Abstract
Improving the planning and management of urban green spaces can cause a drastic reduction in land surface temperature (LST). This research explored the geospatial techniques in assessing the effect of green spaces on the thermal environment of Port Harcourt, Nigeria during a hot-dry season. In this study, the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI) were employed to investigate the effects of vegetation distribution of urban green spaces on the urban thermal environment. LST maps were retrieved from the Thermal Infrared Sensor data of Landsat 8 acquired on 27 December 2018, while urban green spaces were extracted from high-resolution Google Earth Pro imagery. The results showed that a strong negative relationship exists between NDVI and LST, as well as between SAVI and LST which showed that urban green spaces have proven to have substantial cooling effects on the urban thermal environment within the study area. Results further revealed that increasing the area of green spaces to 28.67 ha and above will ensure the attainment of a stronger Park Cooling Intensity (PCI) effect. On the other hand, green spaces which are 8.28 ha or less have a lower PCI effect. The shape (perimeter/area) of green spaces has proven to have a negative correlation with the PCI effect. Green spaces with near-circular configurations will produce a stronger PCI effect. The role of urban greenery in mitigating high discomfort experienced in urban environments is crucial to urban planners and managers in the design of green spaces with a high cooling effect.

















Similar content being viewed by others
References
Aderoju, O. M., Samakinwa, E. K., & Ibrahim, D. (2013). An assessment of urban heat Island in Akure using geospatial techniques. Journal of Environmental Science, Taxicology, 6(3), 24–34.
Agbor, E. O. M. C. F. (2019). Geoinformatic assessment of urban heat island and land use / cover processes: A case study from Akure. Environmental Earth Sciences. https://doi.org/10.1007/s12665-019-8433-7
Agnihotri, A. K., Ohri, A., & Mishra, S. (2018). Impact of Green Spaces on the urban Microclimate through Landsat 8 and TIRS Data, in Varanasi, India. International Journal of Environment and Sustainability. https://doi.org/10.24102/ijes.v7i2.913
Alavipanah, S. K., Saradjian, M., Savaghebi, G. R., Komaki, C. B., Moghimi, E., & Karimpur Reyhan, M. (2010). Land surface temperature in the yardang region of Lut desert (Iran) based on field measurements and Landsat thermal data. Journal Agriculture. Science Technology, 9, 287–303.
Amani-Beni, M., Zhang, B., Xie, G. D., & Shi, Y. (2019). Impacts of urban green landscape patterns on land surface temperature: Evidence from the adjacent area of Olympic Forest Park of Beijing China. Sustainability, 11(2), 513.
Anjos, M., & Lopes, A. (2017). Urban Heat Island and Park Cool Island Intensities in the Coastal City of Aracaju North-Eastern Brazil. Sustainability, 9(8), 1379. https://doi.org/10.3390/su9081379
Arnfield, A. J. (2003). Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23, 1–26.
Balogun, I. A., Balogun, A. A., & Adeyewa, Z. D. (2012). Observed urban heat island characteristics in Akure, Nigeria. African Journal of Environmental Science and Technology, 6(1), 1–8.
Balogun, I. A., & Daramola, M. T. (2018). The impact of urban green areas on the surface thermal environment of a tropical city: A case study of Ibadan. Nigeria: Spatial Information Research. https://doi.org/10.1007/s41324-018-0219-6
Barrera, F. D., Reyes-paecke, S., & Banzhaf, E. (2015). Indicators for green spaces in contrasting urban settings. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2015.10.027
Buyadi, S., N., A., Mohd, W., M., N., W., & Misni, A. (2014). Impact of vegetation growth on urban surface temperature distribution Impact of vegetation growth on urban surface temperature distribution. 8th International Symposium of the Digital Earth (ISDE8). https://doi.org/10.1088/1755-1315/18/1/012104
Cao, X., Onishi, A., Chen, J., & Imura, H. (2010). Quantifying the cool island intensity of urban parks using ASTER and IKONOS data. Landscape Urban Planning, 96, 224–231.
Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241–252.
Cetin, M. (2015). Using GIS analysis to assess urban green space in terms of accessibility: Case study in Kutahya. International Journal of Sustainable Development & World Ecology, 22(5), 420–424. https://doi.org/10.1080/13504509.2015.1061066
Chang, C. R., Li, M. H., & Chang, S. D. (2007). A preliminary study on the local cool-island intensity of Taipei city parks. Landscape and Urban Planning, 80, 386–395.
