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Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest

1
Canadian Forest Service, Great Lakes Forestry Centre, 1219 Queen St. E., Sault Ste. Marie, ON P6A 2E5, Canada
2
Department of Geography, King’s College London, Strand, London WC2R 2LS, UK
3
Natural Environment Research Council (NERC), National Centre for Earth Observation (NCEO) at King’s College London, Strand, London WC2R 2LS, UK
4
Ontario Ministry of Natural Resources & Forestry, Aviation Forest Fire & Emergency Services, Dryden Fire Management Headquarters, P.O. Box 850, Dryden, ON P8N 2Z5, Canada
*
Author to whom correspondence should be addressed.
Received: 27 June 2018 / Revised: 1 August 2018 / Accepted: 8 August 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Remote Sensing of Fire and Its Impact on Land and Atmosphere)
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Abstract

We develop a simulation model for prediction of forest canopy interception of upwelling fire radiated energy from sub-canopy smouldering vegetation fires. We apply this model spatially across the North American boreal forest in order to map minimum detectable sub-canopy smouldering fire size for three satellite fire detection systems (sensor and algorithm), broadly representative of the Moderate Resolution Imaging Spectroradiometer (MODIS), Sea and Land Surface Temperature Radiometer (SLSTR) and Visible Infrared Imaging Radiometer Suite (VIIRS). We evaluate our results according to fire management requirements for “early detection” of wildland fires. In comparison to the historic fire archive (Canadian National Fire Database, 1980–2017), satellite data with a 1000 m pixel size used with an algorithm having a minimum MWIR channel BT elevation threshold of 5 and 3 K above background (e.g., MODIS or SLSTR) proves incapable of providing a sub-0.2 ha smouldering fire detection 70% and 45% of the time respectively, even assuming that the sensor overpassed the relevant location within the correct time window. By contrast, reducing the pixel area by an order of magnitude (e.g., 375 m pixels of VIIRS) and using a 3.5 K active fire detection threshold offers the potential for successfully detecting all fires when they are still below 0.2 ha. Our results represent a ‘theoretical best performance’ of remote sensing systems to detect sub-canopy smoldering fires early in their lifetime. View Full-Text
Keywords: wildfire detection; remote sensing; infrared; forest canopy; leaf area index (LAI) wildfire detection; remote sensing; infrared; forest canopy; leaf area index (LAI)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Johnston, J.M.; Johnston, L.M.; Wooster, M.J.; Brookes, A.; McFayden, C.; Cantin, A.S. Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest. Fire 2018, 1, 28.

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