Annual Spatiotemporal Dynamics of Surface Urban Heat Island Intensity in Makassar City, Indonesia (2013-2024): An Integrative Local Climate Zone Framework
DOI:
https://doi.org/10.23917/forgeo.16328Keywords:
geospatial modeling, surface urban heat island intensity, local climate zone, fuzzy logic, GIS-based rules, land surface temperatureAbstract
Urbanization is altering the local climate, but 2D models still fall short in representing the drivers of urban heat distribution because they don’t account for 3D factors. To address this limitation, this study utilizes a Local Climate Zone (LCZ) framework as a representative model of 3D urban morphology. A three-stage integration methodology that includes Fuzzy Logic, GIS-based rules, and spatial aggregation is utilized to classify the LCZ. By linking the urban transformation, as represented by LCZ, with Land Surface Temperature (LST), this research examines the spatiotemporal trends of Surface Urban Heat Island Intensity (SUHII) in Makassar City, Indonesia (2013-2024). SUHII is calculated by subtracting Land Surface Temperatures (LST) in each LCZ class, with LST obtained from LST Landsat OLI/TIRS imagery. SUHII spatial patterns are analyzed using the Global Moran’s Index and the Getis-Ord Gi*. The results showed that converting more than 1,650 hectares of natural landscape (LCZ D and G) into open-to-densely built-up zones (LCZ 6 and LCZ 3) significantly alters the surface energy balance. SUHII peaked at 8.51°C in 2017, but the mean intensity sharply decreased to 0.01°C in 2023, a decrease attributed to El Niño. This structural clustering is confirmed by the high Moran’s Index values (0.70–0.79), a p-value of 0.00, and z-scores consistently above 65, indicating a shift toward thermal homogenization and a progressive reduction in distinct cooling zones. The findings indicate the implementation of a two-track strategy: structural improvement in the highly heat-exposed urban center districts (Rappocini and Mamajang) and the preservation of natural infrastructure within the rapidly developing peripheral districts (Biringkanaya and Tamalanrea) to prevent further increases and expansion of hotspots.
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References
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global da-taset of monthly climate and climatic water balance from 1958-2015. Scientific Data, 5. doi: 10.1038/sdata.2017.191
Acosta-Fernández, G. A., Martínez-Torres, K. E., González-Trevizo, M. E., & Santamouris, M. (2025). Advances in ur-ban mapping of local climate zones for heat mitigation: A systematic review. Land Use Policy, 153. doi: 10.1016/j.landusepol.2025.107540
Aghazadeh, F., Rahimi, A., Tarashkar, M., Firozjaei, M. K., Ioja, C., Ondrejicka, V., & Finka, M. (2025). Assessing the green infrastructure and built up effects in enhancing thermal comfort for vulnerable populations in urban heat waves: A case study of Tabriz metropolitan. Remote Sensing Applications: Society and Environment, 39. doi: 10.1016/j.rsase.2025.101671
Aldiansyah, S., & Wardani, F. (2023). Analisis Spasio-Temporal Fenomena Urban Heat Island dan Hubungannya Ter-hadap Aspek Fisik di Kota Makassar (1993-2021 [Spatio-Temporal Analysis of Urban Heat Islands and Their Correlation with Physical Factors in Makassar City (1993–2021)]. Jurnal Sains & Teknologi Modifikasi Cuaca, 24(1), 1–11.
