Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters

References

• Berger, C., J. Rosentreter, M. Voltersen, C. Baumgart, C. Schmullius, and S. Hese. 2017. “Spatio-temporal Analysis of the Relationship between 2D/3D Urban Site Characteristics and Land Surface Temperature.” Remote Sensing of Environment 193: 225–243. doi:10.1016/j.rse.2017.02.020.
   Web of Science ®Google Scholar
• Bhatta, B., S. Saraswati, and D. Bandyopadhyay. 2010. “Urban Sprawl Measurement from Remote Sensing Data.” Applied Geography 30 (4): 731–740. doi:10.1016/j.apgeog.2010.02.002.
   Web of Science ®Google Scholar
• Bonafoni, S., G. Baldinelli, and P. Verducci. 2017. “Sustainable Strategies for Smart Cities: Analysis of the Town Development Effect on Surface Urban Heat Island through Remote Sensing Methodologies.” Sustainable Cities and Society 29: 211–218. doi:10.1016/j.scs.2016.11.005.
   Web of Science ®Google Scholar
• Budhiraja, B., L. Gawuc, and G. Agrawal. 2019. “Seasonality of Surface Urban Heat Island in Delhi City Region Measured by Local Climate Zones and Conventional Indicators.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (12): 5223–5232. doi:10.1109/JSTARS.2019.2955133.
   Web of Science ®Google Scholar
• Buyantuyev, A., and J. Wu. 2012. “Urbanization Diversifies Land Surface Phenology in Arid Environments: Interactions among Vegetation, Climatic Variation, and Land Use Pattern in the Phoenix Metropolitan Region, USA.” Landscape and Urban Planning 105 (1–2): 149–159. doi:10.1016/j.landurbplan.2011.12.013.
   Web of Science ®Google Scholar
• Cai, J., B. Huang, and Y. Song. 2017. “Using multi-source Geospatial Big Data to Identify the Structure of Polycentric Cities.” Remote Sensing of Environment 202: 210–221. doi:10.1016/j.rse.2017.06.039.
   Web of Science ®Google Scholar
• Chakraborty, T., and X. Lee. 2019. “A Simplified urban-extent Algorithm to Characterize Surface Urban Heat Islands on A Global Scale and Examine Vegetation Control on Their Spatiotemporal Variability.” International Journal of Applied Earth Observation and Geoinformation 74: 269–280. doi:10.1016/j.jag.2018.09.015.
   Web of Science ®Google Scholar
• Chakraborty, T. C., C. Sarangi, and X. Lee. 2021. “Reduction in Human Activity Can Enhance the Urban Heat Island: Insights from the COVID-19 Lockdown.” Environmental Research Letters 16 (5): 054060. doi:10.1088/1748-9326/abef8e.
   Web of Science ®Google Scholar
• Chang, Y., J. Xiao, X. Li, S. Frolking, D. Zhou, A. Schneider, Q. Weng, et al. 2021. “Exploring Diurnal Cycles of Surface Urban Heat Island Intensity in Boston with Land Surface Temperature Data Derived from GOES-R Geostationary Satellites.” Science of the Total Environment 763: 144224. doi:10.1016/j.scitotenv.2020.144224.
   PubMed Web of Science ®Google Scholar
• Chen, J., W. Zhan, S. Jin, W. Han, P. Du, J. Xia, J. Lai, et al. 2021. “Separate and Combined Impacts of Building and Tree on Urban Thermal Environment from two-and three-dimensional Perspectives.” Building and Environment 194: 107650. doi:10.1016/j.buildenv.2021.107650.
   Web of Science ®Google Scholar
• Clinton, N., and P. Gong. 2013. “MODIS Detected Surface Urban Heat Islands and Sinks: Global Locations and Controls.” Remote Sensing of Environment 134: 294–304. doi:10.1016/j.rse.2013.03.008.
   Web of Science ®Google Scholar
• Duan, S., Z. Luo, X. Yang, and Y. Li. 2019. “The Impact of Building Operations on Urban heat/cool Islands under Urban Densification: A Comparison between naturally-ventilated and air-conditioned Buildings.” Applied Energy 235: 129–138. doi:10.1016/j.apenergy.2018.10.108.
