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What are the key elements influencing urban thermal comfort in large urban areas? A holistic remote sensing approach

https://doi.org/10.24057/2071-9388-2026-4503

Abstract

This paper presents a methodology to assess the effects of rising surface temperatures and greening on urban thermal comfort and resilience. Landsat 8 satellite images were collected and analyzed for 80 large urban areas from the C40 network. The Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) were calculated. Using UN population forecasts, a forecast model for LST and NDVI dynamics was developed. The analysis reveals that population density may be a stronger predictor of urban heat island exposure than climate zone or vegetation cover, with high-density areas showing substantially higher LST values even when vegetation cover is held constant. Based on Köppen climate zones, urban areas are expected to experience diverging temperature futures. The most concerning LST increases are projected for BWh (hot desert), Cfa (humid subtropical), and Dwa (continental with dry winter, hot summer) zones. Cfa and Dwa areas are predicted to become the hottest overall. BWh zones, while less troubled today, will likely see a sharp LST rise, driven by hyper-urbanization and the disproportionate impact of global warming on arid regions. Paradoxically, while BWh areas may see a slight NDVI increase, their warming trend is still expected to continue beyond a temporary dip forecast for Cfa and Dwa zones. This underscores that only decisive policy action can help these vulnerable areas mitigate the negative effects. 

About the Authors

Ivan N. Alov
Peoples’ Friendship University of Russia (RUDN University), Faculty of Economics, Department of Regional Economics and Geography
Russian Federation

6 Miklukho-Maklaya St., Moscow, 117198



Marko D. Petrović
Peoples’ Friendship University of Russia (RUDN University), Faculty of Economics, Department of Regional Economics and Geography; Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts,
Russian Federation

6 Miklukho-Maklaya St., Moscow, 117198

9 Djure Jakšića St., Belgrade, 11000



Ruslan A. Bulgakov
Qala AI Ltd
Kazakhstan

41 Zharokova St., Almaty, 050051



Sofia A. Ganzhinova
Terra Vista
Russian Federation

1/1 Marshala Vasilevskogo St., Moscow, 123098



Sergey N. Tyupanov
Qala AI Ltd
Kazakhstan

41 Zharokova St., Almaty, 050051



Dana Shukirbayeva
Qala AI Ltd
Kazakhstan

41 Zharokova St., Almaty, 050051



References

1. Aghamolaei R., Azizi M. M., Aminzadeh B., & O’Donnell J. (2023). A comprehensive review of outdoor thermal comfort in urban areas: Effective parameters and approaches. Energy & Environment, 34(6), 2204–2227. DOI: 10.1177/0958305X221116176

2. Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., & Wood, E. F. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, 5, Article 180214. https://doi.org/10.1038/sdata.2018.214

3. Borrell, C., Pons-Vigués, M., & Morrison, J. (2013). Factors and processes influencing health inequalities in urban areas. Journal of Epidemiology and Community Health, 67(5), 389–391. https://doi.org/10.1136/jech-2012-202014

4. Brzoska, P., & Razum, O. (2015). Why is it important to consider contextual factors in public health? Public Health, 129(1), 82–83. https://doi.org/10.1016/j.puhe.2014.10.014

5. Chan, S. Y., Chau, C. K., & Leung, T. M. (2017). On the study of thermal comfort and perceptions of environmental features in urban parks: A structural equation modeling approach. Building and Environment, 122, 171–183. https://doi.org/10.1016/j.buildenv.2017.06.014

6. Clarke, J. F., & Bach, W. (1971). Comparison of the comfort conditions in different urban and suburban microenvironments. International Journal of Biometeorology, 15(1), 41–54. https://doi.org/10.1007/BF01804717

7. Collins, M., Chandler, R., & Cox, P. (2012). Quantifying future climate change. Nature Climate Change, 2(6), 403–409. https://doi. org/10.1038/nclimate1414

8. Corburn, J., Vlahov, D., & Mberu, B. (2020). Slum health: Arresting COVID-19 and improving well-being in urban informal settlements. Journal of Urban Health, 97(3), 348–357. https://doi.org/10.1007/s11524-020-00438-6

9. Datta, A., & Shaban, A. (Eds.). (2016). Mega-urbanization in the Global South: Fast cities and new urban utopias of the postcolonial state. Routledge.

