Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review
The Land Surface Temperature (LST) obtained by remote sensing data is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balan...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/4/884 |
| _version_ | 1797618429563240448 |
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| author | Rodrigo Fernandes Victor Nascimento Marcos Freitas Jean Ometto |
| author_facet | Rodrigo Fernandes Victor Nascimento Marcos Freitas Jean Ometto |
| author_sort | Rodrigo Fernandes |
| collection | DOAJ |
| description | The Land Surface Temperature (LST) obtained by remote sensing data is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZs) classification system to discriminate those urban areas. Therefore, our study aims to perform a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, 10,403 related articles were found in the scientific literature which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016, and present an increasing trend. Even though all articles reviewed somehow try to understand the Urban Heat Island phenomenon, in more than half of them, the SUHI calculation method was not mentioned. China was the country with the most studies. Images from Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, we conclude that LCZ mapping methodologies were accurate enough for SUHI studies considering the current climatic changes. Therefore, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST. |
| first_indexed | 2024-03-11T08:12:44Z |
| format | Article |
| id | doaj.art-54402656fce54fcfb4c5a37a7863aa40 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T08:12:44Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-54402656fce54fcfb4c5a37a7863aa402023-11-16T23:00:48ZengMDPI AGRemote Sensing2072-42922023-02-0115488410.3390/rs15040884Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic ReviewRodrigo Fernandes0Victor Nascimento1Marcos Freitas2Jean Ometto3Postgraduate Program in Remote Sensing (PPGSR), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, RS, BrazilCenter for Engineering, Modeling and Applied Social Sciences, Federal University of ABC (UFABC), Santo André 09210-580, SP, BrazilPPGSR/UFRGS, Porto Alegre 91501-970, RS, BrazilNational Institute for Space Research (INPE), São José dos Campos 12227-010, SP, BrazilThe Land Surface Temperature (LST) obtained by remote sensing data is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZs) classification system to discriminate those urban areas. Therefore, our study aims to perform a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, 10,403 related articles were found in the scientific literature which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016, and present an increasing trend. Even though all articles reviewed somehow try to understand the Urban Heat Island phenomenon, in more than half of them, the SUHI calculation method was not mentioned. China was the country with the most studies. Images from Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, we conclude that LCZ mapping methodologies were accurate enough for SUHI studies considering the current climatic changes. Therefore, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.https://www.mdpi.com/2072-4292/15/4/884SUHILSTLCZPRISMAVosViewer |
| spellingShingle | Rodrigo Fernandes Victor Nascimento Marcos Freitas Jean Ometto Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review Remote Sensing SUHI LST LCZ PRISMA VosViewer |
| title | Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review |
| title_full | Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review |
| title_fullStr | Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review |
| title_full_unstemmed | Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review |
| title_short | Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review |
| title_sort | local climate zones to identify surface urban heat islands a systematic review |
| topic | SUHI LST LCZ PRISMA VosViewer |
| url | https://www.mdpi.com/2072-4292/15/4/884 |
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