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dc.contributor.authorZheng, Qianhui
dc.contributor.authorRoca Cladera, Josep
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Gestió i Valoració Urbana i Arquitectònica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
dc.date.accessioned2021-11-19T17:36:23Z
dc.date.issued2021
dc.identifier.citationZheng, Q.; Roca, J. A new approach to the estimation of the nighttime land surface temperature. A: SPIE International Symposium on Remote Sensing. "Remote Sensing Technologies and Applications in Urban Environments VI: 13-17 September 2021, online only, Spain". Washington: International Society for Photo-Optical Instrumentation Engineers (SPIE), 2021, p. 1-11. ISBN 9781510645721. DOI 10.1117/12.2596024.
dc.identifier.isbn9781510645721
dc.identifier.urihttp://hdl.handle.net/2117/356804
dc.description.abstractIn the context of global warming, the urban heat island (UHI) has become more and more serious, aggravating the severity of heat waves impacts, which not only cause pollution and increase energy consumption, but also pose a threat to human life and health. Many studies have shown that urban surfaces are warmer by absorbing more sun radiation than non-urban areas during the day and stay warm at night, which makes a larger UHI effect at night. Considering that urban surface characteristics are one of the main factors leading to UHI effect, it is necessary to study urban land surface temperature. Due to the lack of high-resolution nighttime remote sensing data, most of the studies on nighttime land surface temperature uses weather station data or Modis remote sensing images with a resolution of 1km, which cannot present more detailed urban climate behaviors, and there are certain limitations to urban climate research. Therefore, this paper aims to find a new approach to solve the problems existing in the traditional method and develop a new model to obtain a more accurate and higher resolution nighttime LST. In this paper, Landsat 8 daytime images (with spatial resolution of 30 square meters per pixel) will be used to build a night cooling model by means of multiple regression analysis in order to obtain the nighttime LST, and compare the day and night models to study the impact of UHI effects.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherInternational Society for Photo-Optical Instrumentation Engineers (SPIE)
dc.subjectÀrees temàtiques de la UPC::Urbanisme
dc.subject.lcshUrban heat island
dc.subject.lcshRemote sensing
dc.subject.otherNighttime UHI
dc.subject.otherLST
dc.subject.otherUrban Heat Island
dc.subject.otherEmissivity
dc.subject.otherLandsat 8
dc.subject.otherModis
dc.titleA new approach to the estimation of the nighttime land surface temperature
dc.typeConference report
dc.subject.lemacIlla de calor urbana
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. CPSV - Centre de Política de Sòl i Valoracions
dc.identifier.doi10.1117/12.2596024
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11864/1186408/A-new-approach-to-the-estimation-of-the-nighttime-land/10.1117/12.2596024.short
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac32125550
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//BIA2015-68623-R/ES/LA ISLA DE CALOR URBANA: EFECTOS EN EL CAMBIO CLIMATICO Y MODELADO PARA ESTRATEGIAS DE PLANEAMIENTO TERRITORIAL Y URBANO. APLICACION A LA REGION METROPOLITANA DE BARCELONA/
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105976RB-I00/ES/HERRAMIENTA DE PLANIFICACION ESPACIAL Y URBANA EXTREMA PARA EPISODIOS DE OLAS DE CALOR E INUNDACIONES REPENTINAS. CONSTRUYENDO LA RESILIENCIA PARA CIUDADES Y REGIONES/
dc.date.lift10000-01-01
local.citation.authorZheng, Q.; Roca, J.
local.citation.contributorSPIE International Symposium on Remote Sensing
local.citation.pubplaceWashington
local.citation.publicationNameRemote Sensing Technologies and Applications in Urban Environments VI: 13-17 September 2021, online only, Spain
local.citation.startingPage1
local.citation.endingPage11


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