Chen, Y., & Wong, N. H. (2006). Thermal benefits of city parks. Energy and Buildings, 38, 105–120.
Chibuike, E. M., Adedeji, O. I., Joshua, J. K., & Ahmad, A. (2018). Assessment of green parks cooling effect on Abuja Urban microclimate using geospatial techniques. Remote Sensing Applications: Society and Environment. https://doi.org/10.1016/j.rsase.2018.04.006
Choi, H., & Lee, W.K. (2011). Effect of green spaces on urban heat distribution using satellite imagery. In 32nd Asian Conference on Remote Sensing 2011, ACRS 2011 (Vol. 4, pp. 2286–2289).
Choi, H., Lee, W., & Byun, W. (2012). Determining the effect of green spaces on urban heat distribution using satellite imagery. Asian Journal of Atmospheric Environment, 6, 127–135. https://doi.org/10.5572/ajae.2012.6.2.127
Connors, J. P., Galletti, C. S., & Chow, W. T. L. (2013). Landscape configuration and urban heat island effects: Assessing the relationship between landscape characteristics and land surface temperature in Phoenix Arizona. Landscape Ecology, 28, 271–283.
Cui, Y. Y., & de Foy, B. (2012). Seasonal variations of the urban heat island at the surface and the near-surface and reductions due to urban vegetation in Mexico City. Journal of Applied Meteorology and Climatolog, 51, 855–868.
Declet-Barreto, J., Brazel, A. J., Martin, C. A., Chow, W. T., & Harlan, S. L. (2013). Creating the park cool island in an inner-city neighborhood: Heat mitigation strategy for Phoenix, AZ. Urban Ecosystems, 16(3), 617–635.
Dimoudi, A., & Nikolopoulou, M. (2003). Vegetation in the urban environment: Micro-climate analysis and benefits. Energy and Buildings, 35, 69–76.
Du, H., Cai, W., Xu, Y., Wang, Z., Wang, Y., & Cai, Y. (2017). Quantifying the cool island effects of urban green spaces using remote sensing Data. Urban Forestry & Urban Greening, 27, 24–31.
Eludoyin, A. O., Omotoso, I., & Eludoyin, O. M. (2019). Remote Sensing technology for evaluation of variations in land surface temperature, and case study analysis from Southwest Nigeria : Volume eight remote sensing technology for evaluation of variations in land surface temperature, and case study analysis from Southwest Nigeria. https://doi.org/10.1007/978-3-030-04750-4.
Estoque, R. C., Murayama, Y., & Myint, S. W. (2017). Effects of landscape composition and patternon land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349–359.
Feizizadeh, B., & Blaschke, T. (2013). Examining urban heat island relations to land use and air pollution: Multiple end member spectral mixture analysis for thermal remote sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 1749–1756.
Georgi, N. J., & Dimitriou, D. (2010). The contribution of urban green spaces to the improvement of environment in cities: Case study of Chania, Greece. Building and Environment, 45, 1401–1414.
Giorgio, G., Ragosta, M., & Telesca, V. (2017). Climate variability and industrial-suburban heat environment in a mediterranean area. Sustainability, 9, 775.
Guhathakurta, S., & Gover, G. (2007). The impact of the Phoenix heat island on residential water use. Journal of the American Planning Association, 73(3), 317–329.
Hamdi, R., & Schayes, G. (2007). Sensitivity study of the urban heat island intensity to urban characteristics. International Journal of Climatology, 28, 973–982.
Hattis, D., Ogneva-Himmelberger, Y., & Ratick, S. (2012). The spatial variability of heat-related mortality in Massachusetts. Applied Geography, 33, 45–52.
Huang, G., Zhou, W., & Cadenasso, M. L. (2011). Is everyone hot in the city? Spatial pattern of land surface temperatures, land cover and neighborhood socioeconomic characteristics in Baltimore MD. Journal of Environmental Management, 92, 1753–1759.
Huete, A. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, 295–309.
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, 504–513.
Jauregui, E. (1990). Influence of a large urban park on temperature and convective precipitation in a tropical city. Energy and Buildings, 15, 457–463.
Jensen, J. R. (2007). Remote sensing of the environment: An earth resource perspective (2nd ed.). Pearson Prentice Hall: Upper Saddle River, NJ, USA.
Kaplan, G., Avdan, U., & Avdan, Z. Y. (2018). Urban heat island analysis using the landsat 8 satellite data: A case study in Skopje. Macedonia. https://doi.org/10.3390/ecrs-2-05171
Kaufmann, R. K., Zhou, L., Myneni, R. B., Tucker, C. J., Slayback, D., Shabanov, N. V., & Pinzon, J. (2003). The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data. Geophysical research letters, 30(22), 3–6. https://doi.org/10.1029/2003GL018251
Kayet, N. (2016). Urban heat island explored by co-relationship between land surface temperature verses multiple vegetation indices. Spatial Information Research. https://doi.org/10.1007/s41324-016-0049-3
Kayet, N., Pathak, K., Chakrabarty, A., & Sahoo, S. (2016). Urban heat island explored by co-relationship between land surface temperature vs multiple vegetation indices. Spatial Information Research, 24(5), 515–529.
Klok, L., Zwart, S., Verhagen, H., & Mauri, E. (2012). The surface heat island of Rotterdam and its relationship with urban surface characteristics. Resources, Conservation and Recycling, 64, 23–29.
Koc, C. B., Osmond, P., Peters, A., & Irger, M. (2017). A Methodological Framework to assess the thermal performance of green infrastructure through airborne remote sensing. Procedia Engineering, 180, 1306–1315.
Kovats, T. R., & Hajat, S. (2008). Heat stress and public health: A critical review. Annual Review of Public Health, 29, 42–55.
Lai, L.-W., & Cheng, W. L. (2009). Air quality influenced by urban heat island coupled with synoptic weather patterns. Science of the Total Environment, 407, 2724–2733.
Li, X., Zhou, W., Ouyang, Z., Xu, W., & Zheng, H. (2012). Spatial pattern of green space affects land surface temperature: Evidence from the heavily urbanized Beijing metropolitan area China. Landscape Ecology, 27, 887–898.
Li, Z. L., Tang, B. H., Wu, H., Ren, H., Yan, G., Wan, Z., & Sobrino, J. A. (2013). Satellite-derived land surface temperature: Current status and perspectives. Remote sensing of environment, 131, 14–37.
Lin, W., Yu, T., Chang, X., Wu, W., & Zhang, Y. (2015). Calculating cooling extents of green parks using remote sensing: Method and test. Landscape and Urban Planning, 134, 66–75.
Liu, L., & Zhang, Y. (2011). Urban heat island analysis using the landsat TM data and ASTER Data: A case study in Hong Kong. Remote Sensing, 3(7), 1535–1552. https://doi.org/10.3390/rs3071535
Lobell, D. B., & Gourdji, S. M. (2012). The influence of climate change on global crop productivity. Plant Physiology, 160, 1686–1697.
Maimaitiyiming, M., Ghulam, A., Tiyip, T., Pla, F., Latorre-Carmona, P., Halik, Ü., & Caetano, M. (2014). Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation. ISPRS Journal of Photogrammetry and Remote Sensing, 89, 59–66. https://doi.org/10.1016/j.isprsjprs.2013.12.010
Makhelouf, A. (2009). The effect of green spaces on urban climate and pollution. Iran Journal Environment Health Science Engineering, 6(1), 35–40.
Memon, R. A., Leung, D. Y. C., & Chunho, L. I. U. (2008). A review on the generation, determination and mitigation of urban Heat Island. Journal Of Environment Science, 20, 120–128.
Mfondoum, A. H. N., Etouna, J., Nongsi, B. K., Moto, F. A. M., & Deussieu, F. N. (2016). Assessment of land degradation status and its impact in arid and semi-arid areas by correlating spectral and principal component analysis neo-bands. Cloud Publications, International Journal of Advanced Remote Sensing and GIS, 5(2), 1539–1560.
National Population Commission, NPC 2006 Report. https://en.wikipedia.org/wiki/Port_Harcourt. Retrieved 15 March 2019.
Nigerian Meteorological Agency (NiMet) Seasonal Rainfall Prediction (SRP) report (2018) (https://fscluster.org/sites/default/files/documents/overview_of_the_2018_srp_by_prof._mashi2.pdf). Retrieved 10 March 2019.
Nor, S., Buyadi, A., Mohd, W., Wan, N., & Misni, A. (2013). Green Spaces Growth Impact on the urban Microclimate. Procedia - Social and Behavioral Sciences, 105, 547–557. https://doi.org/10.1016/j.sbspro.2013.11.058.