   Web of Science ®Google Scholar
• Dziauddin, M. F. 2019. “Estimating Land Value Uplift around Light Rail Transit Stations in Greater Kuala Lumpur: An Empirical Study Based on Geographically Weighted Regression (GWR).” Research in Transportation Economics 74: 10–20. doi:10.1016/j.retrec.2019.01.003.
   Web of Science ®Google Scholar
• Elvidge, C. D., K. Baugh, M. Zhizhin, F. C. Hsu, and T. Ghosh. 2017. “VIIRS night-time Lights.” International Journal of Remote Sensing 38 (21): 5860–5879. doi:10.1080/01431161.2017.1342050.
   Web of Science ®Google Scholar
• Ezimand, K., M. Azadbakht, and H. Aghighi. 2021. “Analyzing the Effects of 2D and 3D Urban Structures on LST Changes Using Remotely Sensed Data.” Sustainable Cities and Society 74: 103216. doi:10.1016/j.scs.2021.103216.
   Web of Science ®Google Scholar
• Fang, C. 2014. “A Review of Chinese Urban Development Policy, Emerging Patterns and Future Adjustments.”Geographical Research 33 (4) 674–686 in Chinses
   Google Scholar
• Fu, P., and Q. Weng. 2018. “Variability in Annual Temperature Cycle in the Urban Areas of the United States as Revealed by MODIS Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 146 (12): 65–73. doi:10.1016/j.isprsjprs.2018.09.003.
   Google Scholar
• Gawuc, L., M. Jefimow, K. Szymankiewicz, M. Kuchcik, A. Sattari, and J. Struzewska. 2020. “Statistical Modeling of Urban Heat Island Intensity in Warsaw, Poland Using Simultaneous Air and Surface Temperature Observations.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 2716–2728. doi:10.1109/JSTARS.2020.2989071.
   Web of Science ®Google Scholar
• Haashemi, S., Q. Weng, A. Darvishi, and S. K. Alavipanah. 2016. “Seasonal Variations of the Surface Urban Heat Island in a semi-arid City.” Remote Sensing 8 (4): 352. doi:10.3390/rs8040352.
   Web of Science ®Google Scholar
• He, W., S. Cao, M. Du, D. Hu, Y. Mo, M. Liu, Y. Cao, and Y. Cao. 2021. “How Do Two-and Three-Dimensional Urban Structures Impact Seasonal Land Surface Temperatures at Various Spatial Scales? A Case Study for the Northern Part of Brooklyn, New York, USA.” Remote Sensing 13 (16): 3283. doi:10.3390/rs13163283.
   Web of Science ®Google Scholar
• Hong, T., M. Ferrando, X. Luo, and F. Causone. 2020. “Modeling and Analysis of Heat Emissions from Buildings to Ambient Air.” Applied Energy 277: 115566. doi:10.1016/j.apenergy.2020.115566.
   Web of Science ®Google Scholar
• Hu, Y., M. Hou, G. Jia, C. Zhao, X. Zhen, and Y. Xu. 2019. “Comparison of Surface and Canopy Urban Heat Islands within Megacities of Eastern China.” ISPRS Journal of Photogrammetry and Remote Sensing 156: 160–168. doi:10.1016/j.isprsjprs.2019.08.012.
   Web of Science ®Google Scholar
• Huang, X., and Y. Wang. 2019. “Investigating the Effects of 3D Urban Morphology on the Surface Urban Heat Island Effect in Urban Functional Zones by Using high-resolution Remote Sensing Data: A Case Study of Wuhan, Central China.” ISPRS Journal of Photogrammetry and Remote Sensing 152: 119–131. doi:10.1016/j.isprsjprs.2019.04.010.
   Web of Science ®Google Scholar
• Huang, Y., M. Yuan, and Y. Lu. 2019. “Spatially Varying Relationships between Surface Urban Heat Islands and Driving Factors across Cities in China.” Environment and Planning B: Urban Analytics and City Science 46 (2): 377–394.
