Review Open Access

Review on Drone-Assisted Air-Quality Monitoring Systems

Drones and Autonomous Vehicles. 2023, 1(1), 10005;
Academy of Scientific and Innovative Research, Ghaziabad 201002, India
CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur 440020 India
CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Kolkata 700107 India
CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani 333031 India
Department Of Physical Sciences, Banasthali University, Vanasthali 204022, India
Authors to whom correspondence should be addressed.

Received: 27 Jul 2023    Accepted: 30 Oct 2023    Published: 08 Nov 2023   


Drone-aided systems have gained popularity in the last few decades due to their stability in various commercial sectors and military applications. The conventional ambient air quality monitoring stations (AAQMS) are immovable and big. This drawback has been significantly overcome by drone-aided low-cost sensor (LCS) modules. As a result, much research work, media information, and technical notes have been released on drone-aided air quality and ecological monitoring and mapping applications. This work is a sincere effort to provide a comprehensive and structured review of commercial drone applications for air quality and environmental monitoring. The collected scientific and non-scientific information was divided according to the different drone models, sensor types, and payload weights. The payload component is very critical in stablility of the multirotor drones. Most study projects installed inexpensive sensors on drones according to the avilibility of the space on drone frame. After reviewing of multiple environmental applications the common payload range was 0 gm to 4000 gm. The crucial elements are addressed, including their relation to meteorological factors, air isokinetics, propeller-induced downwash, sensor mounting location, ramifications etc. As a result, technical recommendations for AQ monitoring assisted by drones are addressed in the debate part. This work will help researchers and environmentalists choose sensor-specific payloads for drones and mounting locations. Also, it enables advanced methods of monitoring parameters that help policymakers to frame advanced protocols and sensor databases for the environment and ecology.


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