Conventional electromagnetic field (EMF) assessment around Global System for Mobile Communications (GSM) antennas is typically performed from accessible ground-level or rooftop locations, which may not adequately capture the spatial variability around elevated directional antennas. This study presents an integrated unmanned aerial vehicle (UAV)-based platform for three-dimensional electromagnetic field-strength (EMFS) assessment, combining broadband EMFS measurements with real-time antenna detection, camera–Light Detection and Ranging (LiDAR) fusion, 3D mapping, telemetry and onboard computing. To enable autonomous antenna localisation, a dedicated antenna image dataset was created, and You Only Look Once (YOLO)-based detectors were evaluated for real-time antenna identification. The proposed system was validated through UAV-based and ground-based field measurements around GSM antennas. Although the measurements were collected at different spatial locations and are therefore not treated as paired observations, they provide a comparison between conventional ground sampling and spatially flexible aerial measurements. The UAV measurements exhibited substantially greater variability, including peak values exceeding 70 V/m, whereas ground measurements remained largely within 15–20 V/m. While broadband measurements alone are insufficient for formal compliance evaluation, the results suggest that fixed ground-level sampling may underestimate field variations around elevated directional antennas. The proposed platform provides a practical framework for three-dimensional EMFS monitoring, antenna inspection and compliance-oriented assessment.
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Işilak et al. (2026) studied this question.
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