Computer Science and Engineering, Department of
ORCID IDs
0000-0001-8495-6402
0000-0002-7966-8585
0000-0002-9807-9858
0000-0003-4552-4935
0000-0002-3376-503X
0000-0002-0802-4838
0000-0002-8766-7873
0000-0002-8049-2644
0000-0002-1635-823X
0000-0002-6369-4009
0000-0001-9159-9028
0000-0003-4185-3571
0000-0003-3638-2664
0000-0003-4376-6818
0000-0002-6730-7766
0000-0002-9005-9510
0000-0002-2826-269X
0000-0002-7490-2432
0000-0003-0444-2300
0000-0001-5523-2376
0000-0002-0971-7759
0000-0002-7003-7429
0000-0002-0380-3269
0000-0003-4652-7150
Document Type
Article
Date of this Version
2019
Citation
Sensors 2019, 19, 2179
Abstract
Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation—a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 ±2.6 ◦C and 0.22 ± 0.59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS.
Comments
© 2019 by the authors.
Open access
doi:10.3390/s19092179