Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

Generating annual estimates of forest fire disturbance in Canada: the National Burned Area Composite

R. J. Hall A , R. S. Skakun A C , J. M. Metsaranta A , R. Landry B , R.H. Fraser B , D. Raymond B , M. Gartrell A , V. Decker B and J. Little A
+ Author Affiliations
- Author Affiliations

A Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, 5320 – 122 Street, Edmonton, AB T6H 3S5, Canada.

B Natural Resources Canada, Canada Centre for Mapping and Earth Observation, 560 Rochester Street, Ottawa, ON K1S 5K2 Canada.

C Corresponding author. Email: rob.skakun@canada.ca

International Journal of Wildland Fire 29(10) 878-891 https://doi.org/10.1071/WF19201
Submitted: 3 December 2019  Accepted: 12 July 2020   Published: 5 August 2020

Journal Compilation © IAWF 2020 Open Access CC BY-NC-ND

Abstract

Determining burned area in Canada across fire management agencies is challenging because of different mapping scales and methods. The inconsistent removal of unburned islands and water features from within burned polygon perimeters further complicates the problem. To improve the determination of burned area, the Canada Centre for Mapping and Earth Observation and the Canadian Forest Service developed the National Burned Area Composite (NBAC). The primary data sources for this tool are an automated system to derive fire polygons from 30-m Landsat imagery (Multi-Acquisition Fire Mapping System) and high-quality agency polygons delineated from imagery with spatial resolution ≤30 m. For fires not mapped by these sources, the Hotspot and Normalized Difference Vegetation Index Differencing Synergy method was used with 250–1000-m satellite data. From 2004 to 2016, the National Burned Area Composite reported an average of 2.26 Mha burned annually, with considerable interannual variability. Independent assessment of Multi-Acquisition Fire Mapping System polygons achieved an average accuracy of 96% relative to burned-area data with high spatial resolution. Confidence intervals for national area burned statistics averaged ±4.3%, suggesting that NBAC contributes relatively little uncertainty to current estimates of the carbon balance of Canada’s forests.

Additional keywords: boreal forest, fire perimeters, fire refugia, Landsat, NBR, post-fire, unburned islands.


References

Amiro BD, Todd JB, Wotton BM, Logan KA, Flannigan MD, Stocks BJ, Mason JA, Martell DL, Hirsch KG (2001) Direct carbon emissions from Canadian forest fires, 1959–1999. Canadian Journal of Forest Research 31, 512–525.
Direct carbon emissions from Canadian forest fires, 1959–1999.Crossref | GoogleScholarGoogle Scholar |

Bernier PY, Kurz WA, Lemprière TC, Ste-Marie C (2012) A blueprint for forest carbon science in Canada: 2012–2020. Natural Resources Canada, Canadian Forest Service. (Ottawa, ON, Canada) Available at http://www.cfs.nrcan.gc.ca/publications/?id=34222 [Verified 9 October 2019]

Burton PJ, Parisien MA, Hicke JA, Hall RJ, Freeburn JT (2008) Large fires as agents of ecological diversity in the North American boreal forest. International Journal of Wildland Fire 17, 754–767.
Large fires as agents of ecological diversity in the North American boreal forest.Crossref | GoogleScholarGoogle Scholar |

Chander G, Markham BL, Helder DL (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893–903.
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors.Crossref | GoogleScholarGoogle Scholar |

Chu T, Guo X (2014) Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: a review. Remote Sensing 6, 470–520.
Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: a review.Crossref | GoogleScholarGoogle Scholar |

CIFFC (2015) CIFFC IM/IT Strategy. Canadian Interagency Forest Fire Centre Inc. (Winnipeg, MB, Canada) Available at https://www.ciffc.ca/sites/default/files/2020-03/IM%20IT%20Strategy.pdf [Verified 6 March 2020].

Civco DL (1989) Topographic normalization of Landsat Thematic Mapper digital imagery. Photogrammetric Engineering and Remote Sensing 55, 1303–1309.

