Forest Fire Early Detection Using Thermal Imaging and AI-Based Predictive Analytics Models

Prathiba Lakshmi, N (2026) Forest Fire Early Detection Using Thermal Imaging and AI-Based Predictive Analytics Models. In: AI-Driven Drone Systems: Intelligent Applications in Smart Infrastructure, Healthcare, Security, and Sustainable Environments. 1 ed. RAD Emics, India, pp. 188-216. ISBN 9349552205

[thumbnail of Environmental Humanities - Disaster Management] Text (Environmental Humanities - Disaster Management)
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[thumbnail of Environmental Humanities - Disaster Management] Text (Environmental Humanities - Disaster Management)
AI-Driven Drone Systems Intelligent Applications in Smart Infrastructure, Healthcare, Security, and Sustainable Environments.pdf - Published Version

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Abstract

This chapter explains how the integration of thermal imaging and artificial intelligence (AI) can improve the early detection and prediction of forest fires. Using multispectral thermal imaging and AI-based predictive analytics, these systems can identify fires more accurately, analyze weather and terrain conditions, predict fire behavior, and support faster disaster response. The chapter also discusses challenges such as environmental interference and data integration while emphasizing the need for collaboration among governments, researchers, and industries. Overall, it highlights the potential of advanced AI and imaging technologies to strengthen forest fire management, protect ecosystems, and reduce risks to human life.

Item Type: Book Section
Subjects: English > Contemporary Writings
Domains: English
Depositing User: Mr IR Admin
Last Modified: 11 May 2026 15:24
URI: https://ir.vistas.ac.in/id/eprint/18106

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