2023
DOI: 10.4314/tjs.v49i2.7
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Influence of Urban Land Use Land Cover Changes on Land Surface Temperature in Dar es Salaam Metropolitan City, Tanzania: The Use of Geospatial Approach

Abstract: Land use land cover (LULC) changes affect the planet's energy balance and region's climate. Land Surface Temperature (LST) is a vital indicator of this change. Studies in Dar es Salaam Metropolitan City have investigated LST and its relationships with building heights and densities, urban heat islands, spectral indices, and urban morphological determinants. The present study used cross-sectional profiles, chord diagrams, and simple linear regression models to examine the influence of LULC changes on the LST in… Show more

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Cited by 2 publications
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“…Furthermore, indicators related to urban morphology significantly influence other indicators. Metrics such as the distance between buildings, building height, number of buildings per block, and building aggregation all make significant contributions to the formation and intensification of SUHI within the urban morphology (Xi et al, 2021;Zhang et al, 2022b;Gao et al, 2022;Simon et al, 2023). These scenarios directly influence density, population, and energy consumption, leading to either an increase or decrease in the intensity of SUHIs (Su et al, 2021b).…”
Section: Interpretation Of the Map Of Indicators' Typologiesmentioning
confidence: 99%
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“…Furthermore, indicators related to urban morphology significantly influence other indicators. Metrics such as the distance between buildings, building height, number of buildings per block, and building aggregation all make significant contributions to the formation and intensification of SUHI within the urban morphology (Xi et al, 2021;Zhang et al, 2022b;Gao et al, 2022;Simon et al, 2023). These scenarios directly influence density, population, and energy consumption, leading to either an increase or decrease in the intensity of SUHIs (Su et al, 2021b).…”
Section: Interpretation Of the Map Of Indicators' Typologiesmentioning
confidence: 99%
“…These scenarios directly influence density, population, and energy consumption, leading to either an increase or decrease in the intensity of SUHIs (Su et al, 2021b). Furthermore, adjusting these indicators is expected to improve the effectiveness of urban ventilation and open spaces in mitigating the effects of SUHI (Simon et al, 2023).…”
Section: Interpretation Of the Map Of Indicators' Typologiesmentioning
confidence: 99%