Congalton RG, Green K (2008) ‘Assessing the accuracy of remotely sensed data: principles and practices.’ (CRC Press: Boca Raton, FL, USA)

de Groot WJ, Landry R, Kurz WA, Anderson KR, Englefield P, Fraser RH, Hall RJ, Banfield E, Raymond DA, Decker V, Lynham TJ, Pritchard JM (2007) Estimating direct carbon emissions from Canadian wildland fires. International Journal of Wildland Fire 16, 593–606.
Estimating direct carbon emissions from Canadian wildland fires.Crossref | GoogleScholarGoogle Scholar |

Domenikiotis C, Dalezios NR, Loukas A, Karteris M (2002) Agreement assessment of NOAA/AVHRR NDVI with Landsat TM NDVI for mapping burned forested areas. International Journal of Remote Sensing 23, 4235–4246.
Agreement assessment of NOAA/AVHRR NDVI with Landsat TM NDVI for mapping burned forested areas.Crossref | GoogleScholarGoogle Scholar |

Eva H, Lambin EF (1998) Burnt area mapping in central Africa using ATSR data. International Journal of Remote Sensing 19, 3473–3497.
Burnt area mapping in central Africa using ATSR data.Crossref | GoogleScholarGoogle Scholar |

Fernandes R, Leblanc SG (2005) Parametric (modified least squares) and non-parametric (Theil–Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors. Remote Sensing of Environment 95, 303–316.
Parametric (modified least squares) and non-parametric (Theil–Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors.Crossref | GoogleScholarGoogle Scholar |

Fisette T, Chenier R, Maloley M, Gasser PY, Huffman T, White L, Ogston R, Elgarawany A (2006) Methodology for a Canadian agricultural land cover classification. In ‘Proceedings of the 1st international conference on object-based image analysis, 4-5 July 2006, Salzburg University, Austria’, (Eds. S Lang, T Blaschke, E Schöpfer) pp. 4–5. (International Society for Photogrammetry and Remote Sensing, Leibniz University Hannover, Institute of Photogrammetry and Geoinformation, Hannover, Germany). Available at https://pdfs.semanticscholar.org/770c/a78dad8b4b2e9b1abaa84f2b4787de9e48d2.pdf [Verified 18 March 2020]

Fraser RH, Li Z, Cihlar J (2000) Hotspot and NDVI differencing synergy (HANDS): a new technique for burned area mapping over boreal forest. Remote Sensing of Environment 74, 362–376.
Hotspot and NDVI differencing synergy (HANDS): a new technique for burned area mapping over boreal forest.Crossref | GoogleScholarGoogle Scholar |

Fraser RH, Hall RJ, Landry R, Lynham T, Raymond D, Lee B, Li Z (2004) Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps. Photogrammetric Engineering and Remote Sensing 70, 451–460.
Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps.Crossref | GoogleScholarGoogle Scholar |

French NH, Kasischke ES, Hall RJ, Murphy KA, Verbyla DL, Hoy EE, Allen JL (2008) Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results. International Journal of Wildland Fire 17, 443–462.
Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results.Crossref | GoogleScholarGoogle Scholar |

Goetz SJ, Fiske GJ, Bunn AG (2006) Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada. Remote Sensing of Environment 101, 352–365.
Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada.Crossref | GoogleScholarGoogle Scholar |

Guindon L, Bernier PY, Beaudoin A, Pouliot D, Villemaire P, Hall RJ, Latifovic R, St-Amant R (2014) Annual mapping of large forest disturbances across Canada’s forests using 250-m MODIS imagery from 2000 to 2011. Canadian Journal of Forest Research 44, 1545–1554.
Annual mapping of large forest disturbances across Canada’s forests using 250-m MODIS imagery from 2000 to 2011.Crossref | GoogleScholarGoogle Scholar |

Guindon L, Villemaire P, St-Amant R, Bernier PY, Beaudoin A, Caron F, Bonucelli M, Dorion H (2017) Canada Landsat Disturbance (CanLaD): a Canada-wide Landsat-based 30-m resolution product of fire and harvest detection and attribution since 1984. Natural Resources Canada, Canadian Forest Service. Available at https://doi.org/10.23687/add1346b-f632-4eb9-a83d-a662b38655ad [Verified 13 July 2020]

Guindon L, Bernier P, Gauthier S, Stinson G, Villemaire P, Beaudoin A (2018) Missing forest cover gains in boreal forests explained. Ecosphere 9, e02094
Missing forest cover gains in boreal forests explained.Crossref | GoogleScholarGoogle Scholar |

