{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T10:36:04Z","timestamp":1782124564022,"version":"3.54.5"},"reference-count":72,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,5]],"date-time":"2023-02-05T00:00:00Z","timestamp":1675555200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal N\u00edvel Superior (CAPES)","award":["88887.645454\/2021-00"],"award-info":[{"award-number":["88887.645454\/2021-00"]}]},{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal N\u00edvel Superior (CAPES)","award":["2017\/22269-2"],"award-info":[{"award-number":["2017\/22269-2"]}]},{"name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo (FAPESP)","award":["88887.645454\/2021-00"],"award-info":[{"award-number":["88887.645454\/2021-00"]}]},{"name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo (FAPESP)","award":["2017\/22269-2"],"award-info":[{"award-number":["2017\/22269-2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs15040884","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T05:29:05Z","timestamp":1675661345000},"page":"884","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review"],"prefix":"10.3390","volume":"15","author":[{"given":"Rodrigo","family":"Fernandes","sequence":"first","affiliation":[{"name":"Postgraduate Program in Remote Sensing (PPGSR), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3311-8190","authenticated-orcid":false,"given":"Victor","family":"Nascimento","sequence":"additional","affiliation":[{"name":"Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC (UFABC), Santo Andr\u00e9 09210-580, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9879-2584","authenticated-orcid":false,"given":"Marcos","family":"Freitas","sequence":"additional","affiliation":[{"name":"PPGSR\/UFRGS, Porto Alegre 91501-970, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4221-1039","authenticated-orcid":false,"given":"Jean","family":"Ometto","sequence":"additional","affiliation":[{"name":"National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos 12227-010, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,5]]},"reference":[{"key":"ref_1","unstructured":"United Nations (2022, August 09). Available online: https:\/\/www.un.org\/development\/desa\/en\/news\/population\/2018-revision-of-world-urbanization-prospects.html."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"102533","DOI":"10.1016\/j.apgeog.2021.102533","article-title":"Diurnal and Seasonal Trends and Associated Determinants of Surface Urban Heat Islands in Large Bangladesh Cities","volume":"135","author":"Dewan","year":"2021","journal-title":"Appl. Geogr."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sobrino, J.A., and Irakulis, I.A. (2020). Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data. Remote Sens., 12.","DOI":"10.3390\/rs12122052"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"123767","DOI":"10.1016\/j.jclepro.2020.123767","article-title":"Optimizing Local Climate Zones to Mitigate Urban Heat Island Effect in Human Settlements","volume":"275","author":"Yang","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, D., Liu, L., Liang, Z., Shen, J., Wei, F., and Li, S. (2021). Spatiotemporal Characteristics of the Surface Urban Heat Island and Its Driving Factors Based on Local Climate Zones and Population in Beijing, China. Atmosphere, 12.","DOI":"10.3390\/atmos12101271"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1175\/BAMS-D-11-00019.1","article-title":"Local Climate Zones for Urban Temperature Studies","volume":"93","author":"Stewart","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"637455","DOI":"10.3389\/fenvs.2021.637455","article-title":"LCZ Generator: A Web Application to Create Local Climate Zone Maps","volume":"9","author":"Demuzere","year":"2021","journal-title":"Front. Environ. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"263","DOI":"10.19177\/rgsa.v9e0I2020263-286","article-title":"IDENTIFICA\u00c7\u00c3O E CARACTERIZA\u00c7\u00c3O DA PAISAGEM URBANA E ENTORNO RURAL DE CAMPO GRANDE","volume":"9","author":"Souza","year":"2020","journal-title":"Rev. Gest\u00e3o Sustentabilidade Ambient."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Lehnert, M., Savi\u0107, S., Milo\u0161evi\u0107, D., Dunji\u0107, J., and Geleti\u010d, J. (2021). Mapping Local Climate Zones and Their Applications in European Urban Environments: A Systematic Literature Review and Future Development Trends. Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10040260"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Xue, J., You, R., Liu, W., Chen, C., and Lai, D. (2020). Applications of Local Climate Zone Classification Scheme to Improve Urban Sustainability: A Bibliometric Review. Sustainability, 12.","DOI":"10.3390\/su12198083"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Viana, J., Santos, J., Neiva, R., Souza, J., Duarte, L., Teodoro, A., and Freitas, A. (2017). Remote Sensing in Human Health: A 10-Year Bibliometric Analysis. Remote Sens., 9.","DOI":"10.3390\/rs9121225"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Sharifi, A., Dong, X., Shen, L., and He, B.-J. (2021). Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization. Remote Sens., 13.","DOI":"10.3390\/rs13214338"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"102877","DOI":"10.1016\/j.scs.2021.102877","article-title":"Analyses of Land Surface Temperature (LST) Variability among Local Climate Zones (LCZs) Comparing Landsat-8 and ENVI-Met Model Data","volume":"69","author":"Cilek","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"102060","DOI":"10.1016\/j.scs.2020.102060","article-title":"Evaluation of Urban Heat Islands Using Local Climate Zones and the Influence of Sea-Land Breeze","volume":"55","author":"Zhou","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"100455","DOI":"10.1016\/j.uclim.2019.100455","article-title":"Detecting Multi-Temporal Land Cover Change and Land Surface Temperature in Pearl River Delta by Adopting Local Climate Zone","volume":"28","author":"Wang","year":"2019","journal-title":"Urban Clim."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1109\/JSTARS.2018.2815004","article-title":"Understanding Land Surface Temperature Differences of Local Climate Zones Based on Airborne Remote Sensing Data","volume":"11","author":"Osmond","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_17","unstructured":"Van Eck, N.J., and Waltman, L. (2022). Leiden University."},{"key":"ref_18","unstructured":"USGS (2022, June 28). Available online: https:\/\/www.usgs.gov\/landsat-missions\/landsat-satellite-missions."},{"key":"ref_19","unstructured":"NASA (2022, June 28). Available online: http:\/\/aqua.nasa.gov\/."},{"key":"ref_20","unstructured":"NASA (2022, June 28). Available online: http:\/\/www.nasa.gov\/mission_pages\/terra\/index.html."},{"key":"ref_21","unstructured":"(2022, June 28). Sattelite Imaging Corporation. Available online: www.satimagingcorp.com\/satellite-sensors\/aster.html."},{"key":"ref_22","first-page":"76","article-title":"Dynamics and Controls of Urban Heat Sink and Island Phenomena in a Desert City: Development of a Local Climate Zone Scheme Using Remotely-Sensed Inputs","volume":"51","author":"Nassar","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Costanzini, S., Despini, F., Beltrami, L., Fabbi, S., Muscio, A., and Teggi, S. (2021). Identification of SUHI in Urban Areas by Remote Sensing Data and Mitigation Hypothesis through Solar Reflective Materials. Atmosphere, 13.","DOI":"10.3390\/atmos13010070"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4586","DOI":"10.1002\/joc.6477","article-title":"The Local Climate Impact of an African City During Clear-Sky Conditions-Implications of the Recent Urbanization in Kampala (Uganda)","volume":"40","author":"Brousse","year":"2020","journal-title":"Int. J. Climatol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Chen, C., Bagan, H., Xie, X., La, Y., and Yamagata, Y. (2021). Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China. Remote Sens., 13.","DOI":"10.3390\/rs13101902"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"103798","DOI":"10.1016\/j.scs.2022.103798","article-title":"The Role of Blue Green Infrastructure in the Urban Thermal Environment across Seasons and Local Climate Zones in East Africa","volume":"80","author":"Li","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"112544","DOI":"10.1016\/j.rse.2021.112544","article-title":"Exploring Diurnal Thermal Variations in Urban Local Climate Zones with ECOSTRESS Land Surface Temperature Data","volume":"263","author":"Chang","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"108348","DOI":"10.1016\/j.buildenv.2021.108348","article-title":"Local Climate Zones Mapping Using Object-Based Image Analysis and Validation of Its Effectiveness through Urban Surface Temperature Analysis in China","volume":"206","author":"Ma","year":"2021","journal-title":"Build. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"4213","DOI":"10.1109\/JSTARS.2019.2926502","article-title":"Analysis of the Spatial and Temporal Variations of Land Surface Temperature Based on Local Climate Zones: A Case Study in Nanjing, China","volume":"12","author":"Hu","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"112972","DOI":"10.1016\/j.rse.2022.112972","article-title":"Analysis of Surface Urban Heat Islands Based on Local Climate Zones via Spatiotemporally Enhanced Land Surface Temperature","volume":"273","author":"Xia","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Dimitrov, S., Popov, A., and Iliev, M. (2021). An Application of the LCZ Approach in Surface Urban Heat Island Mapping in Sofia, Bulgaria. Atmosphere, 12.","DOI":"10.3390\/atmos12111370"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"103495","DOI":"10.1016\/j.scs.2021.103495","article-title":"Using Local Climate Zones to Investigate Spatio-Temporal Evolution of Thermal Environment at the Urban Regional Level: A Case Study in Xi\u2032an, China","volume":"76","author":"Han","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/TGRS.2008.2007125","article-title":"Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data","volume":"47","author":"Cristobal","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","first-page":"204","article-title":"A Radiance-Based Split-Window Algorithm for Land Surface Temperature Retrieval: Theory and Application to MODIS Data","volume":"76","author":"Wang","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"100229","DOI":"10.1016\/j.envc.2021.100229","article-title":"Exploring the Relationship between Urban Form and Land Surface Temperature (LST) in a Semi-Arid Region Case Study of Ben Guerir City\u2014Morocco","volume":"5","author":"Azmi","year":"2021","journal-title":"Environ. Chall."