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Dataset Information

Experimental Flight Patterns Evaluation for a UAV-Based Air Pollutant Sensor.


ABSTRACT: The use of drones in combination with remote sensors have displayed increasing interest over the last years due to its potential to automate monitoring processes. In this study, a novel approach of a small flying e-nose is proposed by assembling a set of AlphaSense electrochemical-sensors to a DJI Matrix 100 unmanned aerial vehicle (UAV). The system was tested on an outdoor field with a source of NO2. Field tests were conducted in a 100 m2 area on two dates with different wind speed levels varying from low (0.0-2.9m/s) to high (2.1-5.3m/s), two flight patterns zigzag and spiral and at three altitudes (3, 6 and 9 m). The objective of this study is to evaluate the sensors responsiveness and performance when subject to distinct flying conditions. A Wilcoxon rank-sum test showed significant di

SUBMITTER: Araujo JO 

PROVIDER: S-EPMC7464112 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature