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

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dc.contributor.authorDube, Timothy
dc.contributor.authorKowe, Pedzisai
dc.contributor.authorMushore, Terence Darlington
dc.contributor.authorNcube, Amos
dc.date.accessioned2023-06-19T08:46:07Z
dc.date.available2023-06-19T08:46:07Z
dc.date.issued2022
dc.description.abstractUnderstanding 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 surface thermal features, satellite data have proved useful in exploring the impacts of spatial configuration of land cover on land surface temperature (LST). In this study, we examine how the spatial configuration of built-up and urban vegetation affects the LST in the Harare metropolitan city, Zimbabwe. In order to achieve this objective, we combined the LST, local spatial statistics of Getis-Ord Gi* and local Moran’s I statistic, Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-Up Index (NDBI) derived from multi-date Landsat satellite data (1994, 2001 and 2017)en_US
dc.identifier.citationKowe, P., Dube, T., Mushore, T.D., Ncube, A., Nyenda, T., Mutowo, G., Chinembiri, T.S., Traore, M. and Kizilirmak, G., 2022. Impacts of the spatial configuration of built-up areas and urban vegetation on land surface temperature using spectral and local spatial autocorrelation indices. Remote Sensing Letters, 13(12), pp.1222-1235.en_US
dc.identifier.urihttps://doi.org/10.1080/2150704X.2022.2142073
dc.identifier.urihttp://hdl.handle.net/10566/9108
dc.language.isoenen_US
dc.publisherRemote Sensing Lettersen_US
dc.subjectSpatial configurationen_US
dc.subjectLand surface temperature (LST)en_US
dc.subjectUrban vegetationen_US
dc.subjectZimbabween_US
dc.subjectGetis-Ord G Statisticsen_US
dc.titleImpacts of the spatial configuration of built-up areas and urban vegetation on land surface temperature using spectral and local spatial autocorrelation indicesen_US
dc.typeArticleen_US

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