   Google Scholar
• Huffman, G. J., E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan. 2019. GPM IMERG Final Precipitation L3 Half Hourly 0.1 Degree X 0.1 Degree V06. Greenbelt, MD: Goddard Earth Sciences Data and Information Services Center (GES DISC).
   Google Scholar
• Imhoff, M. L., P. Zhang, R. E. Wolfe, and L. Bounoua. 2010. “Remote Sensing of the Urban Heat Island Effect across Biomes in the Continental USA.” Remote Sensing of Environment 114 (3): 504–513. doi:10.1016/j.rse.2009.10.008.
   Web of Science ®Google Scholar
• Ivajnšič, D., M. Kaligarič, and I. Žiberna. 2014. “Geographically Weighted Regression of the Urban Heat Island of a Small City.” Applied Geography 53: 341–353. doi:10.1016/j.apgeog.2014.07.001.
   Web of Science ®Google Scholar
• Kalisa, W., T. Igbawua, M. Henchiri, S. Ali, S. Zhang, Y. Bai, and J. Zhang. 2019. “Assessment of Climate Impact on Vegetation Dynamics over East Africa from 1982 to 2015.” Scientific Reports 9 (1): 1–20. doi:10.1038/s41598-019-53150-0.
   PubMedGoogle Scholar
• Kannan, B. 2019. “Analysis of Seasonal Vegetation Dynamics Using MODIS Derived NDVI and NDWI Data: A Case Study of Tamil Nadu.” Madras Agricultural Journal 106 (march (1–3): 1.
   Google Scholar
• Karimi, A., P. Mohammad, S. Gachkar, D. Gachkar, A. García-Martínez, D. Moreno-Rangel, and R. D. Brown. 2021. “Surface Urban Heat Island Assessment of A Cold Desert City: A Case Study over the Isfahan Metropolitan Area of Iran.” Atmosphere 12 (10): 1368. doi:10.3390/atmos12101368.
   Web of Science ®Google Scholar
• Khamchiangta, D, and S.Dhakal. 2019.“Physical and non-physical factors driving urban heat island: Case of Bangkok Metropolitan Administration, Thailand.“ Journal of Environmental Management 248: 109285. doi:10.1016/j.jenvman.2019.109285
   PubMed Web of Science ®Google Scholar
• Kuang, W., S. Zhang, X. Li, and D. A. Lu. 2021. 30-meter Resolution Dataset of Impervious Surface Area and Green Space Fractions of China’s Cities, 2000–2018. Earth System Science Data Discuss 13 (1): 63–82. doi:10.5194/essd-13-63-2021 .
   Google Scholar
• Li, M., E. Koks, H. Taubenböck, and J. van Vliet. 2020a. “Continental-scale Mapping and Analysis of 3D Building Structure.” Remote Sensing of Environment 245: 111859. doi:10.1016/j.rse.2020.111859.
   Web of Science ®Google Scholar
• Li, L., Y. Zha, and J. Zhang. 2020b. “Spatially non-stationary Effect of Underlying Driving Factors on Surface Urban Heat Islands in Global Major Cities.” International Journal of Applied Earth Observation and Geoinformation 90: 102131. doi:10.1016/j.jag.2020.102131.
   Web of Science ®Google Scholar
• Li, H., Y. Li, T. Wang, Z. Wang, M. Gao, and H. Shen. 2021. “Quantifying 3D Building Form Effects on Urban Land Surface Temperature and Modeling Seasonal Correlation Patterns.” Building and Environment 204: 108132. doi:10.1016/j.buildenv.2021.108132.
   Web of Science ®Google Scholar
• Lu, D., and Q. Weng. 2006. “Use of Impervious Surface in Urban land-use Classification.” Remote Sensing of Environment 102 (1–2): 146–160. doi:10.1016/j.rse.2006.02.010.
