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Structural forest fire mapping: understanding the implications of terrain and policy using machine learning to enrich fire prevention strategies
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| 1.79 MB | Adobe PDF |
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Resumo(s)
This study investigates machine learning in wildfire risk management in Portugal.
Incorporating environmental, demographic, socio-economic, and policy data, it examines
wildfire dynamics and the shortcomings of conventional approaches. The research evaluates
Portugal's National Wildland Fire Management Plan and the effect of climate change on
wildfire risk. Findings indicate machine learning models enhance risk assessment accuracy and
that robust climate action, aligned with the Paris Agreement, could mitigate wildfire severity.
The study advocates for an integrated management strategy, blending technology, policy
analysis, and environmental knowledge, and offers recommendations for better wildfire
mitigation.
Descrição
Palavras-chave
Machine learning Gis Forest fire Portugal