GIS-Based Determination of Urban Heat Island Profile of Kaduna Metropolis, Nigeria
DOI:
https://doi.org/10.56919/usci.2541.040Keywords:
NDVI, Urban, Heat, Island, ProfileAbstract
Study’s Excerpt:
• Uses Landsat OLI (2024), NDVI-LST-UHI analysis, and OLS regression for urban heat study.
• Air temperature data improves reliability of study findings through ground truthing.
• Confirms NDVI, LST, and UHI links, consistent with earlier urban heat effect studies.
• Vegetation's cooling effect confirmed, but no new local mitigation strategies identified.
• Findings stress urgent need for green infrastructure to tackle rising UHI from human activity.
Full Abstract:
Studies on Urban Heat Island (UHI) have become an important way to create sustainable and lively cities; it improves public health and enhances urban quality of life. An increase in the level of Land Surface Temperature (LST) and a corresponding rise in the urban temperature as UHI among many cities of Nigeria brings about more outbreaks of heat related diseases. The current research focused on the assessment of spatial patterns of LST and UHI in the Kaduna metropolis. Land sat 8, operational land imager (OLI) imagery of April 2024 was used for the research. Analysis was conducted through the determination of the Normalized Difference Vegetation Index (NDVI), vegetation density map, satellite brightness temperature, LST, and finally, UHI profile on ArcGIS 10.8 software. Results on vegetation density revealed that areas with very low vegetation cover recorded the highest (44.86%) while those with moderate vegetation cover had the lowest (12.06%). The findings also indicated that the highest (47.55%) percent of the study area experienced higher LST while only 8.93% experienced lower LST. Results also show that most (37.43%) percent of the research area recorded a high (6.55oC) rate of UHI, 16.38% recorded about 8.5oC, while only 1.87% experienced a low UHI of 3.4oC. Results of the regression analysis between NDVI and UHI indicated an inverse relationship between vegetation density and urban heat islands in such a way that, for every 1-unit increase in vegetation density, UHI decreases by ~19.63 units while the negative sign means more vegetation resulted in lower urban heat (cooling effect). In conclusion, the study indicated that the western and heart of the metropolis had high UHI profiles while the eastern part of the area and other areas along the water bodies experienced lower UHI. Based on these, the study recommends the provision of strategies such as plating trees which will help in reducing higher rate of heat, this is more especially during the hot and dry season.
References
Abdullahi, A. H. (2020). GIS-based analysis of the relationship between urban vegetation and land surface temperature of Kano metropolis, Nigeria. In A. F. Abdussalam, A. A. Adepetu, & I. Zaharaddeen (Eds.), Ecosystem dynamics and disaster risk management. M. O. Press and Publishers Ltd.
Abuloye, A. P., Popola, K. S., Adewale, A. O., Onana, V. E., & Elugoke, N. O. (2015). An assessment of daytime surface urban heat island in Onitsha, Nigeria [Paper presentation]. National Metrological Society (NMetS) 2015 International Conference and 29th Annual General Meeting, Institute of Ecology and Environmental Studies, Obafemi Awolowo University, Ile-Ife, Nigeria. https://doi.org/10.13140/RG.2.1.5117.5765
Adewara, M. B., & Oyewole, A. M. (2019). Dynamic effects of urban heat island in Ilaro Town, Yewa South LGA of Ogun, South West Nigeria. IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT), 13(12), 51-60.
Akbari, H., Kolokotsa, D., & Santamouris, M. (2021). Cool roofs and pavements to mitigate urban heat islands. Renewable and Sustainable Energy Reviews, 133, 110296.
Babalola, O. S., & Akinsanola, A. A. (2016). Change detection in land surface temperature and land use land cover over Lagos Metropolis, Nigeria. Journal of Remote Sensing & GIS, 5(3), 1-7. https://doi.org/10.4172/2469-4134.1000171
Bello, A. L. (1993). Kaduna State. In R. K. Udo & A. B. Mamman (Eds.), Nigeria giant in the tropics- State surveys (Vol. 2). Gabumo Publishers.
