Integration of Remote Sensing and Big Data to Study Spatial Distribution of Urban Heat Island for Cities with Different Terrain

Document Type : Original Article


Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India


Urban microclimate has posed a detrimental effect on the life of the urban population. This research drives with an aim of identifying environmentally conscious factor vis-a-vis urban planning which leads to the vicious cycle of urban climate change. The vicious cycle is inclusive of many urban dynamics’ parameters, which are complicated to understand. This research emphasizes on using Remote Sensing Big Data on Google Earth Engine as an advancement to study Climate Vulnerability leading to Urban Climate Gentrification. Temporal data of Landsat for the past 30 years has been taken into consideration for the study. Three cities with diverse geographical and terrain characteristics have been selected for the study, to understand the modern decisive planning is in coherence with the Sustainable Development Goals. Understanding spatial and temporal information of Urban hotspots using High-Resolution Satellite data is just not enough to suffice the need to decrease the temperature by 2- 3°C. The present study is a toll on how the reasons for microclimate change vary along with the terrain, spatial location, and urban growth pattern of the city.


  1. “How The Urban Heat Island Effect Is Harming Our Cities.” Retrieved March 3, (2022), from
  2. Hurlimann, A., Moosavi, S., and Browne, G. R. “Urban planning policy must do more to integrate climate change adaptation and mitigation actions.” Land Use Policy, Vol. 101, (2021), 105188.
  3. Liu, D., Hu, S., and Liu, J. “Contrasting the performance capabilities of urban radiation field between three microclimate simulation tools.” Building and Environment, Vol. 175, (2020), 106789.
  4. Landsberg H.E. The Urban Climate. NewYork: The Academic Press, (1981).
  5. EPA. “Learn About Heat Islands | Heat Island Effect | US EPA.” Retrieved November 18, (2020), from
  6. Khordadi, M. J., Alizadeh, A., Mahallati, M. N., Ansari, H., and Sanaeinejad, H. “Climate Change Impact on Precipitation Extreme Events in Uncertainty Situation; Passing from Global Scale to Regional Scale.” International Journal of Engineering, Transactions B: Applications, Vol. 28, No. 8, (2015), 1140-1144.
  7. Oke, T. Boundary Layer Climates. Taylor & Francis.
  8. Manoli, G., Fatichi, S., Schläpfer, M., Yu, K., Crowther, T. W., Meili, N., Burlando, P., Katul, G. G., and Bou-Zeid, E. “Magnitude of urban heat islands largely explained by climate and population.” Nature 2019 573:7772, Vol. 573, No. 7772, (2019), 55-60.
  9. Li, D., and Bou-Zeid, E. “Synergistic interactions between urban heat islands and heat waves: The impact in cities is larger than the sum of its parts.” Journal of Applied Meteorology and Climatology, Vol. 52, No. 9, (2013), 2051-2064.
  10. Loibl, W., Vuckovic, M., Etminan, G., Ratheiser, M., Tschannett, S., and Österreicher, D. “Effects of densification on urban microclimate—a case study for the city of Vienna.” Atmosphere, Vol. 12, No. 4, (2021).
  11. Tavares, S. G., Swaffield, S. R., and Stewart, E. J. “A case-based methodology for investigating urban comfort through interpretive research and microclimate analysis in post-earthquake christchurch, New Zealand.” Environment and Planning B: Urban Analytics and City Science, Vol. 46, No. 4, (2019), 731-750.
  12. Touati, N., Gardes, T., and Hidalgo, J. “A GIS plugin to model the near surface air temperature from urban meteorological networks.” Urban Climate, Vol. 34, (2020), 100692.
  13. Bherwani, H., Singh, A., and Kumar, R. “Assessment methods of urban microclimate and its parameters: A critical review to take the research from lab to land.” Urban Climate, Vol. 34, (2020), 100690.
  14. United Nation Climate Change. “The Paris Agreement | UNFCCC.” Retrieved July 6, (2020), from
  15. Roy, B., Bari, E., Nipa, N. J., and Ani, S. A. “Comparison of temporal changes in urban settlements and land surface temperature in Rangpur and Gazipur Sadar, Bangladesh after the establishment of city corporation.” Remote Sensing Applications: Society and Environment, Vol. 23, (2021), 100587.