Ali, M. I., Dirawan, G. D., Hasim, A. H., & Abidin, M. R. (2019). Detection of changes in surface water bodies urban area with NDWI and MNDWI methods. International Journal on Advanced Science, Engineering and Information Technology, 9(3). doi: 10.18517/ijaseit.9.3.8692
Anitha, V. (2026). Understanding Urban Heat Islands: Definition, Causes, and Effects. In Cities and Nature: Part F1287. doi: 10.1007/978-3-032-11580-5_1
Ao, T., Wang, M., Wang, R., Zhang, Z., Gao, W., & Liu, X. (2025). The influence of different building height and densi-ty data on local climate zone classification. Remote Sensing Applications: Society and Environment, 37. doi: 10.1016/j.rsase.2024.101429
Ardiyansyah, A., Munir, A., & Gabric, A. (2021). The Utilization of Land Surface Temperature Information as an Input for Coastal City. IOP Conference Series: Earth and Environmental Science, 921(1). doi: 10.1088/1755-1315/921/1/012004
Arifin, T., Nur Amri, S., Rahmania, R., Yulius, Ramdhan, M., Chandra, H., Adrianto, L., Geoffrey Bengen, D., Kur-niawan, F., & Kurnia, R. (2023). Forecasting land-use changes due to coastal city development on the peri-urban area in Makassar City, Indonesia. Egyptian Journal of Remote Sensing and Space Science, 26(1). doi: 10.1016/j.ejrs.2023.02.002
Asfan Mujahid, L. Muh., Natalia, V. V., & Akrim, A. A. D. (2023). Pengaruh Urban Heat Island Terhadap Aktivitas Fisik di Kota Makassar [The Impact of Urban Heat Island on Physical Activities in Makassar City]. Jurnal Linears, 6(1), 11–21. doi: 10.26618/j-linears.v6i1.9021
BMKG. (2025). Ketika Laut Memanas, Dunia Berubah: El Niño Super 2023–2024 dan Dampaknya [When the Ocean Heats Up, the World Changes: The 2023–2024 Super El Niño and Its Impacts]. Retrieved From https://gaw-bariri.bmkg.go.id/index.php/karya-tulis-dan-artikel/artikel/245-ketika-laut-memanas-dunia-berubah-el-nino-super-2023-2024-dan-dampaknya
BPS-Statistics of Makassar Municipality. (2025). Makassar Municipality in Figures 2025.
Briz-Redón, Á. (2022). A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem. Spatial Statistics, 51. doi: 10.1016/j.spasta.2022.100689
Chen, C., Bagan, H., & Yoshida, T. (2023). Multiscale mapping of local climate zones in Tokyo using airborne LiDAR data, GIS vectors, and Sentinel-2 imagery. GIScience and Remote Sensing, 60(1). doi: 10.1080/15481603.2023.2209970
Chen, W., Liu, L., Zhang, C., Wang, J., Wang, J., & Yuchun, P. (2004). Monitoring the seasonal bare soil areas in Bei-jing using multi-temporal TM images. IGARSS 2004. Retrieved From https://doi.org/doi.org/10.1109/IGARSS.2004.1370429
Chen, Y., & Hu, Y. (2022). The urban morphology classification under local climate zone scheme based on the im-proved method - A case study of Changsha, China. Urban Climate, 45. doi: 10.1016/j.uclim.2022.101271
Cilek, U. M., & Cilek, A. (2021). Analyses of land surface temperature (LST) variability among local climate zones (LCZs) comparing Landsat-8 and ENVI-met model data. Sustainable Cities and Society, 69. doi: 10.1016/j.scs.2021.102877
da Silva Espinoza, N., dos Santos, C. A. C., de Oliveira, M. B. L., Silva, M. T., Santos, C. A. G., Silva, R. M. D., Mishra, M., & Ferreira, R. R. (2023). Assessment of urban heat islands and thermal discomfort in the Amazonia biome in Brazil: A case study of Manaus city. Building and Environment, 227. doi: 10.1016/j.buildenv.2022.109772
Datanesia. (2022). Memetakan Peluang Ekonomi Wilayah: Kota Makassar [Mapping Regional Economic Opportuni-ties: Makassar City]. Retrieved From https://datanesia.id/memetakan-peluang-ekonomi-wilayah-kota-makassar/
de Almeida, C. R., Gonçalves, A., & Teodoro, A. C. (2025). Analysis of Surface Thermal Behavior in Different Local Climate Zones (LCZ): A Case Study in Bragança (Portugal) (2013-2024). International Conference on Geo-graphical Information Systems Theory, Applications and Management, GISTAM - Proceedings. Retrieved From https://doi.org/10.5220/0013282700003935