Hanes CC, Wang X, Jain P, Parisien MA, Little JM, Flannigan MD (2019) Fire-regime changes in Canada over the last half century. Canadian Journal of Forest Research 49, 256–269.
Fire-regime changes in Canada over the last half century.Crossref | GoogleScholarGoogle Scholar |

Hawbaker TJ, Vanderhoof MK, Beal YJ, Takacs JD, Schmidt GL, Falgout JT, Williams B, Fairaux NM, Caldwell MK, Picotte JJ, Howard SM (2017) Mapping burned areas using dense time-series of Landsat data. Remote Sensing of Environment 198, 504–522.
Mapping burned areas using dense time-series of Landsat data.Crossref | GoogleScholarGoogle Scholar |

Henry MC (2008) Comparison of single-and multi-date Landsat data for mapping wildfire scars in Ocala National Forest, Florida. Photogrammetric Engineering and Remote Sensing 74, 881–891.
Comparison of single-and multi-date Landsat data for mapping wildfire scars in Ocala National Forest, Florida.Crossref | GoogleScholarGoogle Scholar |

Huffman T, Ogston R, Fisette T, Daneshfar BL, White PG, Maloley M, Chenier R (2006) Canadian agricultural land-use and land management data for Kyoto reporting. Canadian Journal of Soil Science 86, 431–439.
Canadian agricultural land-use and land management data for Kyoto reporting.Crossref | GoogleScholarGoogle Scholar |

Kasischke ES, Loboda T, Giglio L, French NH, Hoy EE, de Jong B, Riano D (2011) Quantifying burned area for North American forests: implications for direct reduction of carbon stocks. Journal of Geophysical Research. Biogeosciences 116,
Quantifying burned area for North American forests: implications for direct reduction of carbon stocks.Crossref | GoogleScholarGoogle Scholar |

Key CH (2005) Remote sensing sensitivity to fire severity and fire recovery. In ‘ Proceedings of the 5th international workshop on remote sensing and GIS applications to forest fire management: fire effects assessment’, 16–18 November 2005, Zaragoza, Spain. (Eds. J de la Riva, F Pérez-Cabello, E Chuvieco) pp. 29–39. (Universidad de Zaragoza, Servicio de Publicaciones: Zaragoza, Spain)

Kolden CA, Weisberg PJ (2007) Assessing accuracy of manually mapped wildfire perimeters in topographically dissected areas. Fire Ecology 3, 22–31.
Assessing accuracy of manually mapped wildfire perimeters in topographically dissected areas.Crossref | GoogleScholarGoogle Scholar |

Kolden CA, Lutz JA, Key CH, Kane JT, van Wagtendonk JW (2012) Mapped versus actual burned area within wildfire perimeters: characterizing the unburned. Forest Ecology and Management 286, 38–47.
Mapped versus actual burned area within wildfire perimeters: characterizing the unburned.Crossref | GoogleScholarGoogle Scholar |

Kurz WA, Apps MJ (2006) Developing Canada’s national forest carbon monitoring, accounting and reporting system to meet the reporting requirements of the Kyoto Protocol. Mitigation and Adaptation Strategies for Global Change 11, 33–43.
Developing Canada’s national forest carbon monitoring, accounting and reporting system to meet the reporting requirements of the Kyoto Protocol.Crossref | GoogleScholarGoogle Scholar |

Kurz WA, Hayne S, Fellows M, MacDonald JD, Metsaranta JM, Hafer M, Blain D (2018) Quantifying the impacts of human activities on reported greenhouse gas emissions and removals in Canada’s managed forest: conceptual framework and implementation. Canadian Journal of Forest Research 48, 1227–1240.
Quantifying the impacts of human activities on reported greenhouse gas emissions and removals in Canada’s managed forest: conceptual framework and implementation.Crossref | GoogleScholarGoogle Scholar |

Law KH, Nichol J (2004) Topographic correction for differential illumination effects on IKONOS satellite imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 35, 641–646. http://www.cartesia.org/geodoc/isprs2004/comm3/papers/347.pdf

Lee BS, Alexander ME, Hawkes BC, Lynham TJ, Stocks BJ, Englefield P (2002) Information systems in support of wildland fire management decision-making in Canada. Computers and Electronics in Agriculture 37, 185–198.
Information systems in support of wildland fire management decision-making in Canada.Crossref | GoogleScholarGoogle Scholar |