10. Eriksen, S. H., Nightingale, A. J., & Eakin, H. (2015). Reframing adaptation: The political nature of climate change adaptation. Global Environmental Change, 35, 523–533. https://doi.org/10.1016/j.gloenvcha.2015.09.014

11. Fiscella, K., & Williams, D. R. (2004). Health disparities based on socioeconomic inequities: Implications for urban health care. Academic Medicine, 79(12), 1139–1147. https://doi.org/10.1097/00001888-200412000-00004

12. Foudazi, F., & M’Rithaa, M. K. (2013). Sustainable cooling solutions for application in Western Cape Province, South Africa. International Journal of Sustainable Development, 16(3-4), 246–268. https://doi.org/10.1504/IJSD.2013.056565

13. Giles-Corti, B., Vernez-Moudon, A., Reis, R., Turrell, G., Dannenberg, A. L., Badland, H., Foster, S., Lowe, M., Sallis, J. F., Stevenson, M., & Owen, N. (2016). City planning and population health: A global challenge. The Lancet, 388(10062), 2912–2924. https://doi.org/10.1016/S0140-6736(16)30066-6

14. Glaeser, E. L. (2022). Urban resilience. Urban Studies, 59(1), 3–35. https://doi.org/10.1177/00420980211052230

15. Gomes Ribeiro, P. J., & Jardim Gonçalves, L. A. P. (2019). Urban resilience: A conceptual framework. Sustainable Cities and Society, 50, 101625. https://doi.org/10.1016/j.scs.2019.101625

16. Guha, G. H., & Mukherjee, S. (2017). Dynamic analysis and ecological evaluation of urban heat islands in Raipur city, India. Journal of Applied Remote Sensing, 11(3), 036020. https://doi.org/10.1117/1.JRS.11.036020

17. Harpham, T. (2009). Urban health in developing countries: What do we know and where do we go? Health & Place, 15(1), 107–116. https://doi.org/10.1016/j.healthplace.2008.03.004

18. Höppe, P. R. (1993). Heat balance modelling. Experientia, 49(9), 741–746. https://doi.org/10.1007/BF01923542

19. Hulme, M., Barrow, E. M., Arnell, N. W., Harrison, P. A., Johns, T. C., & Downing, T. E. (1999). Relative impacts of human-induced climate change and natural climate variability. Nature, 397(6721), 688–691. https://doi.org/10.1038/17789

20. Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010). Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment, 114(3), 504–513. https://doi.org/10.1016/j.rse.2009.10.008

21. Jabbar, M., Nasar-u-Minallah, M., & Yusoff, M. (2024). Predicting the impact of land use changes on thermal environment in Lahore, Pakistan: Implications for urban planning. Geography, Environment, Sustainability, 17(1), 95–109. https://doi.org/10.24057/2071-9388-2023- 2905

22. Jiang, Y., Wang, Z., Lin, B., & Mumovic, D. (2020). Development of a health data-driven model for a thermal comfort study. Building and Environment, 177, 106874. https://doi.org/10.1016/j.buildenv.2020.106874

23. Jiménez-Muñoz, J. C., Sobrino, J. A., Skoković, D., Mattar, C., & Cristóbal, J. (2014). Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data. IEEE Geoscience and Remote Sensing Letters, 11(10), 1840–1843.

24. Kaur, A. (2022). A review on causes and effects of global warming. International Journal of Innovative Research in Computer Science & Technology, 10(2), 305–308.

25. Lai, D., Lian, Z., Liu, W., Guo, C., Liu, W., Liu, K., & Chen, Q. (2020). A comprehensive review of thermal comfort studies in urban open spaces. Science of The Total Environment, 742, 140092. https://doi.org/10.1016/j.scitotenv.2020.140092

26. Li, X., Zhou, Y., Asrar, G. R., Imhoff, M., & Li, X. (2017). The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. Science of the Total Environment, 605, 426–435. https://doi.org/10.1016/j.scitotenv.2017.06.229

27. Ma, X., Wang, M., Zhao, J., Zhang, L., & Liu, W. (2020). Performance of different urban design parameters in improving outdoor thermal comfort and health in a pedestrianized zone. International Journal of Environmental Research and Public Health, 17(22), 8258. https://doi.org/10.3390/ijerph17072258

28. Manoli, G., Fatichi, S., Schläpfer, M., Yu, K., Crowther, T. W., Meili, N., Burlando, P., Katul, G. G., & Bou-Zeid, E. (2019). Magnitude of urban heat islands largely explained by climate and population. Nature, 573(7772), 55–60. https://doi.org/10.1038/s41586-019-1512-9

29. Mayer, H., & Höppe, P. (1987). Thermal comfort of man in different urban environments. Theoretical and Applied Climatology, 38(1), 43–49. https://doi.org/10.1007/BF00866252

30. Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning, 147, 38–49. https://doi.org/10.1016/j.landurbplan.2015.11.011

31. Milovanović, B., Takara, K., Radovanović, M., Milivojević, M., & Jovanović, J. M. (2023). Frequency analysis of absolute maximum air temperatures in Serbia. Journal of the Geographical Institute “Jovan Cvijić” SASA, 73(3), 279–293. https://doi.org/10.2298/IJGI2303279M

32. Mitlin, D., & Satterthwaite, D. (2013). Urban poverty in the Global South: Scale and nature. Routledge. Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017). Urban Climates. Cambridge University Press. Ormandy, D., & Ezratty, V. (2012). Health and thermal comfort: From WHO guidance to housing strategies. Energy Policy, 49, 116–121. https://doi.org/10.1016/j.enpol.2011.09.003