   Web of Science ®Google Scholar
• Ma, L., Y. Wang, Z. Liang, J. Ding, J. Shen, F. Wei, and S. Li. 2021. “Changing Effect of Urban Form on the Seasonal and Diurnal Variations of Surface Urban Heat Island Intensities (Suhiis) in More than 3000 Cities in China.” Sustainability 13 (5): 2877. doi:10.3390/su13052877.
   Web of Science ®Google Scholar
• Manoli, G., S. Fatichi, M. Schläpfer, K. Yu, T. W. Crowther, N. Meili, P. Burlando, G. Katul, and E. Bou-Zeid. 2019. “Magnitude of Urban Heat Islands Largely Explained by Climate and Population.” Nature 573 (7772): 55–60. doi:10.1038/s41586-019-1512-9.
   PubMed Web of Science ®Google Scholar
• Manoli, G., S. Fatichi, E. Bou-Zeid, and G. G. Katul. 2020. “Seasonal Hysteresis of Surface Urban Heat Islands.” Proceedings of the National Academy of Sciences 117 (13): 7082–7089. doi:10.1073/pnas.1917554117.
   PubMed Web of Science ®Google Scholar
• Mathew, A., S. Khandelwal, N. Kaul, and S. Chauhan. 2018. “Analyzing the Diurnal Variations of Land Surface Temperatures for Surface Urban Heat Island Studies: Is Time of Observation of Remote Sensing Data Important?” Sustainable Cities and Society 40: 194–213. doi:10.1016/j.scs.2018.03.032.
   Web of Science ®Google Scholar
• Meng, Q., L. Zhang, Z. Sun, F. Meng, L. Wang, and Y. Sun. 2018. “Characterizing Spatial and Temporal Trends of Surface Urban Heat Island Effect in an Urban Main built-up Area: A 12-year Case Study in Beijing, China.” Remote Sensing of Environment 204: 826–837. doi:10.1016/j.rse.2017.09.019.
   Web of Science ®Google Scholar
• Mohammad, P., and A. Goswami. 2021. “Quantifying Diurnal and Seasonal Variation of Surface Urban Heat Island Intensity and Its Associated Determinants across Different Climatic Zones over Indian Cities.” GIScience & Remote Sensing 58 (7): 955–981. doi:10.1080/15481603.2021.1940739.
   Web of Science ®Google Scholar
• Morabito, M., A. Crisci, G. Guerri, A. Messeri, L. Congedo, and M. Munafò. 2021. “Surface Urban Heat Islands in Italian Metropolitan Cities: Tree Cover and Impervious Surface Influences.” Science of the Total Environment 751: 142334. doi:10.1016/j.scitotenv.2020.142334.
   PubMed Web of Science ®Google Scholar
• NBSC (National Bureau of Statistics of China). 2016. China Statistical Yearbook 2016. Beijing: China Statistics Press.
   Google Scholar
• Niu, L., R. Tang, Y. Jiang, and X. Zhou. 2020. “Spatiotemporal Patterns and Drivers of the Surface Urban Heat Island in 36 Major Cities in China: A Comparison of Two Different Methods for Delineating Rural Areas.” Sustainability 12 (2): 478. doi:10.3390/su12020478.
   Web of Science ®Google Scholar
• Niu, L., Z. Zhang, Z. Peng, Y. Liang, M. Liu, Y. Jiang, J. Wei, and R. Tang. 2021. “Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China’s 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression.” Remote Sensing 13 (21): 4428. doi:10.3390/rs13214428.
   Web of Science ®Google Scholar
• Peng, S., S. Piao, P. Ciais, P. Friedlingstein, C. Ottle, F. M. Bréon, H. Nan, L. Zhou, and R. B. Myneni. 2012. “Surface Urban Heat Island across 419 Global Big Cities.” Environmental Science & Technology 46 (2): 696–703. doi:10.1021/es2030438.
   PubMed Web of Science ®Google Scholar
• Roxon, J., F. J. Ulm, and R. M. Pellenq. 2020. “Urban Heat Island Impact on State Residential Energy Cost and CO2 Emissions in the United States.” Urban Climate 31: 100546. doi:10.1016/j.uclim.2019.100546.
