Geospatial analysis of vegetation and land surface temperature for urban heat island mitigation in Hawassa City, Ethiopia

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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Publication Details

Journal
Scientific Reports
Published
2025-08-28
DOI
https://doi.org/10.1038/s41598-025-17014-0
Citations
6
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
4.79

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article

Geospatial analysis of vegetation and land surface temperature for urban heat island mitigation in Hawassa City, Ethiopia

Kenate Worku Tabor, Zenebe Reta Roba
6 citations
Scientific Reports
Urban Heat Island Mitigation
4.79
article

Geospatial analysis of vegetation and land surface temperature for urban heat island mitigation in Hawassa City, Ethiopia

Kenate Worku Tabor, Zenebe Reta Roba
article en
6 citations

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.

Scientific ReportsVol. 15(1)
Jimma University (ET), Department of Forestry (MW), Mattu University
Jimma University
Climate action
Openalex Percentile: Top 5%
Urban Heat Island Mitigation
4.79
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