{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T10:11:46Z","timestamp":1777284706570,"version":"3.51.4"},"reference-count":21,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Japan Society for the Promotion of Science (JSPS)","award":["21K01027"],"award-info":[{"award-number":["21K01027"]}]},{"name":"Japan Society for the Promotion of Science (JSPS)","award":["21F21003"],"award-info":[{"award-number":["21F21003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This Special Issue focuses on the data, methods, techniques, and empirical outcomes of urban heat island studies from a time and space perspective. We showcase research papers, empirical studies, conceptual or analytic reviews, and policy-related tasks to help achieve urban sustainability. We are interested in target methodologies and datasets capturing urban heat island phenomena, including novel techniques for urban heat island monitoring and forecasting with the integration of remote sensing and GIS, the spatial relationship between urban heat island intensity and land use\/cover distribution in metropolitan areas, the geographical patterns and processes of urban heat island phenomena in large cities, spatial differences in urban heat island intensity between developing and developed countries, urban heat island disaster mitigation and adaptation for future urban sustainability, and prediction and scenario analysis of urban heat island formation for policy and planning purposes.<\/jats:p>","DOI":"10.3390\/rs15184474","type":"journal-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T03:54:06Z","timestamp":1694490846000},"page":"4474","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Editorial: Special Issue on Geographical Analysis and Modeling of Urban Heat Island Formation"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4397-6882","authenticated-orcid":false,"given":"Yuji","family":"Murayama","sequence":"first","affiliation":[{"name":"Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7049-7006","authenticated-orcid":false,"given":"Ruci","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Japan"},{"name":"Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33, Yayoicho, Inage-ku, Chiba 263-8522, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.uclim.2015.06.004","article-title":"Effects of Urbanization on the Urban Heat Island in Beirut","volume":"14","author":"Kaloustian","year":"2015","journal-title":"Urban Clim."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.18848\/2325-1077\/CGP\/v09i01\/55081","article-title":"The Impact of Green Areas on Mitigating Urban Heat Island Effect: A Review","volume":"9","author":"Shishegar","year":"2014","journal-title":"Int. J. Environ. Sustain."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s00484-009-0256-x","article-title":"The Urban Heat Island and Its Impact on Heat Waves and Human Health in Shanghai","volume":"54","author":"Tan","year":"2010","journal-title":"Int. J. Biometeorol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Derdouri, A., Wang, R., Murayama, Y., and Osaragi, T. (2021). Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001\u20132020). Remote Sens., 13.","DOI":"10.3390\/rs13183654"},{"key":"ref_5","unstructured":"(2021, September 13). United Nations Raises Projected World Population. Available online: https:\/\/www.prb.org\/resources\/united-nations-raises-projected-world-population\/."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.uclim.2017.04.002","article-title":"Current Trends in Urban Heat Island Mitigation Research: Observations Based on a Comprehensive Research Repository","volume":"21","author":"Aleksandrowicz","year":"2017","journal-title":"Urban Clim."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wang, R., Hou, H., Murayama, Y., and Morimoto, T. (2022). A Three-Dimensional Investigation of Spatial Relationship between Building Composition and Surface Urban Heat Island. Buildings, 12.","DOI":"10.3390\/buildings12081240"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Yang, L., Yu, K., Ai, J., Liu, Y., Lin, L., Lin, L., and Liu, J. (2021). The Influence of Green Space Patterns on Land Surface Temperature in Different Seasons: A Case Study of Fuzhou City, China. Remote Sens., 13.","DOI":"10.3390\/rs13245114"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wang, H., Li, B., Yi, T., and Wu, J. (2022). Heterogeneous Urban Thermal Contribution of Functional Construction Land Zones: A Case Study in Shenzhen, China. Remote Sens., 14.","DOI":"10.3390\/rs14081851"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Li, Y., Hou, H., Murayama, Y., Wang, R., and Hu, T. (2021). Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sens., 13.","DOI":"10.3390\/rs13081526"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shi, W., Hou, J., Shen, X., and Xiang, R. (2022). Exploring the Spatio-Temporal Characteristics of Urban Thermal Environment during Hot Summer Days: A Case Study of Wuhan, China. Remote Sens., 14.","DOI":"10.3390\/rs14236084"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhou, S., Liu, D., Zhu, M., Tang, W., Chi, Q., Ye, S., Xu, S., and Cui, Y. (2022). Temporal and Spatial Variation of Land Surface Temperature and Its Driving Factors in Zhengzhou City in China from 2005 to 2020. Remote Sens., 14.","DOI":"10.3390\/rs14174281"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Sarif, M.O., Gupta, R.D., and Murayama, Y. (2023). Assessing Local Climate Change by Spatiotemporal Seasonal LST and Six Land Indices, and Their Interrelationships with SUHI and Hot\u2013Spot Dynamics: A Case Study of Prayagraj City, India (1987\u20132018). Remote Sens., 15.","DOI":"10.3390\/rs15010179"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Meng, Q., Liu, W., Zhang, L., Allam, M., Bi, Y., Hu, X., Gao, J., Hu, D., and Jancs\u00f3, T. (2022). Relationships between Land Surface Temperatures and Neighboring Environment in Highly Urbanized Areas: Seasonal and Scale Effects Analyses of Beijing, China. Remote Sens., 14.","DOI":"10.3390\/rs14174340"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Karunaratne, S., Athukorala, D., Murayama, Y., and Morimoto, T. (2022). Assessing Surface Urban Heat Island Related to Land Use\/Land Cover Composition and Pattern in the Temperate Mountain Valley City of Kathmandu, Nepal. Remote Sens., 14.","DOI":"10.3390\/rs14164047"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Wang, Y., and Ding, N. (2022). Spatial Effects of Landscape Patterns of Urban Patches with Different Vegetation Fractions on Urban Thermal Environment. Remote Sens., 14.","DOI":"10.3390\/rs14225684"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Sismanidis, P., Bechtel, B., Perry, M., and Ghent, D. (2022). The Seasonality of Surface Urban Heat Islands across Climates. Remote Sens., 14.","DOI":"10.3390\/rs14102318"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hu, C., and Li, H. (2022). Reverse Thinking: The Logical System Research Method of Urban Thermal Safety Pattern Construction, Evaluation, and Optimization. Remote Sens., 14.","DOI":"10.3390\/rs14236036"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Liu, F., Murayama, Y., and Masago, Y. (2023). Spatial Influence of Multifaceted Environmental States on Habitat Quality: A Case Study of the Three Largest Chinese Urban Agglomerations. Remote Sens., 15.","DOI":"10.3390\/rs15040921"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Liu, W., Meng, Q., Allam, M., Zhang, L., Hu, D., and Menenti, M. (2021). Driving Factors of Land Surface Temperature in Urban Agglomerations: A Case Study in the Pearl River Delta, China. Remote Sens., 13.","DOI":"10.3390\/rs13152858"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Garz\u00f3n, J., Molina, I., Velasco, J., and Calabia, A. (2021). A Remote Sensing Approach for Surface Urban Heat Island Modeling in a Tropical Colombian City Using Regression Analysis and Machine Learning Algorithms. Remote Sens., 13.","DOI":"10.3390\/rs13214256"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/18\/4474\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:49:10Z","timestamp":1760129350000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/18\/4474"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,12]]},"references-count":21,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["rs15184474"],"URL":"https:\/\/doi.org\/10.3390\/rs15184474","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,12]]}}}