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Impacts of the spatial configuration of built-up areas and urban vegetation on land surface temperature using spectral and local spatial autocorrelation indices

Impacts of the spatial configuration of built-up areas and urban vegetation on land surface temperature using spectral and local spatial autocorrelation indices

Understanding how the spatial configuration of land cover patterns of built-up areas and urban vegetation affect urban surface temperatures is crucial for improving the sustainability of cities as well as optimizing urban design and landscape planning. Because of their capability to detect distinct...

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Bibliographic Details
Main Authors: Pedzisai Kowe, Data Science and Spatial Analytics Lab PhD (GIScience and Remote Sensing), Terence Darlington Mushore, Amos Ncube, Tatenda Nyenda, Godfrey Mutowo, Tsikai Solomon Chinembiri, Mamadou Traore, Gökhan Kizilirmak
Format: research article
Language:English
Published: Taylor and Francis Online 2022
Subjects:
spatial configuration
urban vegetation
land surface temperature (LST)
Normalized Difference Vegetation Index (NDVI)
Normalized Difference Built-Up Index (NDBI)
Online Access:https://cris.library.msu.ac.zw//handle/11408/5321
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https://cris.library.msu.ac.zw//handle/11408/5321