Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023

Climate, Journal Year: 2025, Volume and Issue: 13(4), P. 68 - 68

Published: March 26, 2025

Rapid urbanization and climate impacts have raised concerns about the emergence aggravation of urban heat island effects. In Africa, studies focused more on big cities due to their growing populations high impact, while mid-sized remain under-studied, with limited comparative insights into distinct characteristics. This study therefore provided a spatiotemporal analysis land use cover change (LULCC) surface islands (SUHI) effects in Nigerian Akure Osogbo from 2014 2023. used Landsat 8 9 imagery (2014 2023) analyzed data via Google Earth Engine ArcGIS Pro 3.4. Results showed that Akure’s built areas increased significantly 164.026 km2 224.191 witnessed smaller expansion 41.808 58.315 areas. identified Normalized Difference Vegetation Index (NDVI) emissivity patterns associated vegetation thermal emissions positive association between LST urbanization. The findings across established LULCC has different SUHI As result, evidence city might not be extended other similar size socioeconomic characteristics without caution.

Language: Английский

Estimating Surface Urban Heat Island Effects of Abeokuta Within the Context of Its Economic Development Cluster in Ogun State Nigeria: A Baseline Study Utilising Remote Sensing and Cloud-Based Computing Technologies

Climate, Journal Year: 2024, Volume and Issue: 12(12), P. 198 - 198

Published: Nov. 26, 2024

The demands for growth and prosperity in developing countries have prompted Ogun State to initiate six economic development clusters oriented around its urban areas. However, little attention has been given the environmental impact of these relation temperature change thermal consequences. Serving as a baseline study Abeokuta Cluster, whose implementation is still ongoing, this analysed surface heat island (SUHI) effects 2003, 2013, 2023 determine whether variations exist over time. utilised satellite imagery from Landsat sensors cloud computing power Google Earth Engine data collection analysis. Findings revealed that City experienced varying degrees high SUHI effects, while surrounding areas proposed residential industrial Cluster showed low effects. differences within across years were found be statistically significant (Fwithin = 3.158, p 0.044; Fbetween 5.065, 0.025), though was not case cluster whole. This recommends planning strategies policy interventions combat City, along with precautionary measures Cluster.

Language: Английский