Publication
Remote sensing image-based analysis of the urban heat island effect in Bragança, Portugal
| dc.contributor.author | Almeida, Cátia Rodrigues de | |
| dc.contributor.author | Furst, Leonardo | |
| dc.contributor.author | Gonçalves, Artur | |
| dc.contributor.author | Teodoro, Ana Cláudia | |
| dc.date.accessioned | 2023-05-27T08:04:40Z | |
| dc.date.available | 2023-05-27T08:04:40Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Urban Heat Islands increase surface temperatures which impact the health and well-being of urban populations. Radiative forcing is impacted by changes to the land surface associated with urbanization that are particularly significant immediately after sunset. This paper aimed to analyze the behavior of UHI in different Local Climate Zones (LCZ) in Bragança city (Portugal), using Air Temperature (Ta), satellite images (Landsat 8), and on-site data. The methodology included a seasonal approach, integrating data with different scales (spatial, radiometric, and spectral) and qualitative and quantitative analyses. Google Earth Engine (GEE) optimized the processing time and computation requirement to generate the Land Surface Temperature (LST) maps. The integration of data with different scales corroborated the complementation of information/analysis and detected the correlation between the Ta and LST. However, the identification of the UHI was compromised due to the time of the passage of Landsat 8, and it was identified as the Urban Cool Island (UCI), a complementary effect of UHI, supporting the results of previous studies and for the use of Remote Sensing (RS) for thermal effects analysis. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) and FEDER for financial support through national funds under the projects UIDB/04683/2020, FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020) and SusTEC (LA/P/0007/2020). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | https://doi.org/10.3390/environments9080098 | pt_PT |
| dc.identifier.eissn | 2076-3298 | |
| dc.identifier.uri | http://hdl.handle.net/10198/28387 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | LA/P/0007/2020 | pt_PT |
| dc.relation | Mountain Research Center | |
| dc.relation | Mountain Research Center | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Climate change | pt_PT |
| dc.subject | Land surface temperature | pt_PT |
| dc.subject | Landsat | pt_PT |
| dc.subject | Google earth engine | pt_PT |
| dc.subject | Correlation | pt_PT |
| dc.subject | Regression | pt_PT |
| dc.title | Remote sensing image-based analysis of the urban heat island effect in Bragança, Portugal | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT | |
| oaire.citation.issue | 8 | pt_PT |
| oaire.citation.title | Environments | pt_PT |
| oaire.citation.volume | 9 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Furst | |
| person.familyName | Gonçalves | |
| person.givenName | Leonardo | |
| person.givenName | Artur | |
| person.identifier.ciencia-id | A41D-C8EF-8809 | |
| person.identifier.ciencia-id | BC10-99F9-B30E | |
| person.identifier.orcid | 0000-0002-0313-4915 | |
| person.identifier.orcid | 0000-0002-4825-6692 | |
| person.identifier.scopus-author-id | 57195970669 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 3f5a5cfc-304b-405b-8d80-64c584bd249e | |
| relation.isAuthorOfPublication | 45f8c47c-b6ad-499a-99e7-4057e7aa8c2a | |
| relation.isAuthorOfPublication.latestForDiscovery | 3f5a5cfc-304b-405b-8d80-64c584bd249e | |
| relation.isProjectOfPublication | 29718e93-4989-42bb-bcbc-4daff3870b25 | |
| relation.isProjectOfPublication | 0aac8939-28c2-46f4-ab6b-439dba7f9942 | |
| relation.isProjectOfPublication.latestForDiscovery | 0aac8939-28c2-46f4-ab6b-439dba7f9942 |
