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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Burn severity mapping using simulation modelling and satellite imageryA

Eva C. Karau A B and Robert E. Keane A
+ Author Affiliations
- Author Affiliations

A USDA Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, USA.

B Corresponding author. Email: ekarau@fs.fed.us

International Journal of Wildland Fire 19(6) 710-724 https://doi.org/10.1071/WF09018
Submitted: 12 June 2009  Accepted: 24 January 2010   Published: 17 September 2010

Abstract

Although burn severity maps derived from satellite imagery provide a landscape view of fire impacts, fire effects simulation models can provide spatial fire severity estimates and add a biotic context in which to interpret severity. In this project, we evaluated two methods of mapping burn severity in the context of rapid post-fire assessment for four wildfires in western Montana using 64 plots as field reference: (1) an image-based burn severity mapping approach using the Differenced Normalised Burn Ratio, and (2) a fire effects simulation approach using the FIREHARM model. The image-based approach was moderately correlated with percentage tree mortality but had no relationship with percentage fuel consumption, whereas the simulation approach was moderately correlated with percentage fuel consumption and weakly correlated with percentage tree mortality. Burn severity maps produced by the two approaches had mixed results among the four sampled wildfires. Both approaches had the same overall map agreement when compared with a sampled composite burn index but the approaches generated different severity maps. Though there are limitations to both approaches and more research is needed to refine methodologies, these techniques have the potential to be used synergistically to improve burn severity mapping capabilities of land managers, enabling them to quickly and effectively meet rehabilitation objectives.

Additional keywords: differenced normalised burn ratio, fire effects.


Acknowledgements

This effort was funded by the Joint Fire Sciences Program Agreement 05-1-1-12. We thank Jason Herynk, of Systems for Environmental Management, and Stacy Drury, Violet Holley, Greg Cohn, Curtis Johnson, Jhen Rawling and Signe Leirfallom, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. We also thank the anonymous reviewers whose comments and suggestions greatly improved the manuscript.


References


Brennan MW, Hardwick PE (1999) Burned Area Emergency Rehabilitation teams utilize GIS and remote sensing. Earth Observation Magazine 8(6), 14–16. Available at http://web.archive.org/web/20071116214324/www.eomonline.com/archives.php [Verified 7 July 2010]

Burgan RE (1979) Estimating live fuel moisture for the 1978 National Fire Danger Rating System. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-167. (Ogden, UT)

Chuvieco E (1999) Measuring changes in landscape pattern from satellite images: short-term effects of fire on spatial diversity. International Journal of Remote Sensing  20(12), 2331–2346.
Crossref | GoogleScholarGoogle Scholar | Congalton R, Green K (1999) ‘Assessing the Accuracy of Remotely Sensed Data: Principles and Practices.’ (CRC/Lewis Press: Boca Raton, FL)

Díaz-Delgado R, Lloret F , Pons X (2003) Influence of fire severity on plant regeneration by means of remote sensing imagery. International Journal of Remote Sensing  24(8), 1751–1763.
Crossref | GoogleScholarGoogle Scholar | Drury SA, Herynk J, Nat Tree: a national spatially explicit tree list from LANDFIRE data. USDA Forest Service, Rocky Mountain Research Station, General Technical Report, in press.

Duffy PA, Epting J, Graham JM, Rupp TS , McGuire DA (2007) Analysis of Alaskan burn severity patterns using remotely sensed data. International Journal of Wildland Fire  16(3), 277–284.
Crossref | GoogleScholarGoogle Scholar | Hudak AT, Morgan P, Bobbitt MJ, Lentile L (2007a) Characterizing stand-replacing harvest and fire disturbance patches in a forested landscape: a case study from Cooney Ridge, Montana. In ‘Understanding Forest Disturbance and Spatial Patterns: Remote Sensing and GIS Approaches’. (Eds MA Wulder, SE Franklin) Ch. 8, pp. 209–231. (Taylor & Francis: London)

Hudak AT, Morgan P, Bobbit MJ, Smith AMS, Lewis SA, Lentile LB, Robichaud PR, Clark JT , McKinley RA (2007b) The relationship of multispectral satellite imagery to immediate fire effects. Fire Ecology  3(1), 64–90.
Crossref | GoogleScholarGoogle Scholar | Keane RE, Reinhardt E, Brown JK (1994) FOFEM – a first order fire effects model for predicting the immediate consequences of wildland fire in the United States. In ‘Proceedings of the 12th Conference of Fire and Forest Meteorology’, 26–28 October 1993, Jekyll Island, GA. pp. 628–631. (American Meteorological Society: Boston, MA)

