Unmanned Aerial Vehicles for Air Pollution Monitoring: A survey
Motlagh, Naser Hossein; Kortoçi, Pranvera; Su, Xiang; Lovén, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu (2023-06-28)
Motlagh, Naser Hossein
Kortoçi, Pranvera
Su, Xiang
Lovén, Lauri
Hoel, Hans Kristian
Haugsvær, Sindre Bjerkestrand
Srivastava, Varun
Gulbrandsen, Casper Fabian
Nurmi, Petteri
Tarkoma, Sasu
IEEE
28.06.2023
N. Hossein Motlagh et al., "Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey," in IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21687-21704, 15 Dec.15, 2023, doi: 10.1109/JIOT.2023.3290508.
https://creativecommons.org/licenses/by/4.0/
© 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
© 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312073533
https://urn.fi/URN:NBN:fi:oulu-202312073533
Tiivistelmä
Abstract:
Unmanned Aerial Vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring emissions from fixed and mobile sources. Despite the numerous advantages of using UAVs, their use, however, presents several challenges that limit their broader adoption. For example, UAVs require efficient algorithms and components to minimize power consumption, the overall payload used on UAVs needs to be small to ensure optimal portability which poses limitations on the sensors that can be integrated with UAVs, and there is a need for specialized algorithms, e.g., for identifying and locating air pollution sources. Currently, most solutions for UAV-based air quality monitoring focus on specific challenges or demonstrating the potential of using UAVs, and there is a lack of comprehensive overview of the research field and its open challenges. In this paper, we contribute a systematic review of UAV-based air quality monitoring, highlighting and analyzing technical solutions and challenges, and identifying open challenges with the aim of providing a research roadmap for the path forward.
Unmanned Aerial Vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring emissions from fixed and mobile sources. Despite the numerous advantages of using UAVs, their use, however, presents several challenges that limit their broader adoption. For example, UAVs require efficient algorithms and components to minimize power consumption, the overall payload used on UAVs needs to be small to ensure optimal portability which poses limitations on the sensors that can be integrated with UAVs, and there is a need for specialized algorithms, e.g., for identifying and locating air pollution sources. Currently, most solutions for UAV-based air quality monitoring focus on specific challenges or demonstrating the potential of using UAVs, and there is a lack of comprehensive overview of the research field and its open challenges. In this paper, we contribute a systematic review of UAV-based air quality monitoring, highlighting and analyzing technical solutions and challenges, and identifying open challenges with the aim of providing a research roadmap for the path forward.
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