Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm

Tatiana V. Loboda A B , Elizabeth E. Hoy A , Louis Giglio A and Eric S. Kasischke A
+ Author Affiliations
- Author Affiliations

A Geography Department, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.

B Corresponding author. Email: loboda@umd.edu

International Journal of Wildland Fire 20(4) 487-496 https://doi.org/10.1071/WF10017
Submitted: 2 February 2010  Accepted: 18 October 2010   Published: 20 June 2011

Abstract

With the recently observed and projected trends of growing wildland fire occurrence in high northern latitudes, satellite-based burned area mapping in these regions is becoming increasingly important for scientific and fire management communities. Coarse- and moderate-resolution remotely sensed data products are the only viable source of comprehensive and timely estimates of burned area in remote, sparsely populated regions. Several MODIS (Moderate Resolution Imaging Spectroradiometer)-based burned area products for Alaska are currently available. However, our research shows that the existing burned area products underestimate the extent of the effect of fire by 15–70%. Environmental conditions limit the effective observation of land surface in Alaska to the period between May and September. These limitations are particularly noticeable in mapping late-season fires. Here we present an ecosystem-based modification to a previously developed burned area mapping approach designed to enhance the algorithm performance in Alaska. The mapping results show a consistently high performance of the adjusted algorithm in mapping burned areas in Alaska during large (2004 and 2005) and small (2006 and 2007) fire years. The adjusted burned area product maps burned areas identified by the Monitoring Trends in Burn Severity products with the overall accuracy of 90–93% and Kappa of 0.67–0.75%.

Additional keywords: boreal forest, high northern latitudes, wildland fire.


References

Chen P-Y, Srinivasan R, Fedosejevs G, Kiniry JR (2003) Evaluating different NDVI compositing techniques using NOAA-14 AVHRR data. International Journal of Remote Sensing 24, 3403–3412.
Evaluating different NDVI compositing techniques using NOAA-14 AVHRR data.Crossref | GoogleScholarGoogle Scholar |

Chuvieco E, Englefield P, Trishchenko AP, Luo Y (2008) Generation of long time series of burn area maps of the boreal forest from NOAA–AVHRR composite data. Remote Sensing of Environment 112, 2381–2396.
Generation of long time series of burn area maps of the boreal forest from NOAA–AVHRR composite data.Crossref | GoogleScholarGoogle Scholar |

Deng MX, Di LP (2001) Solar zenith angle correction of global NDVI time-series from AVHRR. In ‘Proceedings: IEEE International Symposium on Geoscience and Remote Sensing: Scanning the Present and Resolving the Future’, 9–13 July 2001, Sydney. Vol. 4, pp. 1838–1840. (Institute of Electrical and Electronics Engineers: New York)

Eidenshink J, Schwind B, Brewer K, Zhu ZL, Quayle B, Howard S (2007) A project for monitoring trends in burn severity. Fire Ecology 3, 3–21.
A project for monitoring trends in burn severity.Crossref | GoogleScholarGoogle Scholar |

Eva H, Lambin EF (1998) Remote sensing of biomass burning in tropical regions: sampling issues and multisensor approach. Remote Sensing of Environment 64, 292–315.
Remote sensing of biomass burning in tropical regions: sampling issues and multisensor approach.Crossref | GoogleScholarGoogle Scholar |

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..

Giglio L, Descloitres J, Justice CO, Kaufman YJ (2003) An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87, 273–282.
An enhanced contextual fire detection algorithm for MODIS.Crossref | GoogleScholarGoogle Scholar |

Giglio L, Loboda T, Roy DP, Quayle B, Justice CO (2009) An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment 113, 408–420.
An active-fire based burned area mapping algorithm for the MODIS sensor.Crossref | GoogleScholarGoogle Scholar |

Gillett NP, Weaver AJ, Zwiers FW, Flannigan MD (2004) Detecting the effect of climate change on Canadian forest fires. Geophysical Research Letters 31, L18211
Detecting the effect of climate change on Canadian forest fires.Crossref | GoogleScholarGoogle Scholar |

Holben BN (1986) Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing 7, 1417–1434.
Characteristics of maximum-value composite images from temporal AVHRR data.Crossref | GoogleScholarGoogle Scholar |