Lentile LB, Holden ZA, Smith AM, Falkowski MJ, Hudak AT, Morgan P, Lewis SA, Gessler PE, Benson NC (2006) Remote sensing techniques to assess active fire characteristics and post-fire effects. International Journal of Wildland Fire 15, 319–345.
Remote sensing techniques to assess active fire characteristics and post-fire effects.Crossref | GoogleScholarGoogle Scholar |

Mascorro VS, Coops NC, Kurz WA, Olguín M (2015) Choice of satellite imagery and attribution of changes to disturbance type strongly affects forest carbon balance estimates. Carbon Balance and Management 10, 30
Choice of satellite imagery and attribution of changes to disturbance type strongly affects forest carbon balance estimates.Crossref | GoogleScholarGoogle Scholar | 26705411PubMed |

Meddens AJ, Kolden CA, Lutz JA (2016) Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the north-western United States. Remote Sensing of Environment 186, 275–285.
Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the north-western United States.Crossref | GoogleScholarGoogle Scholar |

Meddens AJ, Kolden CA, Lutz JA, Smith AM, Cansler CA, Abatzoglou JT, Meigs GW, Downing WM, Krawchuk MA (2018) Fire refugia: what are they, and why do they matter for global change? Bioscience 68, 944–954.
Fire refugia: what are they, and why do they matter for global change?Crossref | GoogleScholarGoogle Scholar |

Meigs GW, Krawchuk MA (2018) Composition and structure of forest fire refugia: what are the ecosystem legacies across burned landscapes? Forests 9, 243
Composition and structure of forest fire refugia: what are the ecosystem legacies across burned landscapes?Crossref | GoogleScholarGoogle Scholar |

Metsaranta JM, Shaw CH, Kurz WA, Boisvenue C, Morken S (2017) Uncertainty of inventory-based estimates of the carbon dynamics of Canada’s managed forest (1990–2014). Canadian Journal of Forest Research 47, 1082–1094.
Uncertainty of inventory-based estimates of the carbon dynamics of Canada’s managed forest (1990–2014).Crossref | GoogleScholarGoogle Scholar |

Natural Resources Canada (2000) Canadian digital elevation data standards and specifications. Centre for Topographic Information Customer Support Group. (Sherbrooke, QC, Canada). Available at http://www.pancroma.com/downloads/NRCAN_CDED_specs.pdf [Verified 09 March 2020]

Natural Resources Canada (2019a) ‘CWFIS Datamart: fire history data. National Burned Area Composite.’ (Natural Resources Canada, Canadian Forest Service: Ottawa, ON, Canada) Available at http://cwfis.cfs.nrcan.gc.ca/datamart [Verified 9 April 2019]

Natural Resources Canada (2019b) ‘Fire monitoring and reporting tool.’ (Natural Resources Canada, Canadian Forest Service: Ottawa, ON, Canada) Available at http://www.nrcan.gc.ca/forests/fire-insects-disturbances/fire/13159 [Verified 9 April 2019]

Natural Resources Canada (2019c) ‘National Forestry Database.’ (Natural Resources Canada, Canadian Forest Service: Ottawa, ON, Canada) Available at http://nfdp.ccfm.org/en/index.php [Verified 9 April 2019]

Natural Resources Canada (2019d) ‘The state of Canada’s forests report.’ (Natural Resources Canada, Canadian Forest Service: Ottawa, ON, Canada). Available at https://www.nrcan.gc.ca/our-natural-resources/forests-forestry/state-canadas-forests-report/16496 [Verified 9 Oct 2019]

Natural Resources Canada (2019e) ‘National Fire Database.’ (Natural Resources Canada, Canadian Forest Service: Ottawa, ON, Canada). Available at http://cwfis.cfs.nrcan.gc.ca/ha/nfdb [Verified 2 May 2019]

Olofsson P, Foody GM, Herold M, Stehman SV, Woodcock CE, Wulder MA (2014) Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment 148, 42–57.
Good practices for estimating area and assessing accuracy of land change.Crossref | GoogleScholarGoogle Scholar |

Parisien MA, Peters VS, Wang Y, Little JM, Bosch EM, Stocks BJ (2006) Spatial patterns of forest fires in Canada, 1980–1999. International Journal of Wildland Fire 15, 361–374.
Spatial patterns of forest fires in Canada, 1980–1999.Crossref | GoogleScholarGoogle Scholar |

