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Leveraging Drone-Based Thermal Imagery and Artificial Intelligence to Advance Wildland Fire Behavior Quantification and Prediction
Background: Quantifying and predicting wildland fire behavior is crucial for fire management, ecological research and mitigating wildfire impacts. Rate of spread (ROS), fireline intensity (FI) and fire radiative power (FRP) are key fire behavior metrics. Aims: This study leverages uncrewed aircraft
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