Unmanned Aerial Vehicles; Image Fusion; Deep Learning; Straw Flame Detection; Remote Sensing

Straw burning poses a significant threat to air quality and public health, primarily due to the emissions of smoke aerosols and associated hazards. Satellite-based remote sensing techniques often have limitations such as long revisit times and low spatial resolution to detect small-scale straw-burning sites. Unmanned aerial vehicles (UAVs) with imaging sensors offer a fast, cost-effective alternative for monitoring and detecting straw fires. By leveraging high-resolution multi-modal images, UAVs can provide valuable insights into the occurrence and spread of straw fires.