Nowak, D. J., & Dwyer, J. F. (2007). Understanding the benefits and costs of urban forest ecosystems. In J. E. Kuser (Ed.), Urban and community forestry in the Northeast (pp. 25–46). Dordrecht: Springer. https://doi.org/10.1007/978-1-4020-4289-8_2.
Nwaerema, P., Vincent, O., Amadou, C., & Morrison, A. (2019). Spatial assessment of land surface temperature and emissivity in the tropical littoral City of Port Harcourt, Nigeria. International Journal of Environment and Climate Change, 9(2), 88–103. https://doi.org/10.9734/ijecc/2019/v9i230099
Peng, J., Xie, P., Liu, Y., & Ma, J. (2016). Remote sensing of environment urban thermal environment dynamics and associated landscape pattern factors : A case study in the Beijing metropolitan region. Remote Sensing of Environment, 173, 145–155. https://doi.org/10.1016/j.rse.2015.11.027
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F.-M., et al. (2011). Surface urban heat island across 419 global big cities. Environmental Science and Technology, 2011(46), 696–703.
Qin, Z.-H., Karnieli, A., & Berliner, P. (2001). A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22, 3719–3746.
Ren, Z., He, X., Zheng, H., Zhang, D., Yu, X., Shen, G., & Guo, R. (2013). Estimation of the relationship between urban Park characteristics and park cool Island intensity by remote sensing data and field measurement. Forests, 4, 868–886. https://doi.org/10.3390/f4040868
Rogan, J., Ziemer, M., Martin, D., Ratick, S., Cuba, N., & DeLauer, V. (2013). The impact of tree cover loss on land surface temperature: A case study of central massachusetts using landsat thematic mapper thermal data. Applied Geography, 45, 49–57. https://doi.org/10.1016/j.apgeog.2013.07.004
Rouse, J.W.; Haas, R.H.; Schell, J.R.; Deering, D.W. (1974). Monitoring vegetation systems in the Great Plains with ETRS. Third Earth Resources Technology Satellite-1 Symposium- Volume I: Technical Presentations; NASA SP-351; NASA: Washington, DC, USA; p. 309.
Saini, V., Arora, M. K., & Gupta, R. P. (2016, May). Relationship between surface temperature and SAVI using Landsat data in a coal mining area in India. In Land Surface and Cryosphere Remote Sensing III (Vol. 9877, p. 987711). International Society for Optics and Photonics.
Sarrat, C., Lemonsu, A., Masson, V., & Guedalia, D. (2006). Impact of urban heat island on regional atmospheric pollution. Atmospheric Environment, 40, 1743–1758.
Schwarz, N., Schlink, U., Franck, U., & Grobmann, K. (2012). Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators an application for the city of Leipzig. Ecological Indicators, 18, 693–704.
Shah, M. D., & Haq, A. (2011). Urban green spaces and an integrative approach to sustainable environment. Journal of Environmental Protection, 2, 601–608. https://doi.org/10.4236/jep.2011.25069
Shashua-Bar, L., Tsiros, I. X., & Hoffman, M. E. (2010). A modeling study for evaluating passive cooling scenarios in urban streets with trees. Case study: Athens, Greece. Building and Environment, 45(12), 2798–2807.
Shi, Y., & Zhang, Y. (2018). Remote sensing retrieval of urban land surface temperature in hot-humid region. Urban climate, 24, 299–310.
Skelhorn, C., Lindley, S., & Levermore, G. (2014). Landscape and urban planning the impact of vegetation types on air and surface temperatures in a temperate city: A fine scale assessment in Manchester, UK. Landscape and Urban Planning, 121, 129–140. https://doi.org/10.1016/j.landurbplan.2013.09.012
Sobrino, J., Jiménez-Muñoz, J., & Paolini, L. (2004). Land surface temperature retrieval from Landsat TM 5. Remote Sensing of Environment, 90, 434–440.
Solecki, W. D., Rosenzweig, C., Parshall, L., Pope, G., Clark, M., Cox, J., & Wiencke, M. (2005). Mitigation of the heat island effect in urban New Jersey. Global Environment Change B Environment Hazards, 6, 39–49.
Srivanit, M., & Hokao, K. (2013). Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer. Building and Environment, 66, 158–172.
