Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.uclim.2021.101068
Title: A novel methodology to obtain ambient temperatures using multi-rotor UAV-mounted sensors
Authors: Xu, R 
Zhang, W 
Wong, NH 
Tong, S 
Wu, X 
Issue Date: 1-Jan-2022
Publisher: Elsevier BV
Citation: Xu, R, Zhang, W, Wong, NH, Tong, S, Wu, X (2022-01-01). A novel methodology to obtain ambient temperatures using multi-rotor UAV-mounted sensors. Urban Climate 41 : 101068-101068. ScholarBank@NUS Repository. https://doi.org/10.1016/j.uclim.2021.101068
Abstract: Unmanned Aerial Vehicle (UAV)-mounted temperature sensors can collect a large amount of valuable 3-dimensional environmental data, especially at locations unsuitable for the installation of traditional weather stations. This paper developed a novel methodology to obtain accurate ambient temperature data using a multi-rotor UAV. Firstly, air temperature sensors and a multi-rotor UAV model were selected based on the objectives of this study. Secondly, field experiments were conducted to determine the influence of in-flight multi-rotor UAV on ambient temperature, to determine the most appropriate locations for the temperature sensor, namely underneath the multi-rotor UAV center and between the landing gears. The data collection, processing, and analysis methods were thus proposed. Thirdly, the accuracy of the proposed methodology was evaluated at a target height by comparing the measured result with that measured by a nearby weather station, and comparing the vertical profile of measured data with the data released by National Environment Agency (NEA) in Singapore. A satisfactory agreement between the two results was observed with an error of between 0 and 0.3 °C. In addition, a case study was conducted to compare ambient temperatures at various heights above different ground materials utilizing the proposed methodology in a park. Besides, the correlation analysis results provided the directions to improve the measurement accuracy.
Source Title: Urban Climate
URI: https://scholarbank.nus.edu.sg/handle/10635/225316
ISSN: 22120955
DOI: 10.1016/j.uclim.2021.101068
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