de Souza Campos Correa, W., Rosales Aylas, G. Y., Magalhães Santiago, A., do Vale, C. C., Silva, M. E. S., da Silva, C. B., Nascentes Coelho, A., Lima Freire, A. H., Mataveli, G., & Martins Moreira, D. (2024). Temporal and Spatial Urban Heat Islands in a Coastal Brazilian Area of Tropical Climate. Papers in Applied Geography, 10(2), 114–137. doi: 10.1080/23754931.2024.2321561
Deng, H., Feng, J., Chen, X., Xiong, Y., Cao, J., & Liu, K. (2026). Regulation of water body cooling effects in dense Ur-ban Areas: Roles of spatial configuration, spatial size, and built environment. Sustainable Cities and Society, 137. doi: 10.1016/j.scs.2026.107149
Deng, H., Zhang, S., Chen, M., Feng, J., & Liu, K. (2024). Sensitivity of Local Climate Zones and Urban Functional Zones to Multi-Scenario Surface Urban Heat Islands. Remote Sensing, 16(16). doi: 10.3390/rs16163048
Donthu, E. V. S. K. K., Long, Y. P., Wan, M. P., Zhou, M., & Ng, B. F. (2024). Dynamics of cool surface performance on urban microclimate: A full-scale experimental study in Singapore. Sustainable Cities and Society, 102. doi: 10.1016/j.scs.2024.105218
Esposito, A., Pappaccogli, G., Bozzeda, F., & Buccolieri, R. (2025). A multi-city statistical modelling of surface urban heat island: Application to Italian cities. Urban Climate, 64. doi: 10.1016/j.uclim.2025.102717
Esri. (2025a). How Hot Spot Analysis (Getis-Ord Gi*) works. Retrieved From https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-hot-spot-analysis-getis-ord-gi-spatial-stati.htm
Esri. (2025b). How Spatial Autocorrelation (Global Moran’s I) works. Retrieved From https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm
Estacio, I., Babaan, J., Pecson, N. J., Blanco, A. C., Escoto, J. E., & Alcantara, C. K. (2019). GIS Based Mapping of Local Climate Zones Using Fuzzy Logic and Cellular Automata. International Archives of the Photogrammetry, Re-mote Sensing and Spatial Information Sciences - ISPRS Archives, 42(4/W19). doi: 10.5194/isprs-archives-XLII-4-W19-199-2019
Fahrezi, A. A., & Mawari, S. (2024). Analysis of the Effect of Distance from the Beach and Elevation on Surface Urban Heat Island in Makassar City and Its Surroundings. Proceedings of SPIE - The International Society for Opti-cal Engineering, 12977. doi: 10.1117/12.3009324
Faridatul, M. I., Islam, M., Joy, M. J. H., Wakil, M. A., Rahman, M. M., & Sarker, D. (2024). Impact of greenery and wa-terbody on the cooling of city’s environment: a case of Rajshahi City. Geology, Ecology, and Landscapes, 9(3), 1065-1086. doi: 10.1080/24749508.2024.2373489
Fong, C. S., Manavvi, S., Priya, R. S., Ramakreshnan, L., Sulaiman, N. M., & Aghamohammadi, N. (2023). Traits of Adaptive Outdoor Thermal Comfort in a Tropical Urban Microclimate. Atmosphere, 14(5). doi: 10.3390/atmos14050852
Fonte, C. C., Lopes, P., See, L., & Bechtel, B. (2019). Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPT. Urban Climate, 28. doi: 10.1016/j.uclim.2019.100456
Getis, A., & Ord, J. K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3). doi: 10.1111/j.1538-4632.1992.tb00261.x
Han, J., Mo, N., Cai, J., Ouyang, L., & Liu, Z. (2024). Advancing the local climate zones framework: a critical review of methodological progress, persisting challenges, and future research prospects. Humanities and Social Sciences Communications, 11(1). doi: 10.1057/s41599-024-03072-8
He, X., Yuan, Q., Qin, Y., Lu, J., & Li, G. (2024). Analysis of Surface Urban Heat Island in the Guangzhou-Foshan Met-ropolitan Area Based on Local Climate Zones. Land, 13(10). doi: 10.3390/land13101626
Huang, F., Jiang, S., Zhan, W., Bechtel, B., Liu, Z., Demuzere, M., Huang, Y., Xu, Y., Ma, L., Xia, W., Quan, J., Jiang, L., Lai, J., Wang, C., Kong, F., Du, H., Miao, S., Chen, Y., & Chen, J. (2023). Mapping local climate zones for cit-ies: A large review. Remote Sensing of Environment, 292. doi: 10.1016/j.rse.2023.113573
Indonesian Agency for Meteorological, C. and G. (2024). Update on the 2024 Dry Season Forecast for Indonesia. In-donesian Agency for Meteorological, Climatological and Geophysics .
