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

Fernandes-Oliveira, Afonso; Fachada, Nuno; Matos-Carvalho, João P.2025Springer Cham

Informações chave

Autores:

Fernandes-Oliveira, Afonso; Fachada, Nuno (Nuno Fachada); Matos-Carvalho, João P.

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 :

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

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