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Beyond Urban Heat Islands: Linking Land Surface Temperature to Urban Air Pollution through Geospatial and Correlation Analytics

Yusuf Ahmed Yusuf1,2,3, Helmi Zulhaidi Mohd Shafri1,3,*, Kamil Muhammad Kafi4,5,*, Siti Nur Aliaa Roslan1,3, Jibrin Gambo3,6

1 Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
2 Deparment of Environmental Management, Faculty of Earth and Environmental Sciences, Bayero University, Kano, Nigeria
3 Geospatial Information Science Research Centre (GISRC), Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
4 Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
5 Department of Urban and Regional Planning, Faculty of Earth and Environmental Sciences, Bayero University, Kano, Nigeria
6 Department of General Studies, Binyaminu Usman Polytechnic, Hadejia, Nigeria

* Corresponding Authors: Helmi Zulhaidi Mohd Shafri. Email: email; Kamil Muhammad Kafi. Email: email

Revue Internationale de Géomatique 2026, 35, 491-508. https://doi.org/10.32604/rig.2026.084692

Abstract

Urbanization alters land surface characteristics, intensifies urban heat, and degrades air quality, posing significant environmental and public health challenges. This study investigated the relationship between urban land surface temperature (LST) and air pollution in Kano Metropolis, Nigeria, using Earth observation data, geospatial techniques, and correlation analysis. Land use/land cover (LULC) analysis revealed that built-up areas account for 67.4% of the metropolitan area, contributing to elevated land surface temperatures, particularly within the densely urbanized local government areas of Kano Municipal, Gwale, Ungogo, Dala, and Fagge, as demonstrated by the LST and Urban Heat Island (UHI) analyses. To evaluate the relationship between urban heat and air quality, Pearson correlation analysis showed strong and statistically significant positive relationships between LST and particulate matter, with PM2.5 (r = 0.74, p < 0.001) and PM10 (r = 0.61, p < 0.001) exhibiting the strongest associations. In contrast, CO2, TVOC, and HCHO displayed weak and statistically non-significant relationships with LST. Air Quality Index (AQI) assessment further revealed that 53.6% of the metropolitan area experienced unhealthy air quality, with localized very unhealthy conditions concentrated around commercial cooking areas where biomass fuels are extensively used. These findings indicate that particulate pollution is closely associated with urban surface heating, whereas gaseous pollutants are comparatively less influenced by LST. Overall, the results demonstrate that rapid urbanization, increasing impervious surfaces, and anthropogenic emissions collectively contribute to elevated urban temperatures and deteriorating particulate air quality in Kano Metropolis. These findings provide valuable evidence to support sustainable urban planning through urban greening, the use of high-albedo materials, and cleaner cooking technologies to mitigate urban heat, improve air quality, and reduce public health risks in rapidly urbanizing cities.

Keywords

Urban heat islands; air quality; remote sensing; Nigeria; public health; sustainable urban planning

Cite This Article

APA Style
Yusuf, Y.A., Shafri, H.Z.M., Kafi, K.M., Roslan, S.N.A., Gambo, J. (2026). Beyond Urban Heat Islands: Linking Land Surface Temperature to Urban Air Pollution through Geospatial and Correlation Analytics. Revue Internationale de Géomatique, 35(1), 491–508. https://doi.org/10.32604/rig.2026.084692
Vancouver Style
Yusuf YA, Shafri HZM, Kafi KM, Roslan SNA, Gambo J. Beyond Urban Heat Islands: Linking Land Surface Temperature to Urban Air Pollution through Geospatial and Correlation Analytics. Revue Internationale de Géomatique. 2026;35(1):491–508. https://doi.org/10.32604/rig.2026.084692
IEEE Style
Y. A. Yusuf, H. Z. M. Shafri, K. M. Kafi, S. N. A. Roslan, and J. Gambo, “Beyond Urban Heat Islands: Linking Land Surface Temperature to Urban Air Pollution through Geospatial and Correlation Analytics,” Revue Internationale de Géomatique, vol. 35, no. 1, pp. 491–508, 2026. https://doi.org/10.32604/rig.2026.084692



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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