Irmak, M. A., Yilmaz, S., & Dursun, D. (2017). Effect of different pavements on human thermal comfort conditions. At-mosfera, 30(4), 355–366. doi: 10.20937/ATM.2017.30.04.06
Isinkaralar, O., Yeboah, E., Isinkaralar, K., Sarfo, I., Öztürk, S., Yilmaz, D., & Bojago, E. (2025). Investigating the effects of local climate zones on land surface temperature using spectral indices via linear regression model: a season-al study of Sapanca Lake. Environmental Monitoring and Assessment, 197(3). doi: 10.1007/s10661-025-13705-3
Jayalakshmi, S. (2024). Development of Mobile Application for Assessing Urban Heat Island (UHI) Using Geospatial Techniques a Case Study of Chennai City. Lecture Notes in Civil Engineering, 450, 95–108. doi: 10.1007/978-981-99-8568-5_8
Jimenez-Munoz, J. C., Cristobal, J., Sobrino, J. A., Sòria, G., Ninyerola, M., & Pons, X. (2009). Revision of the single-channel algorithm for land surface temperature retrieval from landsat thermal-infrared data. IEEE Transactions on Geoscience and Remote Sensing, 47(1). doi: 10.1109/TGRS.2008.2007125
Jiménez-Munoz, J. C., & Sobrino, J. A. (2003). A generalized single-channel method for retrieving land surface temper-ature from remote sensing data. Journal of Geophysical Research: Atmospheres, 108(22). doi: 10.1029/2003jd003480
Jumadi, J., Setiawan, I. N., Nawaz, M., & Sattar, F. (2025). Correlation Analysis of Normalised Difference Built-Up Index (NDBI) and Land Surface Temperature (LST) from 2013 to 2023 Landsat 8 Imagery: A Case Study in Makassar City, Indonesia. International Journal of Geoinformatics, 21(8). doi: 10.52939/ijg.v21i8.4361
Kara, E., Onat, M. R., Demir, M. E., & Kinaci, O. K. (2025). Techno-economic analysis of offshore renewable energy farms in Western Spain using fuzzy AHP & TOPSIS methodology. Renewable Energy, 242. doi: 10.1016/j.renene.2025.122361
Kotharkar, R., Deshmukh, S., & Keskar, R. (2025). WUDAPT based LCZ mapping of medium-sized Indian cities located on flat terrain: Its assessment and application. Urban Climate, 64, 102626. doi: 10.1016/J.UCLIM.2025.102626
Kurnianti, R., & Hadi Rahmi, D. (2020). Ketersediaan Ruang Terbuka Hijau dan Urban Heat Island di Kota Makassar [Green Open Space Availability and the Urban Heat Island in Makassar City]. Jurnal Litbang Sukowati, 3(2), 150–163.