   Web of Science ®Google Scholar
• Santamouris, M. 2014. “On the Energy Impact of Urban Heat Island and Global Warming on Buildings.” Energy and Buildings 82: 100–113. doi:10.1016/j.enbuild.2014.07.022.
   Web of Science ®Google Scholar
• Sekertekin, A, and Zadbagher. 2021.“Simulation of future land surface temperature distribution and evaluating surface urban heat island based on impervious surface area.“ Ecological Indicators 122: 107230. doi:10.1016/j.ecolind.2020.107230
   Web of Science ®Google Scholar
• Sobrino, J. A., and I. Irakulis. 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): 2052. doi:10.3390/rs12122052.
   Web of Science ®Google Scholar
• Stewart, I. D., and T. R. Oke. 2012. “Local Climate Zones for Urban Temperature Studies.” Bulletin of the American Meteorological Society 93 (12): 1879–1900. doi:10.1175/BAMS-D-11-00019.1.
   Web of Science ®Google Scholar
• Stewart, I. D., E. S. Krayenhoff, J. A. Voogt, J. A. Lachapelle, M. A. Allen, and A. M. Broadbent. 2021. “Time Evolution of the Surface Urban Heat Island.” Earth’s Future 9 (10): e2021EF002178. doi:10.1029/2021EF002178.
   Web of Science ®Google Scholar
• Sun, H., X. Zhao, Y. Chen, A. Gong, and J. Yang. 2013. “A New Agricultural Drought Monitoring Index Combining MODIS NDWI and day–night Land Surface Temperatures: A Case Study in China.” International Journal of Remote Sensing 34 (24): 8986–9001. doi:10.1080/01431161.2013.860659.
   Web of Science ®Google Scholar
• Sun, F., M. Liu, Y. Wang, H. Wang, and Y. Che. 2020. “The Effects of 3D Architectural Patterns on the Urban Surface Temperature at a Neighborhood Scale: Relative Contributions and Marginal Effects.” Journal of Cleaner Production 258: 120706. doi:10.1016/j.jclepro.2020.120706.
   Web of Science ®Google Scholar
• Taurines, K., S. Giroux-Julien, M. Farid, and C. Ménézo. 2021. “Numerical Modelling of a Building Integrated earth-to-air Heat Exchanger.” Applied Energy 296: 117030. doi:10.1016/j.apenergy.2021.117030.
   Web of Science ®Google Scholar
• Turner, K. V., M. L. Rogers, Y. Zhang, A. Middel, F. A. Schneider, J. P. Ocón, M. Seeley, and J. Dialesandro. 2022. “More than Surface Temperature: Mitigating Thermal Exposure in hyper-local Land System.” Journal of Land Use Science 17 (1): 79–99.
   Web of Science ®Google Scholar
• Venter, Z. S., T. Chakraborty, and X. Lee. 2021. “Crowdsourced Air Temperatures Contrast Satellite Measures of the Urban Heat Island and Its Mechanisms.” Science Advances 7 (22): eabb9569. doi:10.1126/sciadv.abb9569.
   PubMed Web of Science ®Google Scholar
• Wan, Z. 2014. “New Refinements and Validation of the Collection-6 MODIS land-surface temperature/emissivity Product.” Remote Sensing of Environment 140: 36–45. doi:10.1016/j.rse.2013.08.027.
   Web of Science ®Google Scholar
• Wang, F., Q. Ge, S. Wang, Q. Li, and P. D. Jones. 2015. “A New Estimation of Urbanization’s Contribution to the Warming Trend in China.” Journal of Climate 28 (22): 8923–8938. doi:10.1175/JCLI-D-14-00427.1.
   Web of Science ®Google Scholar
• Wang, Z., C. B. Schaaf, Q. Sun, Y. Shuai, and M. O. Román. 2018. “Capturing Rapid Land Surface Dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) Products.” Remote Sensing of Environment 207: 50–64. doi:10.1016/j.rse.2018.02.001.
