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Mu Hyun Jung

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Articles

Improving UAV-based air quality measurements through machine learning calibration of downwash effects

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By Sangdeok Seo, Chan Ju Kho, So Yeon Kim, Jae Lee, Mu Hyun Jung
| Nature Verified
Abstract Air pollution is a major global health risk requiring high-resolution monitoring for effective management. Unmanned Aerial Vehicle (UAV) monitoring systems with Low-Cost Sensors (LCS) have attracted significant attention as an efficient approach for three-dimensional, high-resolution air quality monitoring. However, the downwash generated by UAV propellers induces airflow disturbances, leading to measurement errors.
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