Liang, Y., Cao, S., Du, M., Lu, L., Jiang, J., Quan, J., & Yang, M. (2023). Local climate zone mapping using remote sens-ing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data. Inter-national Journal of Digital Earth, 16(1). doi: 10.1080/17538947.2023.2251437
Liong, A. S., Nasrullah, N., & Sulistyantara, B. (2021). Assessing the impact of land cover changes on land surface tem-perature and the relation to urban heat island in Makassar City, South Sulawesi. IOP Conference Series: Earth and Environmental Science, 879(1). doi: 10.1088/1755-1315/879/1/012010
Liu, C., Song, H., Shreevastava, A., & Albrecht, C. M. (2024). AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. International Geoscience and Remote Sensing Symposium (IGARSS), 2023–2027. Retrieved From https://doi.org/10.1109/IGARSS53475.2024.10641645
Ma, X., & Ong, B. L. (2025). Optimizing Urban Greenery for Climate Resilience: A Case Study in Perth, Australia. Land, 14(5). doi: 10.3390/land14051088
Makassar City Government. (2015). Regional Regulation of Makassar City No.3 of 2015 on the Establishment of the Sangkarrang Islands.
Makassar City Government. (2025). Makassar City Medium-Term Regional Development Plan, 2025–2029. Retrieved From https://makassarkota.go.id/rancangan-teknokratik-rpjmd-2025-2029/
Makassar Environmental Agency. (2024). Final Report on the Identification of Green Open Spaces and the Land Quali-ty Index of Makassar City for 2024.
Malcoti, M. D., Zia, H., Kabre, C., Hang, H. T., & Rahman, A. (2023). Analysis of urban streets and surface thermal char-acteristics using thermal imaging camera in residential streets of Gurugram City, India. Environmental Science and Pollution Research, 30(37), 86892–86910. doi: 10.1007/s11356-023-28553-2
Mansourmoghaddam, M., Rousta, I., Ghafarian Malamiri, H., Sadeghnejad, M., Krzyszczak, J., & Ferreira, C. S. S. (2024). Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran). Remote Sensing, 16(3). https://doi.org/10.3390/rs16030454
Mekonnen, G. T., Berlie, A. B., Wubie, M. A., & Legesse, S. A. (2024). Drivers of surface urban heat island of Gondar City, Ethiopia: a comparative study. Cogent Social Sciences, 10(1). doi: 10.1080/23311886.2024.2354974
Mirzaeian, F., Ghalandarian, I., & Talaei, M. (2025). Evaluation of the Impact of Urban Form on Urban Heat Islands: A Comparative Study of Residential Areas of Mashhad, Iran. Journal of Environmental Studies, 51(1). doi: 10.22059/jes.2025.378604.1008514
Mo, N., Han, J., Yin, Y., & Zhang, Y. (2024). Seasonal analysis of land surface temperature using local climate zones in peak forest basin topography: A case study of Guilin. Building and Environment, 247, 111042. doi: 10.1016/j.buildenv.2023.111042
NOAA. (2023). October 2023 El Niño update: big cats. Retrieved From https://www.climate.gov/news-features/blogs/october-2023-el-nino-update-big-cats
NOAA. (2026). Cold & Warm Episodes by Season Oceanic Niño Index (ONI): Historical El Niño / La Niña episodes (1950–Present). Retrieved From https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php
Nugraha, A. S. A., Kamal, M., Heru Murti, S., & Widyatmanti, W. (2024). Accuracy assessment of land surface tempera-ture retrievals from remote sensing imagery: pixel-based, single and multi-channel methods. Geomatics, Natu-ral Hazards and Risk, 15(1). doi: 10.1080/19475705.2024.2324975
Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017). Urban Heat Island. In Urban Climates, 197–237. doi: 10.1017/9781139016476.008
