Systematic review of UAV-assisted airborne particulate matter measurement in urban areas

This systematic review aimed to investigate the applications of Unmanned Aerial Vehicle (UAV) for the measurement of airborne Particulate Matter (PM) concentrations in urban environments. To achieve this aim, a systematic literature review based on the Protocol of Preferred Reporting Items for Syste...

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Published in:REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
Main Authors: Gohari, Adel; Ahmad, Anuar B.; Mokhtar, Kasypi; Manan, Teh Sabariah binti Abd; Oluwatosin, Oloruntobi O.; Gismalla, Mohammed S. M.; Latip, Amir Sharifuddin Ab; Rostami, Amir; Sholagberu, Abdulkadir T.; Nahi, Mohammed Hadi
Format: Review
Language:English
Published: ELSEVIER 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001333536600001
author Gohari
Adel; Ahmad
Anuar B.; Mokhtar
Kasypi; Manan
Teh Sabariah binti Abd; Oluwatosin
Oloruntobi O.; Gismalla
Mohammed S. M.; Latip
Amir Sharifuddin Ab; Rostami
Amir; Sholagberu
Abdulkadir T.; Nahi
Mohammed Hadi
spellingShingle Gohari
Adel; Ahmad
Anuar B.; Mokhtar
Kasypi; Manan
Teh Sabariah binti Abd; Oluwatosin
Oloruntobi O.; Gismalla
Mohammed S. M.; Latip
Amir Sharifuddin Ab; Rostami
Amir; Sholagberu
Abdulkadir T.; Nahi
Mohammed Hadi
Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
Environmental Sciences & Ecology; Remote Sensing
author_facet Gohari
Adel; Ahmad
Anuar B.; Mokhtar
Kasypi; Manan
Teh Sabariah binti Abd; Oluwatosin
Oloruntobi O.; Gismalla
Mohammed S. M.; Latip
Amir Sharifuddin Ab; Rostami
Amir; Sholagberu
Abdulkadir T.; Nahi
Mohammed Hadi
author_sort Gohari
spelling Gohari, Adel; Ahmad, Anuar B.; Mokhtar, Kasypi; Manan, Teh Sabariah binti Abd; Oluwatosin, Oloruntobi O.; Gismalla, Mohammed S. M.; Latip, Amir Sharifuddin Ab; Rostami, Amir; Sholagberu, Abdulkadir T.; Nahi, Mohammed Hadi
Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
English
Review
This systematic review aimed to investigate the applications of Unmanned Aerial Vehicle (UAV) for the measurement of airborne Particulate Matter (PM) concentrations in urban environments. To achieve this aim, a systematic literature review based on the Protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) is performed to analyze the academic literature related to UAV-assisted PM estimation and monitoring in cities. Using a search string, we searched the two core academic databases, including Web of Science and Scopus, for documents published before August 13, 2023. Of the 115 records identified, 22 met the inclusion criteria. The results have shown that UAVs are being implemented for two urban PM measurement categories, including traffic-related PM and atmospheric PM. Successful conduction of relevant experiments confirms the contribution of UAVs in the measurement of vertical PM distributions in cities, which enable us to represent the results in three-dimensional, high-resolution, and realtime. UAVs are used as stand-alone technology for traffic-related PM distribution monitoring. In atmospheric PM studies, UAVs were integrated with other measurement technologies (e.g., lidar) or incorporated into models (e.g., land use regression) to provide high-resolution representations of PM distribution in three dimensions. Vertical observations showed higher PM concentrations at lower altitudes than at higher altitudes in the majority of case studies in both measurement categories. Factors associated with PM concentrations were also identified.
ELSEVIER
2352-9385

2024
36

10.1016/j.rsase.2024.101368
Environmental Sciences & Ecology; Remote Sensing

WOS:001333536600001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001333536600001
title Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
title_short Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
title_full Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
title_fullStr Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
title_full_unstemmed Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
title_sort Systematic review of UAV-assisted airborne particulate matter measurement in urban areas
container_title REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
language English
format Review
description This systematic review aimed to investigate the applications of Unmanned Aerial Vehicle (UAV) for the measurement of airborne Particulate Matter (PM) concentrations in urban environments. To achieve this aim, a systematic literature review based on the Protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) is performed to analyze the academic literature related to UAV-assisted PM estimation and monitoring in cities. Using a search string, we searched the two core academic databases, including Web of Science and Scopus, for documents published before August 13, 2023. Of the 115 records identified, 22 met the inclusion criteria. The results have shown that UAVs are being implemented for two urban PM measurement categories, including traffic-related PM and atmospheric PM. Successful conduction of relevant experiments confirms the contribution of UAVs in the measurement of vertical PM distributions in cities, which enable us to represent the results in three-dimensional, high-resolution, and realtime. UAVs are used as stand-alone technology for traffic-related PM distribution monitoring. In atmospheric PM studies, UAVs were integrated with other measurement technologies (e.g., lidar) or incorporated into models (e.g., land use regression) to provide high-resolution representations of PM distribution in three dimensions. Vertical observations showed higher PM concentrations at lower altitudes than at higher altitudes in the majority of case studies in both measurement categories. Factors associated with PM concentrations were also identified.
publisher ELSEVIER
issn 2352-9385

publishDate 2024
container_volume 36
container_issue
doi_str_mv 10.1016/j.rsase.2024.101368
topic Environmental Sciences & Ecology; Remote Sensing
topic_facet Environmental Sciences & Ecology; Remote Sensing
accesstype
id WOS:001333536600001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001333536600001
record_format wos
collection Web of Science (WoS)
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