Wildfire Detection : Review of Emerging Technologies and Methodologies

Abstract

Wildfires are uncontrolled fires that very quickly spread across forests, vegetation and grasslands powered or intensified by dry weather conditions, high temperatures and strong winds. These fires not only devastate ecosystems but also threaten human lives and infrastructure, which can lead to potential significant economic and environmental losses. With the climate change adding to their increasing frequency and intensity, the need for effective wildfire detection methods is becoming more crucial. Motivated on exploring solutions for this huge challenge in front of humans , in this study we explore the evolution of wildfire detection technologies, from traditional methods like manual surveillance to advanced systems incorporating satellite imagery, UAV (drones) monitoring, sensor networks, and analysis done by Artificial Intelligence. Each approach offers unique strengths and faces specific challenges, making it crucial to understand their roles in modern wildfire management. We explore how wildfire detection methods have developed over time, offering a clear and practical look at the various different solutions. By taking this approach, we hope to help spark fresh perspectives and inspire innovations potentially contributing to faster, more accurate and proactive wildfire detection strategies that help protect both natural ecosystems and human lives.