Ord, J. K., & Getis, A. (1995). Local Spatial Autocorrelation Statistics: Distributional Issues and an Application. Geo-graphical Analysis, 27(4). doi: 10.1111/j.1538-4632.1995.tb00912.x
Panahi, H., Azizi, Z., Kiadaliri, H., Almodaresi, S. A., & Aghamohamadi, H. (2024). Bare soil detecting algorithms in western iran woodlands using remote sensing. Smart Agricultural Technology, 7. doi: 10.1016/j.atech.2024.100429
Puri, P. (2025). Advanced Spatio-Temporal Analysis of Surface Urban Heat Island Intensity in the Mumbai Metropoli-tan Region Using Surface Imperviousness, Land Use- Land Cover, and Local Climate Zones Via Google Earth Engine and Deep Learning (2003–2023). Journal of Landscape Ecology (Czech Republic), 19(2). doi: 10.2478/jlecol-2026-0014
Renc, A., & Łupikasza, E. (2024). Changes in the surface urban heat island between 1986 and 2021 in the polycentric Górnośląsko-Zagłębiowska Metropolis, southern Poland. Building and Environment, 247. doi: 10.1016/j.buildenv.2023.110997
Ridwan, Rasyidi, E. S., Syafri, Rahman, R., Okviyani, N., Jumadil, & Ma’Rief, A. A. (2021). Assessment of the relation-ship between building density and urban heat island using Landsat images in Makassar City. IOP Conference Series: Earth and Environmental Science, 802(1). doi: 10.1088/1755-1315/802/1/012042
Salgado, K., de la Barrera, F., Salinas, V., González, S., Reyes-Paecke, S., Truffello, R., & Salvati, A. (2025). Beyond the Canopy: In Situ Evidence of Urban Green Spaces’ Cooling Potential Across Three Chilean Cities. Urban Sci-ence, 9(11). doi: 10.3390/urbansci9110485
Sekertekin, A., & Bonafoni, S. (2020). Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: As-sessment of different retrieval algorithms and emissivity models and toolbox implementation. Remote Sensing, 12(2). doi: 10.3390/rs12020294
Sirko, W., Brempong, E. A., Marcos, J. T. C., Annkah, A., Korme, A., Hassen, M. A., Sapkota, K., Shekel, T., Diack, A., Nevo, S., Hickey, J., & Quinn, J. (2024). High-Resolution Building and Road Detection from Sentinel-2. Com-puter Vision and Pattern Recognition. Rerieved From http://arxiv.org/abs/2310.11622
Stewart, I. D., Krayenhoff, E. S., Voogt, J. A., Lachapelle, J. A., Allen, M. A., & Broadbent, A. M. (2021). Time Evolution of the Surface Urban Heat Island. Earth’s Future, 9(10). doi: 10.1029/2021EF002178
Stewart, I. D., & Mills, G. (2021). The Urban Heat Island: A Guidebook. In The Urban Heat Island. doi: 10.1016/B978-0-12-815017-7.09997-5
Stewart, I. D., & Oke, T. R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteor-ological Society, 93(12). doi: 10.1175/BAMS-D-11-00019.1
Suriana, D., Barkey, R. A., & Gou, Z. (2020). Analysis of Land Use/Land Cover Change And Their Effects On Spatio-temporal Patterns Of Urban Heat Islands (UHI) In The City Of Makassar, Indonesia. International Journal of Engineering and Science Applications, 7(2).
Tyagi, G., & Danish, M. (2025). Reflective Building Façades: The Effect of Albedo on Outdoor Thermal Comfort – A Case Study of Low-Rise Apartments. Nature Environment and Pollution Technology, 24(2). doi: 10.46488/NEPT.2025.v24i02.B4247
U.S Environmental Protection Agency. (2014). Reducing Urban Heat Islands: Compendium of Strategies - Urban Heat Island Basics. Retrieved From https://heathealth.info/wp-content/uploads/reducing_urban_heat_islands_ch_1.pdf
USGS. (2023). Landsat 8-9 Collection 2 (C2) Level 2 Science Product (L2SP) Guide. In U.S. Geological Survey: Ver-sion 5.
