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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
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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          | 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: | |
| Online Access: | https://cris.library.msu.ac.zw//handle/11408/5321 | 
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