Abstract
Air-quality measurements performed using unmanned aerial vehicles (UAVs) enable observations that are difficult or impossible to obtain with stationary monitoring systems. Although low-cost (Formula presented.) sensors are widely applied in such work, their accuracy is restricted by environmental influences. This study assesses the metrological performance of inexpensive NDIR (Formula presented.) sensors using a controlled test chamber. The TESTO probe results show strong temperature sensitivity, with (Formula presented.) indications varying by approximately 17 ppm per 1 °C. Measurements at (Formula presented.) °C produced implausibly low concentrations of 275–280 ppm, despite the global baseline being about 430 ppm. Electromagnetic interference and humidity produced negligible effects on the indications. No differences appeared between measurements taken during UAV flight, after landing, or under laboratory conditions. Comparison with the manufacturer-calibrated Figaro CDM7160 sensor revealed a substantial shift in the characteristic at the lowest (Formula presented.) concentration level and a marked reduction in sensitivity, which shows that the sensor needs recalibration. The findings confirm that investigated low-cost (Formula presented.) sensors provide reasonably accurate absolute measurements only when environmental conditions are correctly compensated. However, their relatively high measurement uncertainty prevents reliable detection of small concentration changes and therefore limits their suitability for precise UAV-based air-quality studies.
| Original language | English |
|---|---|
| Article number | 2988 |
| Journal | Sensors |
| Volume | 26 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - May 2026 |
Keywords
- CO
- UAV
- electromagnetic interference
- measurement error
- temperature compensation
- uncertainty
ASJC Scopus subject areas
- Analytical Chemistry
- Information Systems
- Atomic and Molecular Physics, and Optics
- Biochemistry
- Instrumentation
- Electrical and Electronic Engineering
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