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Use of data from the advanced spaceborne thermal emission and reflection radiometer (ASTER) for the study of the urban heat island (UHI) in Bragança (Portugal) (2000-2023)

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorAlmeida, Cátia Rodrigues de
dc.contributor.authorAlírio, João
dc.contributor.authorGonçalves, Artur
dc.contributor.authorTeodoro, Ana Cláudia M.
dc.date.accessioned2026-02-20T16:21:58Z
dc.date.available2026-02-20T16:21:58Z
dc.date.issued2025
dc.description.abstractThe Urban Heat Island (UHI) effect refers to the temperature difference between urban and surrounding rural areas, with higher temperatures in urban areas, especially after sunset. The Surface Urban Heat Island (SUHI), a proxy for UHI, can be evaluated using Remote Sensing (RS) data by calculating the Land Surface Temperature (LST). Bragança (Portugal) has an in situ network, with 23 sensors installed in 2011, classified into seven different Local Climate Zones (LCZs), to measure Air Temperature (Tair). The primary objectives of this study were to: i) calculate the LST using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data available on Google Earth Engine (GEE) from 2000-2023 at these 23 points, divided into spring/summer (a); and autumn/winter (b); ii) calculate and analyze the Intensity of SUHI (SUHIint) (2000-2023), using LST, based on the temperature difference recorded at each sensor compared to the average temperature at the Rural Areas (RCD) sensors, and evaluate the thermal behavior in the LCZs; iii) calculate the UHI (UHIint), using Tair data; and iv) correlate SUHIint and UHIint (2011-2023). As a result, 17 images from (a) and four from (b) were processed, and the highest LST medians were associated with classes featuring anthropogenic elements in both, with (a) being more heterogeneous. Comparisons between SUHIint and UHIint, were obtained in 13 days, only from (a). The highest median temperature values were in anthropogenic classes. The correlation between SUHIint and UHIint was "strong" (74%) and "very strong" (26%), confirming their similarity in thermal behaviour.eng
dc.description.sponsorshipThis work is supported by national funding awarded by FCT - Foundation for Science and Technology, I.P., projects UIDB/04683/2020 (https://doi.org/10.54499/UIDB/04683/2020), CIMO (UIDB/00690/2020) and SusTEC (LA/P/0007/2020). Cátia Rodrigues de Almeida was financially supported by Portuguese national funds through FCT (Grant: PRT/BD/153518/2021).
dc.identifier.citationAlmeida, Cátia Rodrigues de; Alírio, João; Gonçalves, Artur; Teodoro, Ana Cláudia M. (2025). Use of data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) for the study of the Urban Heat Island (UHI) in Bragança (Portugal) (2000-2023). Earth Resources and Environmental Remote Sensing/GIS Applications XV 2024. 13197, p. 1-10
dc.identifier.doi10.1117/12.3030953
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10198/35817
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSPIE
dc.relationMountain Research Center
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relation.ispartofEarth Resources and Environmental Remote Sensing/GIS Applications XV
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectAdvanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)
dc.subjectLand Surface Temperature (LST)
dc.subjectUrban Heat Island (UHI)
dc.subjectGoogle Earth Engine (GEE)
dc.titleUse of data from the advanced spaceborne thermal emission and reflection radiometer (ASTER) for the study of the urban heat island (UHI) in Bragança (Portugal) (2000-2023)eng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleMountain Research Center
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage10
oaire.citation.startPage1
oaire.citation.titleEarth Resources and Environmental Remote Sensing/GIS Applications XV 2024
oaire.citation.volume13197
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
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
relation.isAuthorOfPublication45f8c47c-b6ad-499a-99e7-4057e7aa8c2a
relation.isAuthorOfPublication.latestForDiscovery45f8c47c-b6ad-499a-99e7-4057e7aa8c2a
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication.latestForDiscovery29718e93-4989-42bb-bcbc-4daff3870b25

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