The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives
Open accessAbstract
Assessment of air quality has been traditionally conducted by ground based monitoring, and more recently by manned aircrafts and satellites. However, performing fast, comprehensive data collection near pollution sources is not always feasible due to the complexity of sites, moving sources or physical barriers. Small Unmanned Aerial Vehicles (UAVs) equipped with different sensors have been introduced for in-situ air quality monitoring, as they can offer new approaches and research opportunities in air pollution and emission monitoring, as well as for studying atmospheric trends, such as climate change, while ensuring urban and industrial air safety. The aims of this review were to: (1) compile information on the use of UAVs for air quality studies; and (2) assess their benefits and range of applications. An extensive literature review was conducted using three bibliographic databases (Scopus, Web of Knowledge, Google Scholar) and a total of 60 papers was found. This relatively small number of papers implies that the field is still in its early stages of development. We concluded that, while the potential of UAVs for air quality research has been established, several challenges still need to be addressed, including: the flight endurance, payload capacity, sensor dimensions/accuracy, and sensitivity. However, the challenges are not simply technological, in fact, policy and regulations, which differ between countries, represent the greatest challenge to facilitating the wider use of UAVs in atmospheric research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An association between air pollution and mortality in six U.S. cities
Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris, B. G., & Speizer, F. E. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312093292401 · Cited by 8,018 · cited 5×
“They can penetrate and deposit deep inside the lungs [2,41,42] and because their lifetime is longer than particles with a larger diameter, they can be transported further from their sources, due to slow removal from the atmosphere [43].”
BackgroundInfluentialComparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008) · The FASEB Journal · doi:10.1096/fj.07-9492lsf · Cited by 5,039
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-7017-2010 · Cited by 2,105 · cited 1×
“However, anthropogenic sources generally have a higher impact on health and the environment [34].”
Passage of inhaled particles into the blood circulation in humans
Nemmar, A., Hoet, P. H. M., Vanquickenborne, B., Dinsdale, D., Thomeer, M., Hoylaerts, M. F., Vanbilloen, H., Mortelmans, L., & Nemery, B. (2002) · Circulation · doi:10.1161/hc0402.104118 · Cited by 1,719
Theoretical analysis of three bio-inspired plume tracking algorithms
Lochmatter, T., & Martinoli, A. (2009) · 2009 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2009.5152686 · Cited by 42
Cited by
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
Security analysis of drones systems: Attacks, limitations, and recommendations
Yaacoub, J.-P., Noura, H., Salman, O., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100218 · Cited by 727
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Almalki, F. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J. (2023) · Mobile Networks and Applications · doi:10.1007/s11036-021-01790-w · Cited by 376
Greening internet of things for greener and smarter cities: a survey and future prospects
Alsamhi, S. H., Ma, O., Ansari, M. S., & Meng, Q. (2019) · Telecommunication Systems · doi:10.1007/s11235-019-00597-1 · Cited by 124
Gao, Y., Zhai, P., & Mosalam, K. M. (2021) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12741 · Cited by 105
“For example, the limited payload/carry-on capacity of a given small unmanned aerial vehicle (Villa et al., 2016) due to budget limits or external environmental factors forbids the deployment of high-performance GPUs and supporting modules.”
Background
Metadata
- Authors
- Villa, T., Gonzalez, F., Miljievic, B., Ristovski, Z., & Morawska, L.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-07-12
- Volume
- 16
- Issue
- 7
- Pages
- 1072
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2463753508
- Cited by
- 419
- References
- 5
- FWCI
- 25.16
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives. https://app.cochat.ai/papers/10.3390/s16071072
- The paper
- Villa, T., Gonzalez, F., Miljievic, B., Ristovski, Z., & Morawska, L. (2016). An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives. Sensors. https://doi.org/10.3390/s16071072
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.