Vaidya, M., Keskar, R., & Kotharkar, R. (2024). Classifying heterogeneous urban form into local climate zones using supervised learning and greedy clustering incorporating Landsat dataset. Urban Climate, 53. doi: 10.1016/j.uclim.2023.101770
Wang, G., Xiao, L., Liang, Z., Huang, Z., & Guan, D. (2025). Thermal environmental characteristics and their regulation mechanisms of three typical urban land-use types in Guangzhou, South China. Journal of Ecological Engi-neering, 26(9). doi: 10.12911/22998993/205185
Wang, R., Wang, M., Ren, C., Chen, G., Mills, G., & Ching, J. (2024). Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend. Urban Climate, 57. doi: 10.1016/j.uclim.2024.102129
Wei, L., & Sobrino, J. A. (2024). Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain). International Journal of Applied Earth Observation and Geoinformation, 130. doi: 10.1016/j.jag.2024.103875
Xi, Y., Wang, S., Zou, Y., Zhou, X. C., & Zhang, Y. (2024). Seasonal surface urban heat island analysis based on local climate zones. Ecological Indicators, 159. doi: 10.1016/j.ecolind.2024.111669
Xu, T., Gong, J., Yang, Z., Wang, Y., Jin, T., Duman, I., & Kerimbaevich, E. F. (2025). Quantifying the aggravation and mitigation of urban heat island through differential dynamic changes in impervious surface. Sustainable Cities and Society, 131. doi: 10.1016/j.scs.2025.106680
Yang, J., Bai, Y., Huang, D., & Chen, F. (2023). Thermal Environment of Typical Industrial Parks over Jinjiang-Shishi, in southeast Fujian Province, China. ACM International Conference Proceeding Series. doi: 10.1145/3653081.3653172
Yang, J., Wu, Z., Menenti, M., Wong, M. S., Xie, Y., Zhu, R., Abbas, S., & Xu, Y. (2023). Impacts of urban morphology on sensible heat flux and net radiation exchange. Urban Climate, 50. doi: 10.1016/j.uclim.2023.101588
Yang, J., Xin, J., Ren, J., & Yu, W. (2025). Dual drivers of the urban heat island effect: The compound effect of local climate zones and population density. Dili Xuebao/Acta Geographica Sinica, 80(5). doi: 10.11821/dlxb202505014
Zhang, S., Chen, Y., Cai, Y., & Pan, W. (2026). Urban Heat Island Network Identification and Mitigation for Sustainable Urban Development Based on Source–Sink Theory and Local Climate Zone. Sustainability (Switzerland), 18(1). doi: 10.3390/su18010260
Zhang, W., Huo, H., Geng, X., Zhou, P., Guo, L., & Li, Z.-L. (2024). Simulation of canopy urban heat island at a block scale based on local climate zones and urban weather generator: a case study of Beijing. International Journal of Remote Sensing, 45(19–20), 7160–7184. doi: 10.1080/01431161.2023.2203344
Zhao, K., Qi, M., Yan, X., Li, L., & Huang, X. (2023). Dynamic Impact of Urban Built Environment on Land Surface Temperature Considering Spatio-Temporal Heterogeneity: A Perspective of Local Climate Zone. Land, 12(12). doi: 10.3390/land12122148
Zhao, S., Chen, Y., Zhang, H., & Luo, M. (2024). Impacts of local climate zone mapping quality on urban near-surface air temperature simulation in WRF-UCM. Sustainable Cities and Society, 101. doi: 10.1016/j.scs.2024.105171
Zheng, Y., Ren, C., Xu, Y., Wang, R., Ho, J., Lau, K., & Ng, E. (2018). GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong. Urban Climate, 24. doi: 10.1016/j.uclim.2017.05.008
Zou, B., Fan, C., & Li, J. (2024). Quantifying the Influence of Different Block Types on the Urban Heat Risk in High-Density Cities. Buildings, 14(7). doi: 10.3390/buildings14072131
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