Changkua, S., Baoya, S., Wenjing, L., Lina, W., & Yangyang, L. (2025). Investigating the influence of land cover on land surface temperature. Advances in Space Research, 75(3), 2614-2631. https://doi.org/10.1016/j.asr.2024.11.016
Curran, P. J., & Atkinson, P. M. (1998). Geostatistics and remote sensing. Progress in Physical Geography, 22, 61-78. https://doi.org/10.1177/030913339802200103
Cyril, K. E., Mwanret, G. D., & Emmanuel, C. U. (2019). Land-use and land-cover analysis of Kaduna South Local Government Area, Kaduna State, Nigeria. American Journal of Environmental Protection, 8(3), 62-71. https://doi.org/10.11648/j.ajep.20190803.11
Fabrizi, R., Bonafoni, S., & Biondi, R. (2010). Satellite and ground-based sensor for the urban heat island analysis in the city of Rome. Remote Sensing, 2, 140-145. https://doi.org/10.3390/rs2051400
Falahatkar, S., Hosseini, S. M., & Soffianian, A. R. (2011). The relationship between land cover changes and spatial-temporal dynamics of land surface temperature. Indian Journal of Science, 4(2), 76-80. https://doi.org/10.17485/ijst/2011/v4i2.4
Ifatimehin, O. O. (2007). An assessment of urban heat island of Lokoja town and surroundings using Landsat ETM data. FUTY Journal of the Environment, 2(1), 9-17.
Isioye, O. A., Ikwueze, H. U., & Akomolafe, E. A. (2020). Urban heat island effects and thermal comfort in Abuja Municipal Area Council of Nigeria. FUTY Journal of the Environment, 14(2), 19-34.
Jacob, R. J. (2015). Effects of urban growth on temporal variation of surface temperature in Katsina Metropolis, Nigeria [Master's thesis, Ahmadu Bello University].
Mande, K. H., & Abashiya, D. O. (2020). Assessment of urban heat island in Kaduna Metropolis between 2000 and 2018. FUDMA Journal of Sciences (FJS), 4(4), 166-174. https://doi.org/10.33003/fjs-2020-0404-450
Nantip, T. G., Obot, A. I., & Peter, A. O. (2023). Classification of land-use/land- cover in Kaduna Metropolis, Kaduna State, Nigeria. Geoinfor Geostat: An Overview, 11(5), 1-7.
NASA. (2015). Landsat 8 science data users handbook. United States. http://landsat.usgs.gov/landsat.php
Ngie, A., Abutaleb, K., Ahmed, F., Taiwo, O. J., Darwish, A. A., & Ahmed, M. (2015). An estimation of land surface temperatures from Landsat ETM+ images for Durban South Africa. GeoTech Rwanda, 1(1), 1-9. https://doi.org/10.4314/rj.v1i2S.2D
Nigerian Meteorological Agency (NIMET). (2018). Daily meteorological variables.
Nigerian Meteorological Agency (NiMet). (2023). Climate reports for Kaduna Metropolis. https://nimet.gov.ng
Ogashwar, I., & Basto, V. (2012). A quantitative approach for analyzing the relationship between urban heat islands and land cover. Remote Sensing, 4, 3596-3618. https://doi.org/10.3390/rs4113596
Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2020). Urban climates. Cambridge University Press.
United States Geological Survey. (2016). Landsat 8 (L8) data users handbook (Version 2.0). Department of the Interior, United States Geological Survey, EROS.
Wuyep, S. Z., & Samuel, A. A. (2020). Assessment of urban heat island using remote sensing and GIS techniques in Jos Metropolis, Nigeria. FUDMA International Journal of Social Sciences (FUDIJOSS), 2(2), 29-40.
Yusuf, Y. Y., Garba, H., Mohammed, M. D., Abdullahi, U., Muhammad, U., Mohammed, A. A., & Auwal, H. A. (2023). Analysis of two decades variations in urban heat island using remotely sensed data in Nguru Local Government Area, Yobe State, Nigeria. International Journal of Environment and Geoinformatics, 10(2), 110-119. https://doi.org/10.30897/ijegeo.1220431
Zahraddeen, I., Ibrahim, B. I., & Zachariah, A. (2016). Estimation of land surface temperature of Kaduna Metropolis, Nigeria using Landsat images. Science World Journal, 19(3), 36-41.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ahmad Hamza Abdullahi, Abdulrazak Ahmed, Jamilu Usman, Abdulhakim Wagini Hassan, Yunusa Halliru, Ajobunu Ibrahim Saliu, Zainab Yusuf

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.