ArticleScientific reports2025
Geospatial analysis of vegetation and land surface temperature for urban heat island mitigation in Hawassa City, Ethiopia.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Spatial prioritization of vegetation-based climate adaptation pathways in tropical megacity Jakarta, Indonesia.Scientific reports · 2026Article
- Modeling evapotranspiration in diverse climatic zones of Pakistan using Surface Energy Balance Algorithm for Land (SEBAL) through geospatial technologies.Scientific reports · 2026Article
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Abstract
Land Surface Temperature (LST) has emerged as a critical environmental parameter globally due to its profound impact on urban microclimates. To mitigate urban heat islands, it is crucial to use advanced geospatial techniques to map and analyze vegetation and land surface temperature for informed urban planning decisions. The main objective of this study was to examine the relationship between land surface temperature (LST) and vegetation cover in Hawassa City, employing GIS and remote sensing techniques to inform strategies for mitigating the urban heat island effect. Three different satellite datasets of Landsat 5 TM (1991), Landsat 7 ETM + (2005), and Landsat 8 OLI (2021) were employed. LST were computed from these thermal bands of datasets using mono-window algorithms. Regression and correlation analyses were conducted among LST, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-up Index (NDBI). The results of the land cover change analysis indicate that between 1991 and 2021, dense and sparse vegetation cover declined by 1.6% and 19.3%, respectively, while built-up areas increased substantially by 23.2%. This reflects rapid urban expansion at the expense of vegetated areas. A consistent decline in urban vegetation relative to built-up areas over the three decades, contributing significantly to the increase in LST. Furthermore, the analysis revealed a negative correlation between Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI), and a positive correlation with the Normalized Difference Built-up Index (NDBI), indicating that NDBI is a more effective predictor of LST than NDVI. Increasing urban green spaces and water bodies was shown to effectively reduce temperatures, with water bodies contributing to a decrease in maximum temperatures by 2.1 °C in 1991, 1.2 °C in 2005, and 0.5 °C in 2021. Therefore, expanding urban green infrastructure and rehabilitating vacant lands are vital strategies for mitigating urban heat island effects and promoting sustainable, climate-resilient development in Hawassa City.
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