   Web of Science ®Google Scholar
• Wang, Y., Z. Guo, and J. Han. 2021. “The Relationship between Urban Heat Island and Air Pollutants and Them with Influencing Factors in the Yangtze River Delta, China.” Ecological Indicators 129: 107976. doi:10.1016/j.ecolind.2021.107976.
   Web of Science ®Google Scholar
• Ward, K., S. Lauf, B. Kleinschmit, and W. Endlicher. 2016. “Heat Waves and Urban Heat Islands in Europe: A Review of Relevant Drivers.” Science of the Total Environment 569: 527–539. doi:10.1016/j.scitotenv.2016.06.119.
   PubMed Web of Science ®Google Scholar
• Weng, Q. 2009. “Thermal Infrared Remote Sensing for Urban Climate and Environmental Studies: Methods, Applications, and Trends.” ISPRS Journal of Photogrammetry and Remote Sensing 64 (4): 335–344. doi:10.1016/j.isprsjprs.2009.03.007.
   Web of Science ®Google Scholar
• Wu, X., L. Wang, R. Yao, M. Luo, S. Wang, and L. Wang. 2020. “Quantitatively Evaluating the Effect of Urbanization on Heat Waves in China.” Science of the Total Environment 731: 138857. doi:10.1016/j.scitotenv.2020.138857.
   PubMed Web of Science ®Google Scholar
• Xu, X. 2017. “Dataset of Spatial Distribution of China Population in Kilometer Grid.” Data Registration and Publishing System of Resource and Environmental Science Data Center, Chinese Academy of Sciences.” 10.12078/2017121101
   Google Scholar
• Xu, X. 2018. “Dataset of Spatial Distribution of China Annual Vegetation Index (NDVI).” Dataset of Spatial Distribution of China Population in Kilometer Grid.” 10.12078/2018060601
   Google Scholar
• Xu, Z., Z. Zhang, and C. Li. 2019. “Exploring Urban Green Spaces in China: Spatial Patterns, Driving Factors and Policy Implications.” Land Use Policy 89: 104249. doi:10.1016/j.landusepol.2019.104249.
   Web of Science ®Google Scholar
• Yang, X., and Y. Li. 2013. “Development of a three-dimensional Urban Energy Model for Predicting and Understanding Surface Temperature Distribution.” Boundary-layer Meteorology 149 (2): 303–321.
   Web of Science ®Google Scholar
• Yang, Q., X. Huang, J. Li, K. Kamizaki, Z. Wang, K. Tamada, and T. Takumi. 2017. “Assessing the Relationship between Surface Urban Heat Islands and Landscape Patterns across Climatic Zones in China.” Scientific Reports 7 (1): 1–11. doi:10.1038/s41598-016-0028-x.
   PubMed Web of Science ®Google Scholar
• Yang, C., F. Yan, and S. Zhang. 2020. “Comparison of Land Surface and Air Temperatures for Quantifying Summer and Winter Urban Heat Island in a Snow Climate City.” Journal of Environmental Management 265: 110563. doi:10.1016/j.jenvman.2020.110563.
   PubMed Web of Science ®Google Scholar
• Yang, J., M. Menenti, Z. Wu, M. S. Wong, S. Abbas, Y. Xu, and Q. Shi. 2021. “Assessing the Impact of Urban Geometry on Surface Urban Heat Island Using Complete and Nadir Temperatures.” International Journal of Climatology 41 (S1): 3219–3238. doi:10.1002/joc.6919.
   Google Scholar
• Yao, R., L. Wang, X. Huang, X. Wu, L. Yang, and Z. Niu. 2021a. “Assessing Urbanization’s Contribution to Warming in Mainland China Using satellite-estimated Air Temperature Data.” Progress in Physical Geography: Earth and Environment 45 (5): 687–705. doi:10.1177/0309133321988850.
   Google Scholar
• Yao, R., L. Wang, X. Huang, Y. Liu, Z. Niu, S. Wang, and L. Wang. 2021b. “Long-term Trends of Surface and Canopy Layer Urban Heat Island Intensity in 272 Cities in the Mainland of China.” Science of the Total Environment 772: 145607. doi:10.1016/j.scitotenv.2021.145607.
