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dc.contributor.authorLaukys, Jokūbas,
dc.contributor.authorMaršalka, Bernardas,
dc.contributor.authorDaugėla, Ignas,
dc.contributor.authorStankūnavičius, Gintautas,
dc.date.accessioned2023-12-22T07:06:40Z
dc.date.available2023-12-22T07:06:40Z
dc.date.issued2023.
dc.identifier.other(crossref_id)154249842
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153759
dc.description.abstractThe accurate and detailed measurement of the vertical temperature, humidity, pressure, and wind profiles of the atmosphere is pivotal for high-resolution numerical weather prediction, the determination of atmospheric stability, as well as investigation of small-scale phenomena such as urban heat islands. Traditional approaches, such as weather balloons, have been indispensable but are constrained by cost, environmental impact, and data sparsity. In this article, we investigate uncrewed aerial systems (UASs) as an innovative platform for in situ atmospheric probing. By comparing data from a drone-mounted semiconductor temperature sensor (TMP117) with traditional radiosonde measurements, we spotlight the UAS-collected atmospheric data’s accuracy and such system suitability for atmospheric surface layer measurement. Our research encountered challenges linked with the inherent delays in achieving ambient temperature readings. However, by applying specific data processing techniques, including smoothing methodologies like the Savitzky–Golay filter, iterative smoothing, time shift, and Newton’s law of cooling, we have improved the data accuracy and consistency. In this article, 28 flights were examined and certain patterns between different methodologies and sensors were observed. Temperature differentials were assessed over a range of 100 m. The article highlights a notable accuracy achievement of 0.16 ± 0.014 °C with 95% confidence when applying Newton’s law of cooling in comparison to a radiosonde RS41’s data. Our findings demonstrate the potential of UASs in capturing accurate high-resolution vertical temperature profiles. This work posits that UASs, with further refinements, could revolutionize atmospheric data collection.eng
dc.formatPDF
dc.format.extentp. 1-21.
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.mdpi.com/2504-446X/7/11/645
dc.titleDrone-based vertical atmospheric temperature profiling in urban environments /
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references31
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyAntano Gustaičio aviacijos institutas / Antanas Gustaitis Aviation Institute
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.researchfieldT 010 - Matavimų inžinerija / Measurement engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.studydirectionE14 - Aeronautikos inžinerija / Aerospace engineering
dc.subject.studydirectionE03 - Aplinkos inžinerija / Environmental engineering
dc.subject.studydirectionE04 - Matavimų inžinerija / Measurement engineering
dc.subject.vgtuprioritizedfieldsAE0202 - Aplinkos apsaugos technologijos / Environmental protection technologies
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.entemperature vertical profile
dc.subject.enUAS
dc.subject.entemperature inertia
dc.subject.enurban boundary layer
dc.subject.enradiosonde sounding
dcterms.sourcetitleDrones.
dc.description.issueiss. 11
dc.description.volumevol. 7
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi154249842
dc.identifier.doi10.3390/drones7110645
dc.identifier.elaba180845859


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