2024
DOI: 10.1029/2024gl110381
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Modeling the Probability of Dry Lightning‐Induced Wildfires in Tasmania: A Machine Learning Approach

Amila M. K. Wickramasinghe,
Matthias M. Boer,
Calum X. Cunningham
et al.

Abstract: Dry lightning is a prevalent episodic natural ignition source for wildfires, particularly in remote regions where such fires can escalate into uncontrollable events, burning extensive areas. In this study, we aimed to understand the interplay of environmental, fuel, and geographical factors in evaluating the probability of fire initiation following dry lightning strikes in Tasmania, Australia. We integrated dry lightning, active fire records, and gridded data on fire weather, fuel, and topography into a binary… Show more

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