  16. Liu, J., and Niyogi, D. “Identification of linkages between urban heat Island magnitude and urban rainfall modification by use of causal discovery algorithms.” Urban Climate, Vol. 33, (2020), 100659.
  17. Hu, D., Meng, Q., Zhang, L., and Zhang, Y. “Spatial quantitative analysis of the potential driving factors of land surface temperature in different ‘Centers’ of polycentric cities: A case study in Tianjin, China.” Science of the Total Environment, Vol. 706, (2020), 135244.
  18. Sharma, R., Pradhan, L., Kumari, M., and Bhattacharya, P. “Assessing urban heat islands and thermal comfort in Noida City using geospatial technology.” Urban Climate, Vol. 35, (2021), 100751.
  19. Ichsan Ali, M., Hafid Hasim, A. H. H., and Raiz Abidin, M. “Monitoring the Built-up Area Transformation Using Urban Index and Normalized Difference Built-up Index Analysis.” International Journal of Engineering, Transactions B: Applications, Vol. 32, No. 5, (2019), 647-653.
  20. Liang, J., Xie, Y., Sha, Z., and Zhou, A. “Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE).” Computers, Environment and Urban Systems, Vol. 84, (2020), 101542.
  21. Despini, F., Ferrari, C., Santunione, G., Tommasone, S., Muscio, A., and Teggi, S. “Urban surfaces analysis with remote sensing data for the evaluation of UHI mitigation scenarios.” Urban Climate, Vol. 35, (2021), 100761.
  22. Agarwal, S., and Nagendra, H. “Classification of Indian cities using Google Earth Engine.” Journal of Land Use Science.
  23. Ravanelli, R., Nascetti, A., Cirigliano, R. V., Di Rico, C., Monti, P., and Crespi, M. “Monitoring urban heat island through google earth engine: Potentialities and difficulties in different cities of the United States.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 42, No. 3, (2018), 1467-1472.
  24. Roy, B. “Optimum machine learning algorithm selection for forecasting vegetation indices: MODIS NDVI & EVI.” Remote Sensing Applications: Society and Environment, Vol. 23, (2021), 100582.
  25. Choudhury, D., Das, A., and Das, M. “Investigating thermal behavior pattern (TBP) of local climatic zones (LCZs): A study on industrial cities of Asansol-Durgapur development area (ADDA), eastern India.” Urban Climate, Vol. 35, (2021), 100727.
  26. Qaid, A., Bin Lamit, H., Ossen, D. R., and Raja Shahminan, R. N. “Urban heat island and thermal comfort conditions at micro-climate scale in a tropical planned city.” Energy and Buildings, Vol. 133, (2016), 577-595.
  27. Xu, M., Bruelisauer, M., and Berger, M. “Development of a new urban heat island modeling tool: Kent Vale case study.” Procedia Computer Science, Vol. 108, (2017), 225-234.
  28. Antoniou, N., Montazeri, H., Neophytou, M., and Blocken, B. “CFD simulation of urban microclimate: Validation using high-resolution field measurements.” Science of the Total Environment, Vol. 695, (2019), 133743.
  29. Wong, N. H., He, Y., Nguyen, N. S., Raghavan, S. V., Martin, M., Hii, D. J. C., Yu, Z., and Deng, J. “An integrated multiscale urban microclimate model for the urban thermal environment.” Urban Climate, Vol. 35, (2021), 100730.
  30. Wang, R., Ren, C., Xu, Y., Lau, K. K. L., and Shi, Y. “Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong.” Urban Climate, Vol. 24, (2018), 567-576.
  31. Wong, N. H., He, Y., Nguyen, N. S., Raghavan, S. V., Martin, M., Hii, D. J. C., Yu, Z., and Deng, J. “An integrated multiscale urban microclimate model for the urban thermal environment.” Urban Climate, Vol. 35, (2021), 100730.
  32. Morrison, W., Kotthaus, S., and Grimmond, S. “Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability.” Urban Climate, Vol. 35, (2021), 100748.
  33. Aleksandrowicz, O., Zur, S., Lebendiger, Y., and Lerman, Y. “Shade maps for prioritizing municipal microclimatic action in hot climates: Learning from Tel Aviv-Yafo.” Sustainable Cities and Society, Vol. 53, (2020), 101931.
  34. Prama, M., Omran, A., Schröder, D., and Abouelmagd, A. “Vulnerability assessment of flash floods in Wadi Dahab Basin , Egypt.” Environmental Earth Sciences, Vol. 79, No. 5, (2020), 1-17.
  35. “Delhi Development Authority.” Retrieved November 9, 2021, from