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Urban heat island analysis in Dar es Salaam, Tanzania

Tabaro Kabanda, Tibangayuka Kabanda

2022South African Journal of Geomatics10 citationsDOIOpen Access PDF

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.

Topics & Concepts

Normalized Difference Vegetation IndexUrban heat islandTanzaniaDar es salaamGeographyRemote sensingVegetation IndexPhysical geographyVegetation (pathology)Environmental scienceMeteorologyClimate changeGeologyEnvironmental planningPathologyOceanographyMedicineUrban Heat Island MitigationRemote Sensing and Land UseLand Use and Ecosystem Services
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