ForestML: A Real-Time Solution Proposal for UAV acquired Multispectral Imagery Analysis using Machine Learning

The escalating threat of wildfires in Mediterranean Europe, particularly in Portugal, highlights the urgent need for innovative fire prediction and forest surveillance approaches. This paper introduces ForestML, a real-time architecture leveraging Unmanned Aerial Vehicles (UAVs) equipped with multispectral cameras and machine learning algorithms to forecast and analyze forests from an aerial perspective. This promising ForestML, which comprises Ground Station, Backstation, and Web Server components, facilitates real-time wildfire risk assessment and prediction, enabling timely decision-making to mitigate fire-related risks.