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Study of the urban heat island (UHI) using remote sensing data/techniques: a systematic review.

2021Journal article Open access
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dc.contributor.authorAlmeida, Cátia Rodrigues de
dc.contributor.authorTeodoro, Ana Cláudia
dc.contributor.authorGonçalves, Artur
dc.date.accessioned2021-10-29T10:53:31Z
dc.date.available2021-10-29T10:53:31Z
dc.date.issued2021
dc.description.abstractUrban Heat Islands (UHI) consist of the occurrence of higher temperatures in urbanized areas when compared to rural areas. During the warmer seasons, this effect can lead to thermal discomfort, higher energy consumption, and aggravated pollution effects. The application of Remote Sensing (RS) data/techniques using thermal sensors onboard satellites, drones, or aircraft, allow for the estimation of Land Surface Temperature (LST). This article presents a systematic review of publications in Scopus andWeb of Science (WOS) on UHI analysis using RS data/techniques and LST, from 2000 to 2020. The selection of articles considered keywords, title, abstract, and when deemed necessary, the full text. The process was conducted by two independent researchers and 579 articles, published in English, were selected. Qualitative and quantitative analyses were performed. Cfa climate areas are the most represented, as the Northern Hemisphere concentrates the most studied areas, especially in Asia (69.94%); Landsat products were the most applied to estimates LST (68.39%) and LULC (55.96%); ArcGIS (30.74%) was most used software for data treatment, and correlation (38.69%) was the most applied statistic technique. There is an increasing number of publications, especially from 2016, and the transversality of UHI studies corroborates the relevance of this topic.pt_PT
dc.description.sponsorshipThis work was funded by National Funds through the FCT-Foundation for Science and Technology and FEDER, under the projects UIDB/04683/2020 and PT2020 Program for financial support to CIMO UIDB/00690/2020. This work was funded by National Funds through the FCT-Foundation for Science and Technology and FEDER, under the projects UIDB/04683/2020 and PT2020 Program for financial support to CIMO UIDB/00690/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationStudy of the urban heat island (UHI) using remote sensing data/techniques: a systematic review Almeida, Cátia Rodrigues de; Teodoro, Ana Cláudia; Gonçalves, Artur (2021). Study of the urban heat island (UHI) using remote sensing data/techniques: a systematic review. Environments. ISSN 2076-3298. 8:10, p. 1-39pt_PT
dc.identifier.doihttps://doi.org/10.3390/environments8100105pt_PT
dc.identifier.issn2076-3298
dc.identifier.urihttp://hdl.handle.net/10198/24142
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMountain Research Center
dc.relationINSTITUTE OF EARTH SCIENCES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectReviewpt_PT
dc.subjectLSTpt_PT
dc.subjectLandsatpt_PT
dc.subjectMODISpt_PT
dc.subjectCorrelationpt_PT
dc.subjectRegressionpt_PT
dc.titleStudy of the urban heat island (UHI) using remote sensing data/techniques: a systematic review.pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleINSTITUTE OF EARTH SCIENCES
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04683%2F2020/PT
oaire.citation.issue10pt_PT
oaire.citation.startPage105pt_PT
oaire.citation.titleEnvironmentspt_PT
oaire.citation.volume8pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves
person.givenNameArtur
person.identifier.ciencia-idBC10-99F9-B30E
person.identifier.orcid0000-0002-4825-6692
person.identifier.scopus-author-id57195970669
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
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