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Improved logistic models of crown fire probability in Canadian conifer forests

Daniel D. B. Perrakis https://orcid.org/0000-0002-8917-8694 A B * , Miguel G. Cruz https://orcid.org/0000-0003-3311-7582 C , Martin E. Alexander D , Chelene C. Hanes E , Dan K. Thompson E , Stephen W. Taylor A and Brian J. Stocks F
+ Author Affiliations
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A Natural Resources Canada - Canadian Forest Service, 506 West Burnside Road, Victoria, BC V8P 1Z5, Canada.

B Department of Geography, University of Victoria, Victoria, BC V8P 5C2, Canada.

C CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia.

D Wild Rose Fire Behaviour, 180–50434 Range Road 232, Leduc County, AB T4X 0L1, Canada.

E Natural Resources Canada - Canadian Forest Service, 1219 Queen Street East, Sault Ste. Marie, ON P6A 2E5, Canada.

F B.J. Stocks Wildfire Investigations Ltd., 128 Chambers Avenue, Sault Ste. Marie, ON P6A 4V4, Canada.


International Journal of Wildland Fire 32(10) 1455-1473 https://doi.org/10.1071/WF23074
Submitted: 12 May 2023  Accepted: 8 August 2023   Published: 25 August 2023



4 articles found in Crossref database.

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Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests
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Comparison of Different Models to Simulate Forest Fire Spread: A Case Study
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