaska, USA. Int J Wildland Fire 20:255–271. https://doi.org/10.1071/WF09081
Loboda TV, French NHF, Hight-Harf C et al (2013) Mapping fire extent and burn severity in Alaskan tussock tundra: an analysis of the spectral response of tundra vegetation to wildland fire. Remote Sens Environ 134:194–209. https://doi.org/10.1016/j.rse.2013.03.003
Miller JD, Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sens Environ 109:66–80. https://doi.org/10.1016/j.rse.2006.12.006
Morgan P, Keane RE, Dillon GK et al (2014) Challenges of assessing fire and burn severity using field measures, remote sensing and modelling. Int J Wildland Fire 23:1045–1060. https://doi.org/10.1071/WF13058
Parks SA, Dillon GK, Miller C (2014) A new metric for quantifying burn severity: the relativized burn ratio. Remote Sens 6:1827–1844. https://doi.org/10.3390/rs6031827
Picotte JJ, Robertson K (2011) Timing constraints on remote sensing of wildland fire burned area in the southeastern US. Remote Sens 3:1680–1690. https://doi.org/10.3390/rs3081680
Robichaud PR, Lewis SA, Laes DYM et al (2007) Postfire soil burn severity mapping with hyperspectral image unmixing. Remote Sens Environ 108:467–480. https://doi.org/10.1016/j.rse.2006.11.027
Rouse J, Haas R, Schell J, Deering D (1974) Monitoring vegetation systems in the Great Plains with ERTS. NASA Goddard Sp Flight Cent 3d ERTS-1 Symp 1:309–317
Schroeder TA, Wulder MA, Healey SP, Moisen GG (2011) Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data. Remote Sens Environ 115:1421–1433. https://doi.org/10.1016/j.rse.2011.01.022
Smith AMS, Wooster MJ, Drake NA et al (2005) Testing the potential of multi-spectral remote sensing for retrospectively estimating fire severity in African Savannahs. Remote Sens Environ 97:92–115. https://doi.org/10.1016/j.rse.2005.04.014
Stocks BJ, Mason JA, Todd JB et al (2003) Large forest fires in Canada, 1959–1997. J Geophys Res 108:FFR 5-1–FFR 5-12. https://doi.org/10.1029/2001JD000484
Veraverbeke S, Hook SJ (2013) Evaluating spectral indices and spectral mixture analysis for assessing fire severity, combustion completeness and carbon emissions. Int J Wildland Fire 22:707–720. https://doi.org/10.1071/WF12168
Wimberly MC, Reilly MJ (2007) Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM+ imagery. Remote Sens Environ 108:189–197. https://doi.org/10.1016/j.rse.2006.03.019
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Whitman, E., Johnston, J.M., Schiks, T., Paugam, R., Cantin, A.S. (2019). Imaging Postfire Environments. In: Manzello, S. (eds) Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer, Cham. https://doi.org/10.1007/978-3-319-51727-8_175-1
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DOI: https://doi.org/10.1007/978-3-319-51727-8_175-1
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