Sun, Q., Wu, Z., & Tan, J. (2012). The relationship between land surface temperature and land use/land cover in Guangzhou. China. https://doi.org/10.1007/s12665-011-1145-2
Sun, R., & Chen, L. (2017). Effects of green space dynamics on urban heat islands: Mitigation and diversification. Ecosystem Services, 23(2017), 38–46. https://doi.org/10.1016/j.ecoser.2016.11.011
Sun, S., Xu, X., Lao, Z., Liu, W., Li, Z., García, E. H., & Zhu, J. (2017). Evaluating the impact of urban green space and landscape design parameters on thermal comfort in hot summer by numerical simulation. Building and Environment, 123, 277–288. https://doi.org/10.1016/j.buildenv.2017.07.010
Taha, H. (1997). Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat. Energy and Buildings, 25, 99–103.
Tran, H., Uchihama, D., Ochi, S., & Yasuoka, Y. (2006). Assessment with satellite data of the urban heat island effects in Asian mega cities. International Journal of Applied Earth Observation and Geoinformation, 8, 34–48.
Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127–150.
Unger, J. (2004). Intra-urban relationship between surface geometry and urban heat island: Review and new approach. Climate Research, 27, 253–264.
Vidrih, B., & Medved, S. (2013). Multi parametric model of urban park cooling island. Urban Forestry & Urban Greening, 12, 220–229. https://doi.org/10.1016/j.ufug.2013.01.002
Voogt, J. A., & Oke, T. (1998). Effects of urban surface geometry on remotely-sensed surface temperature. International Journal of Remote Sensing, 19, 895–920.
Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86, 370–384.
Wang, X., Cheng, H., Xi, J., Yang, G., & Zhao, Y. (2018). Relationship between park composition, vegetation characteristics and cool island effect. Sustainability, 10(3), 587. https://doi.org/10.3390/su10030587
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, 335–344.
Weng, Q., & Yang, S. (2006). Urban air pollution patterns, land use, and thermal landscape: An examination of the linkage using GIS. Environmental Monitoring and Assessment, 117, 463–489.
Wu, C. D., Lung, S. C. C., & Jan, J. F. (2013). Development of a 3-D urbanization index using digital terrain models for surface urban heat island effects. ISPRS Journal of Photogrammetry and Remote Sensing, 81, 1–11.
Xu, X., Cai, H., Qiao, Z., Wang, L., Jin, C., & Ge, Y. (2017). Impacts of park landscape structure on thermal environment using QuickBird and Landsat images. Chinese Geographical Science, 27(5), 818–826. https://doi.org/10.1007/s11769-017-0910-x
Yang, C., He, X., Wang, R., Yan, F., Yu, L., & Bu, K. (2017). The effect of urban green spaces on the urban thermal environment and its seasonal variations. Forests, 8(5), 153.
Yang, C., He, X., Yu, L., Yang, J., Yan, F., Bu, K., & Zhang, S. (2017). The cooling effect of Urban parks and its monthly variations in a snow climate City. Remote Sensing, 9(10), 1066.
Yu, C., & Hien, W. N. (2006). Thermal benefits of city parks. Energy and Buildings, 38(2), 105–120. https://doi.org/10.1016/j.enbuild.2005.04.003
Yue, W., Xu, J., Tan, W., & Xu, L. (2007). The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing, 28(15), 3205–3226. https://doi.org/10.1080/01431160500306906
Zhang, J., Gou, Z., & Shutter, L. (2019). Effects of internal and external planning factors on park cooling intensity: Field measurement of urban parks in Gold Coast. Australia, 6, 417–434. https://doi.org/10.3934/environsci.2019.6.417
Zhang, X., Zhong, T., Feng, X., & Wang, K. (2009). Estimation of the relationship between forest patches and urban land surface temperature with remote sensing. International Journal of Remote Sensing, 30, 2105–2118.
Acknowledgements
The authors wish to acknowledge the United States Geological Survey (USGS) server (https://earthexplorer.usgs.gov/) for the provision of data used for this study.
Funding
This study was funded by all the authors.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no Conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ekwe, M.C., Adamu, F., Gana, J. et al. The effect of green spaces on the urban thermal environment during a hot-dry season: a case study of Port Harcourt, Nigeria. Environ Dev Sustain 23, 10056–10079 (2021). https://doi.org/10.1007/s10668-020-01046-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10668-020-01046-9


