Air pollution is a current problem for environment and public health. Its impact needs to be monitored in urban agglomerates and critical hot-spots such as airports. The green aviation at low air emissions is a sustainable goal for future. The air pollutants are monitored by governmental agencies that employ regulatory monitoring stations which are very accurate, but also very expensive, bulky, and maintenance demanding. On the contrary, the low-cost sensor-systems can offer a proper solution to cover large areas at high spatio-temporal resolution. However, the low-cost air quality sensors are less accurate than reference analyzers operating in the regulatory stations. To enhance the sensor accuracy, field calibration and data correction with reference instrumentation is a valid strategy to improve sensor data quality. In this study, a sensor-system with a selected set of air quality gas sensors (NO₂, O₃) and particulate matter (PM₁₀, PM_2.5) has been developed and deployed in a near-city space-airport at Grottaglie (Southern Italy) to perform measurements in a period of 4 months, from October 2021 to February 2022. The sensor-units installed in the Airbox system used for this measurements campaign are the GS+4NO2 (DD Scientific) for NO₂ measurements, the O3-3E1F (City Technology, Sensoric) for O₃ measurements, and the NextPM (Tera Sensor) for PM₁₀ and PM_2.5 measurements. Data gathered by the low-cost air quality sensors have been compared to reference instrumentations both co-located (ca. 1 m distance) together low-cost sensors (PM₁₀, R² > 0.87; PM_2.5, R² > 0.50) and a distributed regulatory network of 14 environmental stations operating in the local area around space-airport at a distance ranging from 3 to 26 km.