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1109\/36.508406","article-title":"A Generalized Split-Window Algorithm for Retrieving Land-Surface Temperature from Space","volume":"34","author":"Wan","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3719","DOI":"10.1080\/01431160010006971","article-title":"A Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM Data and Its Application to the Israel-Egypt Border Region","volume":"22","author":"Qin","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_38","first-page":"1","article-title":"Spatiotemporal Changes in the Urban Heat Island Intensity of Distinct Local Climate Zones: Case Study of Zhongshan District, Dalian, China","volume":"2020","author":"Han","year":"2020","journal-title":"Complexity"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"109105","DOI":"10.1016\/j.buildenv.2022.109105","article-title":"Diurnally Continuous Dynamics of Surface Urban Heat Island Intensities of Local Climate Zones with Spatiotemporally Enhanced Satellite-Derived Land Surface Temperatures","volume":"218","author":"Dong","year":"2022","journal-title":"Build. Environ."},{"key":"ref_40","first-page":"48","article-title":"Using Local Climate Zones to Compare Remotely Sensed Surface Temperatures in Temperate Cities and Hot Desert Cities","volume":"28","author":"Fricke","year":"2020","journal-title":"Morav. Geogr. Rep."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"8677","DOI":"10.1007\/s13762-021-03602-w","article-title":"Evaluation of Seasonal Variability in Magnitude of Urban Heat Islands Using Local Climate Zone Classification and Surface Albedo","volume":"19","author":"Dutta","year":"2021","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"124995","DOI":"10.1016\/j.jclepro.2020.124995","article-title":"A Practical Approach of Urban Green Infrastructure Planning to Mitigate Urban Overheating: A Case Study of Guangzhou","volume":"287","author":"Wang","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"100451","DOI":"10.1016\/j.uclim.2019.01.005","article-title":"SUHI Analysis Using Local Climate Zones\u2014A Comparison of 50 Cities","volume":"28","author":"Bechtel","year":"2019","journal-title":"Urban Clim."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Quan, J. (2019). Multi-Temporal Effects of Urban Forms and Functions on Urban Heat Islands Based on Local Climate Zone Classification. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16122140"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Mandelmilch, M., Ferenz, M., Mandelmilch, N., and Potchter, O. (2020). Urban Spatial Patterns and Heat Exposure in the Mediterranean City of Tel Aviv. Atmosphere, 11.","DOI":"10.3390\/atmos11090963"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Zhu, R., Dong, X., and Wong, M.S. (2022). Estimation of the Urban Heat Island Effect in a Reformed Urban District: A Scenario-Based Study in Hong Kong. Sustainability, 14.","DOI":"10.3390\/su14084409"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"107729","DOI":"10.1016\/j.buildenv.2021.107729","article-title":"A Cooled City? Comparing Human Activity Changes on the Impact of Urban Thermal Environment before and after City-Wide Lockdown","volume":"195","author":"Cai","year":"2021","journal-title":"Build. Environ."},{"key":"ref_48","first-page":"309","article-title":"Monitoring vegetation systems in the Great Plains with Erts","volume":"351","author":"Rouse","year":"1974","journal-title":"NASA Spec. Publ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"150130","DOI":"10.1016\/j.scitotenv.2021.150130","article-title":"An Urban Energy Balance-Guided Machine Learning Approach for Synthetic Nocturnal Surface Urban Heat Island Prediction: A Heatwave Event in Naples","volume":"805","author":"Oliveira","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"113521","DOI":"10.1016\/j.ecoenv.2022.113521","article-title":"Spatial and Temporal Analysis of the Increasing Effects of Large-Scale Infrastructure Construction on the Surface Urban Heat Island","volume":"237","author":"Wan","year":"2022","journal-title":"Ecotoxicol. Environ. Saf."},{"key":"ref_52","unstructured":"Martins, G.A., and Domingues, O. (2017). Estat\u00edstica Geral E Aplicada, Publisher. [6th ed.]."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Nurwanda, A., and Honjo, T. (2018). Analysis of Land Use Change and Expansion of Surface Urban Heat Island in Bogor City by Remote Sensing. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7050165"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5223","DOI":"10.1109\/JSTARS.2019.2955133","article-title":"Seasonality of Surface Urban Heat Island in Delhi City Region Measured by Local Climate Zones and Conventional Indicators","volume":"12","author":"Budhiraja","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Li, N., Yang, J., Qiao, Z., Wang, Y., and Miao, S. (2021). Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China. Remote Sens., 13.","DOI":"10.3390\/rs13081468"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.1007\/s11431-018-9417-6","article-title":"Enhanced Geographic Information System-Based Mapping of Local Climate Zones in Beijing, China","volume":"62","author":"Quan","year":"2019","journal-title":"Sci. China Technol. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"3284","DOI":"10.1002\/qj.3619","article-title":"Impact of Atmospheric Conditions and Levels of Urbanization on the Relationship between Nocturnal Surface and Urban Canopy Heat Islands","volume":"145","author":"Feng","year":"2019","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.buildenv.2019.04.011","article-title":"Inter-\/Intra-Zonal Seasonal Variability of the Surface Urban Heat Island Based on Local Climate Zones in Three Central European Cities","volume":"156","author":"Lehnert","year":"2019","journal-title":"Build. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Shi, Y., Xiang, Y., and Zhang, Y. (2019). Urban Design Factors Influencing Surface Urban Heat Island in the High-Density City of Guangzhou Based on the Local Climate Zone. Sensors, 19.","DOI":"10.20944\/preprints201906.0010.v1"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"100573","DOI":"10.1016\/j.uclim.2019.100573","article-title":"Annual and Monthly Analysis of Surface Urban Heat Island Intensity with Respect to the Local Climate Zones in Budapest","volume":"31","author":"Dian","year":"2020","journal-title":"Urban Clim."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"100540","DOI":"10.1016\/j.uclim.2019.100540","article-title":"Inter-Local Climate Zone Differentiation of Land Surface Temperatures for Management of Urban Heat in Nairobi City, Kenya","volume":"31","author":"Ochola","year":"2020","journal-title":"Urban Clim."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Chen, Y., Zheng, B., and Hu, Y. (2020). Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China. Sustainability, 12.","DOI":"10.3390\/su12072974"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"100568","DOI":"10.1016\/j.uclim.2019.100568","article-title":"Remote Sensing of Urban Thermal Environments within Local Climate Zones: A Case Study of Two High-Density Subtropical Chinese Cities","volume":"31","author":"Chen","year":"2020","journal-title":"Urban Clim."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1080\/15481603.2020.1843869","article-title":"Use of Local Climate Zones to Investigate Surface Urban Heat Islands in Texas","volume":"57","author":"Zhao","year":"2020","journal-title":"GIScience Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Lu, Y., Yang, J., and Ma, S. (2021). Dynamic Changes of Local Climate Zones in the Guangdong\u2013Hong Kong\u2013Macao Greater Bay Area and Their Spatial-Temporal Impacts on the Surface Urban Heat Island Effect between 2005 and 2015. Sustainability, 13.","DOI":"10.3390\/su13116374"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"100846","DOI":"10.1016\/j.uclim.2021.100846","article-title":"LCZ Scheme for Assessing Urban Heat Island Intensity in a Complex Urban Area (Beirut, Lebanon)","volume":"37","author":"Zaarour","year":"2021","journal-title":"Urban Clim."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Alghamdi, A.S., Alzhrani, A.I., and Alanazi, H.H. (2021). Local Climate Zones and Thermal Characteristics in Riyadh City, Saudi Arabia. Remote Sens., 13.","DOI":"10.3390\/rs13224526"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Shi, L., Ling, F., Foody, G.M., Yang, Z., Liu, X., and Du, Y. (2021). Seasonal SUHI Analysis Using Local Climate Zone Classification: A Case Study of Wuhan, China. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18147242"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"100823","DOI":"10.1016\/j.uclim.2021.100823","article-title":"The Suitability of the Urban Local Climate Zone Classification Scheme for Surface Temperature Studies in Distinct Macroclimate Regions","volume":"37","author":"Eldesoky","year":"2021","journal-title":"Urban Clim."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"e2021EF002178","DOI":"10.1029\/2021EF002178","article-title":"Time Evolution of the Surface Urban Heat Island","volume":"9","author":"Stewart","year":"2021","journal-title":"Earths Future"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Wang, R., Wang, M., Zhang, Z., Hu, T., Xing, J., He, Z., and Liu, X. (2022). Geographical Detection of Urban Thermal Environment Based on the Local Climate Zones: A Case Study in Wuhan, China. Remote Sens., 14.","DOI":"10.3390\/rs14051067"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"106063","DOI":"10.1016\/j.resconrec.2021.106063","article-title":"Spatiotemporal Evolution of Urban Development and Surface Urban Heat Island in Guangdong-Hong Kong-Macau Greater Bay Area of China from 2013 to 2019","volume":"179","author":"Wang","year":"2022","journal-title":"Resour. Conserv. 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