   PubMed Web of Science ®Google Scholar
• Ye, Z., K. Cheng, S. C. Hsu, H. H. Wei, and C. M. Cheung. 2021. “Identifying Critical building-oriented Features in city-block-level Building Energy Consumption: A data-driven Machine Learning Approach.” Applied Energy 301: 117453. doi:10.1016/j.apenergy.2021.117453.
   Web of Science ®Google Scholar
• Yu, S., Z. Chen, B. Yu, L. Wang, B. Wu, J. Wu, and F. Zhao. 2020. “Exploring the Relationship between 2D/3D Landscape Pattern and Land Surface Temperature Based on Explainable eXtreme Gradient Boosting Tree: A Case Study of Shanghai, China.” Science of the Total Environment 725: 138229. doi:10.1016/j.scitotenv.2020.138229.
   PubMed Web of Science ®Google Scholar
• Yu, C., D. Hu, S. Wang, S. Chen, and Y. Wang. 2021. “Estimation of Anthropogenic Heat Flux and Its Coupling Analysis with Urban Building characteristics–A Case Study of Typical Cities in the Yangtze River Delta, China.” Science of the Total Environment 774: 145805. doi:10.1016/j.scitotenv.2021.145805.
   Web of Science ®Google Scholar
• Zhang, X., Z. Jiao, C. Zhao, Y. Qu, Q. Liu, H. Zhang, Y. Tong, et al. 2022. “Review of Land Surface Albedo: Variance Characteristics, Climate Effect and Management Strategy.” Remote Sensing 14 (6): 1382. doi:10.3390/rs14061382.
   Web of Science ®Google Scholar
• Zhao, L., X. Lee, R. B. Smith, and K. Oleson. 2014. “Strong Contributions of Local Background Climate to Urban Heat Islands.” Nature 511 (7508): 216–219. doi:10.1038/nature13462.
   PubMed Web of Science ®Google Scholar
• Zhao, C., J. Jensen, Q. Weng, and R. Weaver. 2018. “A Geographically Weighted Regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon.” Remote Sensing 10 (9): 1428. doi:10.3390/rs10091428.
   Web of Science ®Google Scholar
• Zhao, C., J. Jensen, Q. Weng, N. Currit, and R. Weaver. 2019. “Application of Airborne Remote Sensing Data on Mapping Local Climate Zones: Cases of Three Metropolitan Areas of Texas, US.” Computers, Environment and Urban Systems 74: 175–193. doi:10.1016/j.compenvurbsys.2018.11.002.
   Web of Science ®Google Scholar
• Zhao, C., J. L. Jensen, Q. Weng, N. Currit, and R. Weaver. 2020. “Use of Local Climate Zones to Investigate Surface Urban Heat Islands in Texas.” GIScience & Remote Sensing 57 (8): 1083–1101. doi:10.1080/15481603.2020.1843869.
   Web of Science ®Google Scholar
• Zheng, D. 2008. Eco-Geographical Regions in China. Beijing, China: Commercial Press.
   Google Scholar
• Zhou, D., S. Zhao, S. Liu, L. Zhang, and C. Zhu. 2014. “Surface Urban Heat Island in China’s 32 Major Cities: Spatial Patterns and Drivers.” Remote Sensing of Environment 152: 51–61. doi:10.1016/j.rse.2014.05.017.
   Web of Science ®Google Scholar
• Zhou, D., S. Zhao, L. Zhang, G. Sun, and Y. Liu. 2015. “The Footprint of Urban Heat Island Effect in China.” Scientific Reports 5 (1): 1–11.
   Google Scholar
• Zhou, D., J. Xiao, S. Bonafoni, C. Berger, K. Deilami, Y. Zhou, S. Frolking, R. Yao, Z. Qiao, and J. A. Sobrino. 2019. “Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives.” Remote Sensing 11 (1): 48. doi:10.3390/rs11010048.
   Web of Science ®Google Scholar