Capítulo de Livro
Detection and Characterization of Plume-Dominated Wildfires
Technological Innovation for AI-Powered Cyber-Physical Systems - IFIP Advances in Information and Communication Technology
2025 — Springer Cham
—Informações chave
Autores:
Publicado em
26/06/2025
Resumo
Extreme wildfires are increasingly hazardous, particularly plume-dominated fires, which exhibit unpredictable behavior due to their self-sustaining convective columns. Despite their significance, these fires remain poorly understood, hindered by limited observational data and fragmented remote sensing approaches. This paper proposes an Artificial Intelligence-based method adaptive framework for real-time detection and characterization of plume-dominated wildfires using satellite and aerial imagery. The framework focuses on three critical aspects: fire intensity, vertical plume development, and rotational motion. Leveraging satellite data, alongside aerial datasets, the methodology dynamically adapts to available data to ensure accurate assessments. The final output is a risk-graded map identifying zones of active or potential plume-dominated activity, and a deeper characterization of the plume internal mechanisms. The proposed framework has significant potential for improving wildfire prediction, management, and mitigation strategies, contributing to improved safety and resource allocation in wildfire-prone regions.
Detalhes da publicação
Autores da comunidade :
Nuno Fachada
ist145239
Editora
Springer Cham
Ligação para a versão da editora
http://dx.doi.org/10.1007/978-3-031-97051-1_10
Título do contentor da publicação
Technological Innovation for AI-Powered Cyber-Physical Systems - IFIP Advances in Information and Communication Technology
Volume
759
Primeira página ou número de artigo
143
Última página
153
ISBN
978-3-031-97051-1
Domínio Científico (FOS)
electrical-engineering-electronic-engineering-information-engineering - Engenharia Eletrotécnica, Eletrónica e Informática
Palavras-chave
- Fires
- Risk assessment
- Remote sensing
- Multispectral imagery
- Geoscience
Idioma da publicação (código ISO)
eng - Inglês
Acesso à publicação:
Acesso Restrito