Bridging the Data Gap: A Comparative Analysis of Aerial and Ground-Based Air Quality Monitoring Systems and the Rationale for a Multi-Altitude Drone-Based Approach

Air pollution is a critical global health concern that affects communities in complex and often invisible ways. Traditional ground-based air quality monitoring stations provide accurate data but are limited by their fixed locations and inability to capture vertical variations in pollution. Low-cost sensors have made air monitoring more accessible but face challenges in accuracy and calibration. Recent advances in drone technology offer mobility and the ability to profile air quality at multiple altitudes. This paper introduces the concept of Multi-Altitude Mobile Air Quality Profiling (M-AMAP), which uses drones to overcome spatial and vertical data gaps left by conventional methods. By comparing fixed stations, low-cost sensors, and drone-based systems, the study highlights how M-AMAP, exemplified by the AetherScan system, provides real-time, high-resolution air quality data, empowering schools and communities to better understand and respond to air pollution. The integration of mobility and multi-altitude sensing marks a significant advance in environmental monitoring, with wide implications for public health, education, and urban planning.