Penman J, Gytarsky M, Hiraishi T, Krug T, Kruger D, Pipatti R, Buendia L, Miwa K, Ngara T, Tanabe K, Wagner F (Eds) (2003) ‘Good practice guidance for land use, land-use change and forestry.’ (Intergovernmental Panel on Climate Change, Institute for Global Environmental Strategies: Hayama, Japan)

Polychronaki A, Gitas IZ (2012) Burned area mapping in Greece using SPOT-4 HRVIR images and object-based image analysis. Remote Sensing 4, 424–438.
Burned area mapping in Greece using SPOT-4 HRVIR images and object-based image analysis.Crossref | GoogleScholarGoogle Scholar |

Robinson NM, Leonard SW, Ritchie EG, Bassett M, Chia EK, Buckingham S, Gibb H, Bennett AF, Clarke MF (2013) Refuges for fauna in fire‐prone landscapes: their ecological function and importance. Journal of Applied Ecology 50, 1321–1329.
Refuges for fauna in fire‐prone landscapes: their ecological function and importance.Crossref | GoogleScholarGoogle Scholar |

Sankey S (2018) Blueprint for wildland fire science in Canada (2019–2029). Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre. (Edmonton, AB, Canada). Available from: https://www.nrcan.gc.ca/forests/topics/fires-insects-and-disturbances/blueprint-wildland-fire-science-canada-2019-2029/21614 [Verified 5 March 2020]

Short KC (2015) Sources and implications of bias and uncertainty in a century of US wildfire activity data. International Journal of Wildland Fire 24, 883–891.
Sources and implications of bias and uncertainty in a century of US wildfire activity data.Crossref | GoogleScholarGoogle Scholar |

Sparks AM, Boschetti L, Smith AM, Tinkham WT, Lannom KO, Newingham BA (2015) An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States. International Journal of Wildland Fire 24, 70–78.
An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States.Crossref | GoogleScholarGoogle Scholar |

Stinson G, Kurz WA, Smyth CE, Neilson ET, Dymond CC, Metsaranta JM, Boisvenue C, Rampley GJ, Li Q, White TM, Blain D (2011) An inventory‐based analysis of Canada’s managed forest carbon dynamics, 1990 to 2008. Global Change Biology 17, 2227–2244.
An inventory‐based analysis of Canada’s managed forest carbon dynamics, 1990 to 2008.Crossref | GoogleScholarGoogle Scholar |

Stocks BJ, Mason JA, Todd JB, Bosch EM, Wotton BM, Amiro BD, Flannigan MD, Hirsch KG, Logan KA, Martell DL, Skinner WR (2003) Large forest fires in Canada, 1959–1997. Journal of Geophysical Research: Atmospheres 108, 8149
Large forest fires in Canada, 1959–1997.Crossref | GoogleScholarGoogle Scholar |

USDA Forest Service (2020) Active fire mapping program. Geospatial Technology and Applications Center. (Salt Lake City, UT, USA) Available at https://fsapps.nwcg.gov/afm/index.php [Verified 9 March 2020]

Vanderhoof MK, Fairaux N, Beal YJG, Hawbaker TJ (2017) Validation of the USGS Landsat burned area essential climate variable (BAECV) across the conterminous United States. Remote Sensing of Environment 198, 393–406.
Validation of the USGS Landsat burned area essential climate variable (BAECV) across the conterminous United States.Crossref | GoogleScholarGoogle Scholar |

Warmerdam F (2008) The geospatial data abstraction library. In ‘Open source approaches in spatial data handling’. Advances in geographic information science. (Eds FB Hall, MG Leahy) Vol. 2, pp. 87–104. (Springer: Berlin, Heidelberg) Available at https://doi.org/10.1007/978-3-540-74831-1_5

White JC, Wulder MA, Hermosilla T, Coops NC, Hobart GW (2017) A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment 194, 303–321.
A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series.Crossref | GoogleScholarGoogle Scholar |

Zell D, Kafka V (2012) ‘Mapping recent fire history in Wapusk National Park and greater park ecosystem with Landsat imagery’. (Parks Canada Agency, National Fire Centre: Gatineau, QC, Canada)