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A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data

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A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data

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dc.contributor.author Sobrino, José Antonio es_ES
dc.contributor.author Irakulis-Loitxate, Itziar es_ES
dc.date.accessioned 2023-04-26T18:01:16Z
dc.date.available 2023-04-26T18:01:16Z
dc.date.issued 2020-06 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/192979
dc.description.abstract [EN] Retrieval of land surface temperature (LST) from satellite data allows to estimate the surface urban heat island (SUHI) as the difference between the LST obtained in the urban area and the LST of its surroundings. However, this definition depends on the selection of the urban and surroundings references, which translates into greater difficulty in comparing SUHI values in different urban agglomerations across the world. In order to avoid this problem, a methodology is proposed that allows reliable quantification of the SUHI. The urban reference is obtained from the European Space Agency Climate Change Initiative Land Cover and three surroundings references are considered; that is, the urban adjacent (Su), the future adjacent (Sf), and the peri-urban (Sp), which are obtained from mathematical expressions that depend exclusively on the urban area. In addition, two formulations of SUHI are considered: SUHIMAX and SUHIMEAN, which evaluate the maximum and average SUHI of the urban area for each of the three surrounding references. As the urban population growth phenomenon is a world-scale problem, this methodology has been applied to 71 urban agglomerations around the world using LST data obtained from the sea and land surface temperature radiometer (SLSTR) on board Sentinel-3A. The results show average values of SUHIMEAN of (1.8 ± 0.9) °C, (2.6 ± 1.3) °C, and (3.1 ± 1.7) °C for Su, Sf, and Sp, respectively, and an average difference between SUHIMAX and SUHIMEAN of (3.1 ± 1.1) °C. To complete the study, two additional indices have been considered: the Urban Thermal Field Variation Index (UFTVI) and the Discomfort Index (DI), which proved to be essential for understanding the SUHI phenomenon and its consequences on the quality of life of the inhabitants. es_ES
dc.description.sponsorship This research was funded by Ministerio de Ciencia, Innovacion y Universidades project ESP2017-85770-R. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Remote Sensing es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Thermal remote sensing es_ES
dc.subject Land surface temperature es_ES
dc.subject Urban heat island es_ES
dc.subject SLSTR es_ES
dc.subject Sentinel-3 es_ES
dc.title A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs12122052 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-85770-R/ES/CIENCIA Y TECNOLOGIA PARA UN INSTRUMENTO TERMICO DE ALTA RESOLUCION EN EL CONTEXTO DE MISIONES EUROPEAS Y DE LA ESA: SENTINEL-8, TMAX, TRISHNA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Sobrino, JA.; Irakulis-Loitxate, I. (2020). A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data. Remote Sensing. 12(12):1-29. https://doi.org/10.3390/rs12122052 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/rs12122052 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 29 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\429490 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.subject.ods 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles es_ES


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