Ivanova GA, Ivanov VA, Kukavskaya EA, Soja AJ (2010) The frequency of forest fires in Scots pine stands of Tuva, Russia. Environmental Research Letters 5, 015002
The frequency of forest fires in Scots pine stands of Tuva, Russia.Crossref | GoogleScholarGoogle Scholar |

Kasischke ES, French NHF (1995) Locating and estimating the areal extent wildfires in Alaskan boreal forest using multiple-season AVHRR NDVI composite data. Remote Sensing of Environment 51, 263–275.
Locating and estimating the areal extent wildfires in Alaskan boreal forest using multiple-season AVHRR NDVI composite data.Crossref | GoogleScholarGoogle Scholar |

Kasischke ES, Turetsky MR (2006) Recent changes in the fire regime across the North American boreal region – spatial and temporal patterns of burning across Canada and Alaska. Geophysical Research Letters 33, 1–5..

Kasischke ES, Williams D, Barry D (2002) Analysis of the patterns of large fires in the boreal forest region of Alaska. International Journal of Wildland Fire 11, 131–144.
Analysis of the patterns of large fires in the boreal forest region of Alaska.Crossref | GoogleScholarGoogle Scholar |

Kaufman YJ, Justice CO, Flynn LP, Kendall JD, Prins EM, Giglio L, Ward DE, Menzel WP, Setzer AW (1998) Potential global fire monitoring from EOS-MODIS. Journal of Geophysical Research – Atmospheres 103, 32 215–32 238.
Potential global fire monitoring from EOS-MODIS.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXovVWitA%3D%3D&md5=b6afa2acbb6fe5c23a7dc24b162f0924CAS |

Loboda TV, O’Neal KJ, Csiszar IA (2007) Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data. Remote Sensing of Environment 109, 429–442.
Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data.Crossref | GoogleScholarGoogle Scholar |

López García MJ, Caselles V (1991) Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International 6, 31–37.
Mapping burns and natural reforestation using Thematic Mapper data.Crossref | GoogleScholarGoogle Scholar |

Pu R, Li Zh, Gong P, Csiszar I, Fraser R, Hao W-M, Kondragunta S, Weng F (2007) Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data. Remote Sensing of Environment 108, 198–208.
Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Jin Y, Lewis PE, Justice CO (2005) Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment 97, 137–162.
Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Boschetti L, Justice CO, Ju J (2008) The Collection 5 MODIS burned area product – global evaluation by comparison with the MODIS active fire product. Remote Sensing of Environment 112, 3690–3707.
The Collection 5 MODIS burned area product – global evaluation by comparison with the MODIS active fire product.Crossref | GoogleScholarGoogle Scholar |

Schott JR (1997) ‘Remote Sensing: the Image Chain Approach.’ (Oxford University Press: New York)

Singh SM (1988) Simulation of solar zenith angle effect on global vegetation index (GVI) data. International Journal of Remote Sensing 9, 237–248.
Simulation of solar zenith angle effect on global vegetation index (GVI) data.Crossref | GoogleScholarGoogle Scholar |

Soja AJ, Tchebakova NM, French NH, Flannigan MD, Shugart HH, Stocks BJ, Sukhinin AI, Parfenova EI, Chapin FS, Stackhouse PW (2007) Climate-induced boreal forest change: predictions versus current observations. Global and Planetary Change 56, 274–296.
Climate-induced boreal forest change: predictions versus current observations.Crossref | GoogleScholarGoogle Scholar |

Verbyla DL, Kasischke ES, Hoy EE (2008) Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM+ data. International Journal of Wildland Fire 17, 527–534.
Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM+ data.Crossref | GoogleScholarGoogle Scholar |

Vermote EF, Saleous NZ, Justice CO (2002) Atmospheric correction of MODIS data in the visible to middle infrared: first results. Remote Sensing of Environment 83, 97–111.
Atmospheric correction of MODIS data in the visible to middle infrared: first results.Crossref | GoogleScholarGoogle Scholar |

Wolfe RE, Roy DP, Vermote EF (1998) The MODIS land data storage, gridding and compositing methodology: level 2 grid. IEEE Transactions on Geoscience and Remote Sensing 36, 1324–1338.
The MODIS land data storage, gridding and compositing methodology: level 2 grid.Crossref | GoogleScholarGoogle Scholar |