By: Alegbeleye O. M.; Akintunde-Alo A. D.;
Abstract:
The Nexus between the Urban Green Space (UGS) and Land Surface Temperature (LST) helps to formulate
policy for sustainable management of UGS where there is an urban sprawl like Ado Ekiti. However, there is a
dearth of information on UGS and LST in Ado-Ekiti. Therefore, this study adopted remote sensing and
geographic information system techniques to determine the dynamics and nexus between UGS and LST as well
as investigating the perceived factors responsible for the UGS changes in Ado-Ekiti metropolis, Nigeria with a
view to providing relevant information for sustainable management of the UGS and mitigating the Urban Heat
Island. Landsat imageries of 1987 (TM), 1998 (ETM) and 2019 (OLI) were obtained. Map of Ado-Ekiti was
georeferenced and digitized to obtain its shapefile. The maximum likelihood algorithm of supervised
classification in ArcGIS was used to classify Landsat imageries. The shapefile was superimposed on the
classified imageries and clipped for the determination of land use land cover sizes. The LST was extracted from
the imageries by converting the digital numbers to the surface temperature. Correlation analysis was used to
determine the nexus between the UGS and LST. Four land use land cover: green spaces, built-up area, water
bodies and bare land, were identified in the Ado-Ekiti metropolis. The UGS decreased from 74.4% in 1987 to
38.7% in 2019. Similarly, water bodies reduced from 0.9% in 1987 to 0.1% in 2019 respectively. However,
built-up area and bare land increased from 21.9% and 2.9% in 1987 to 51.1% and 10.5% in 2019 respectively.
The LST in Ado-Ekiti metropolis increased from 22.1°C in 1987 to 30.5 °C in 2019 respectively. The Built-up
area and bare land had the highest LST values compared with UGS and water body in all the years. The
relationship between the UGS dynamics and LST was negatively correlated with r2 ranging from -0.51 to -0.83.
By the year 2049, the vegetation would have reduced to 36.0% while built-up and bare land would have
increased to 52.4%. on the other hand, water with no significant change.
Keywords: Land use land cover change; urban green space change; geographic information system; land surface temperature; Spatio-tempora
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