Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa

Urbanisation is accelerating urban land use dynamics and this has a significant impact on surface temperature (LST). Impervious surfaces increase in air pollution led to the temperature. This study reports of geospatial technologies monitor quantify changes LST using remotely sensed data City Tshwane. Land was retrieved winter summer Landsat datasets for 1997 2015 MODIS from 2000 2015. extracted emissivity satellite as input parameters. The spatial temporal variations were show effects cover change LST. Change also analysed different types transects across area. revealed an between years. It showed that impervious had higher compared non-impervious surfaces. results non-cropped cropped agricultural areas, where former than latter. Temporal trends notable areas there some seasonal with high values low winter. Cross-section analysis along spatio-temporal thermal types.