33. Paköz, M. Z., & Işık, M. (2022). Rethinking urban density, vitality and healthy environment in the post-pandemic city: The case of Istanbul. Cities, 124, 103598. https://doi.org/10.1016/j.cities.2022.103598

34. Sarkar, C., & Webster, C. (2017). Healthy cities of tomorrow: The case for large scale built environment–health studies. Journal of Urban Health, 94(1), 4–19. https://doi.org/10.1007/s11524-016-0122-1

35. Schaudienst, F., & Vogdt, F. U. (2017). Fanger’s model of thermal comfort: a model suitable just for men? Energy Procedia, 132, 129–134. https://doi.org/10.1016/j.egypro.2017.09.658

36. Sharma, R., Pradhan, L., Kumari, M., & Bhattacharya, P. (2021). Assessing urban heat islands and thermal comfort in Noida City using geospatial technology. Urban Climate, 35, 100751. https://doi.org/10.1016/j.uclim.2020.100751

37. Sobrino, J. A., Jiménez-Muñoz, J. C., & Paolini, L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90(4), 434–440.

38. Sobrino, J. A., Raissouni, N., & Li, Z. L. (2001). A comparative study of land surface emissivity retrieval from NOAA data. Remote Sensing of Environment, 75(2), 256–266.

39. Stewart, I. D. (2019). Why should urban heat island researchers study history? Urban Climate, 30, 100484. https://doi.org/10.1016/j. uclim.2019.100484

40. Stewart, I. D., & Mills, G. (2021). The urban heat island. Elsevier. Stewart, I. D., & Oke, T. R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 93(12), 1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1

41. Szagri, D., Nagy, D., & Szalay, Z. (2023). How can we predict where heatwaves will have an impact? A literature review on heat vulnerability indexes. Urban Climate, 52, 101711. https://doi.org/10.1016/j.uclim.2023.101711

42. Ünal, Y. S., Tan, E., & Mentes, S. S. (2013). Summer heat waves over western Turkey: Urban heat island and sea breeze effects. Theoretical and Applied Climatology, 112(1-2), 339–350. https://doi.org/10.1007/s00704-012-0704-0

43. Venter, Z. S., Krog, N. H., & Barton, D. N. (2020). Linking green infrastructure to urban heat and human health risk mitigation in Oslo, Norway. Science of The Total Environment, 709, 136193. https://doi.org/10.1016/j.scitotenv.2019.136193

44. Vlahov, D., Freudenberg, N., Proietti, F., Ompad, D., Quinn, A., Nandi, V., & Galea, S. (2007). Urban as a determinant of health. Journal of Urban Health, 84(1), 16–26. https://doi.org/10.1007/s11524-007-9169-3

45. Vlahov, D., & Galea, S. (2003). Urban health: A new discipline. The Lancet, 362(9390), 1091–1092. https://doi.org/10.1016/S0140-6736(03)14499-6

46. Vlahov, D., & Galea, S. (2005). Urban health: Evidence, challenges, and directions. Annual Review of Public Health, 26, 341–365. https://doi.org/10.1146/annurev.publhealth.26.021304.144708

47. Vlahov, D., & Galea, S. (2002). Urbanization, urbanicity, and health. Journal of Urban Health, 79(1, Suppl 1), S1–S12. https://doi.org/10.1093/jurban/79.suppl_1.s1

48. Yin, Z., Liu, Z., Liu, X., Zheng, W., & Yin, L. (2023). Urban heat islands and their effects on thermal comfort in the US: New York and New Jersey. Ecological Indicators, 154, 110765. https://doi.org/10.1016/j.ecolind.2023.110765

49. Zhang, Y., & Sun, L. (2019). Spatial-temporal impacts of urban land use land cover on land surface temperature: Case studies of two Canadian urban areas. International Journal of Applied Earth Observation and Geoinformation, 75, 171–181. https://doi.org/10.1016/j.jag.2018.10.005

50. Zhao, Q., Lian, Z., & Lai, D. (2021). Thermal comfort models and their developments: A review. Energy and Built Environment, 2(1), 21–33. https://doi.org/10.1016/j.enbenv.2020.05.007

51. Ziter, C. D., Pedersen, E. J., Kucharik, C. J., & Turner, M. G. (2019). Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer. Proceedings of the National Academy of Sciences, 116(15), 7575–7580. https://doi.org/10.1073/pnas.1817561116


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Alov I.N., Petrović M.D., Bulgakov R.A., Ganzhinova S.A., Tyupanov S.N., Shukirbayeva D. What are the key elements influencing urban thermal comfort in large urban areas? A holistic remote sensing approach. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2026;19(3):87-98. https://doi.org/10.24057/2071-9388-2026-4503

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)