Abstract
neighbouring countryside. In this study, UHI intensity is assessed using Landsat 8 data in Dar es Salaam, Tanzania. An ERDAS Imagine algorithm is used to acquire the land surface temperature (LST) from Landsat 8 data. The association of LST and normalized difference vegetation index (NDVI) as well as the normalized difference build-up index (NDBI) is also assessed. The outcome of the study shows that the influence of UHI in Dar es Salaam is situated mainly in built-up areas compared to the surrounding rural areas. The negative association of LST and NDVI shows that greenery can reduce the development of a UHI, while the positive association of LST and NDBI indicate that built-up areas can enhance the formation of UHI.
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