Publicação
LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: case study of Lisbon
| dc.contributor.author | Matias, Márcia | |
| dc.contributor.author | Lopes, António | |
| dc.date.accessioned | 2024-02-22T11:20:15Z | |
| dc.date.available | 2024-02-22T11:20:15Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This study investigates microclimate changes induced by urbanization, with a focus on the Urban Heat Island (UHI) phenomenon and the crucial role of Land Surface Temperature (LST). Using the Landsat 8 Land Surface Temperature and Reflectance dataset obtained from the USGS Earth Explorer platform, the research evaluates LST and exoatmospheric albedo characteristics within Lisbon's Metropolitan Area across a defined set of thermal periods from 2015 to 2020. Among the findings, the Bare Soil or Sand LCZ consistently exhibits heightened LST values, while the Large Low Rise urban LCZ consistently records the highest temperatures, exceeding 54 °C and 55 °C in spring and summer and 43.8 °C and 37.8 °C in autumn and winter, respectively. These insights, derived from a meticulous examination of the Landsat 8 dataset and advanced processing methods, bear critical implications for climate change adaptation strategies, providing valuable insights to mitigate the adverse effects of the Urban Heat Island and foster sustainable urban development practices. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Matias, M., & Lopes, A. (2024). LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: case study of Lisbon. Remote Sensing Applications: Society and Environment, 34, 101163. https://doi.org/10.1016/j.rsase.2024.101163 | pt_PT |
| dc.identifier.doi | 10.1016/j.rsase.2024.101163 | pt_PT |
| dc.identifier.issn | 2352-9385 | |
| dc.identifier.uri | http://hdl.handle.net/10451/62806 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | Alterações climáticas urbanas: o impacte das superfícies termicamente pouco eficientes nas Ilhas de Calor e no conforto térmico em Lisboa | |
| dc.relation | Centre of Geographical Studies | |
| dc.relation | Centre of Geographical Studies | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2352938524000272 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Land surface temperature | pt_PT |
| dc.subject | Local climate zones | pt_PT |
| dc.subject | Landsat 8 | pt_PT |
| dc.subject | Exoatmospheric albedo | pt_PT |
| dc.subject | Urban heat island | pt_PT |
| dc.title | LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: case study of Lisbon | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | 2021.05248.BD | |
| oaire.awardNumber | UIDB/00295/2020 | |
| oaire.awardNumber | UIDP/00295/2020 | |
| oaire.awardTitle | Alterações climáticas urbanas: o impacte das superfícies termicamente pouco eficientes nas Ilhas de Calor e no conforto térmico em Lisboa | |
| oaire.awardTitle | Centre of Geographical Studies | |
| oaire.awardTitle | Centre of Geographical Studies | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//2021.05248.BD/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00295%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00295%2F2020/PT | |
| oaire.citation.startPage | 101163 | pt_PT |
| oaire.citation.title | Remote Sensing Applications: Society and Environment | pt_PT |
| oaire.citation.volume | 34 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Neves Matias | |
| person.familyName | Lopes | |
| person.givenName | Márcia Alexandra | |
| person.givenName | António | |
| person.identifier | 216928 | |
| person.identifier.ciencia-id | 2A19-53EA-EB66 | |
| person.identifier.ciencia-id | 1D15-FB93-4687 | |
| person.identifier.orcid | 0000-0003-3090-5559 | |
| person.identifier.orcid | 0000-0002-9357-7639 | |
| person.identifier.rid | F-3217-2010 | |
| person.identifier.scopus-author-id | 55951850000 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| 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 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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