Keane RE, Drury SA, Karau EC, Hessburg PF , Reynolds KM (2010) A method for mapping fire hazard and risk across multiple scales and its application in fire management. Ecological Modelling  221, 2–18.
Crossref | GoogleScholarGoogle Scholar | Key CH, Benson NC (2006a) Landscape assessment: remote sensing of severity, the Normalized Burn Ratio. In ‘FIREMON: Fire Effects Monitoring and Inventory System’. (Eds DC Lutes, RE Keane, JF Caratti, CH Key, NC Benson, LJ Gangi) USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-164. (Ogden, UT)

Key CH, Benson NC (2006b) Landscape assessment: remote sensing of severity, the Composite Burn Index. In ‘FIREMON: Fire Effects Monitoring and Inventory System’. (Eds DC Lutes, RE Keane, JF Caratti, CH Key, NC Benson, LJ Gangi) USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-164. (Ogden, UT)

Kotliar NB, Simonson S, Chong G, Theobald D (2003) Effects on species of concern. In ‘Hayman Fire Case Study’. (Ed. RT Graham) USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-114. (Ogden, UT)

Lachowski H, Hardwick P, Griffith R, Parsons A , Warbington R (1997) Faster, better, data for burned watersheds needing emergency rehab. Journal of Forestry  95, 4–8.
Lutes DC, Keane RE, Caratti JF, Key CH, Benson NC, Gangi LJ (Eds) (2006) FIREMON: Fire Effects Monitoring and Inventory System. USDA Forest Service, Rocky Mountain Research Station General Technical Report RMRS-GTR-164. (Fort Collins, CO)

Main WA, Paananen DM, Burgan RE (1990) Fire Family Plus. USDA Forest Service, North Central Forest Experiment Station, General Technical Report NC-138. (Saint Paul, MN)

McMaster R (1997) In Memoriam: George F. Jenks (1916–1996). Cartography and Geographic Information Science  24(1), 56–59.
Crossref | GoogleScholarGoogle Scholar | McNab WH, Avers PE (Comps) (1994) Ecological subregions of the United States: section descriptions. USDA Forest Service Administrative Publication WO-WSA-5. (Washington, DC)

Miller JD , Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with at relative version of the Normalized Burn Ratio (dNBR). Remote Sensing of Environment  109, 66–80.
Crossref | GoogleScholarGoogle Scholar | NWCG (National Wildfire Coordinating Group) (2003) Interagency Strategy for the Implementation of Federal Wildland Fire Management Policy. Available at http://www.nwcg.gov/branches/ppm/fpc/archives/fire_policy/index.htm [Verified 7 July 2010]

Ottmar RD, Burns MF, Hall JN, Hanson AD (1993) CONSUME users guide. USDA Forest Service, Pacific Northwest Research Station, General Technical Report GTR-PNW-304. (Portland, OR)

Pratt S, Holsinger L, Keane RE (2006) Using simulation modeling to assess historical reference conditions for vegetation and fire regimes for the LANDFIRE prototype project. In ‘The LANDFIRE Prototype Project: Nationally Consistent and Locally Relevant Geospatial Data for Wildland Fire Management’. (Eds MG Rollins, CK Frame) USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-175. (Fort Collins, CO)

Reinhardt ED, Keane RE, Brown JK (1997) First Order Fire Effects Model: FOFEM 4.0 user’s guide. USDA Forest Service, Intermountain Research Station, General Technical Report INT-GTR-344. (Ogden, UT)

Reinhardt ED, Keane RE , Brown JK (2001) Modeling fire effects. International Journal of Wildland Fire  10, 373–380.
Crossref | GoogleScholarGoogle Scholar | Ryan KC, Noste NV (1985) Evaluating prescribed fires. In ‘Proceedings, Symposium and Workshop on Wilderness Fire’. (Eds JE Lotan, BM Kilgore, WC Fischer, RM Mutch) USDA Forest Service, Intermountain Research Station, General Technical Report INT-182, pp. 230–238. (Ogden, UT)

Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-153. (Fort Collins, CO)

Simard AJ (1991) Fire severity, changing scales, and how things hang together. International Journal of Wildland Fire  1(1), 23–34.
Crossref | GoogleScholarGoogle Scholar | USFS (1995) Burned Area Rehabilitation Handbook. USDA Forest Service Handbook 2509.13, Amendment No. 2509.13–95–7. (Washington DC)

van Wagtendonk JW, Root RR , Key CH (2004) Comparison of AVIRIS and Landsat ETM+ detection ca pabilities for burn severity. Remote Sensing of Environment  92, 397–408.
Crossref | GoogleScholarGoogle Scholar | Zarriello TJ, Knick ST, Rotenberry JT (1995) Producing a burn/disturbance map for the Snake River Birds of Prey National Conservation Area. In ‘Snake River Birds of Prey National Conservation Area Research and Monitoring Annual Report’. (USDOI Bureau of Land Management: Boise, ID)




A The use of trade or firm names in this paper is for reader information and does not imply endorsement by the US Department of Agriculture of any product or service. This paper was partly written and prepared by US Government employees on official time, and therefore is in the public domain and not subject to copyright in the USA.