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In this study, Landsat TM and ETM+ images in 2000 and 2008 were selected to study the spatial and temporal dynamics of thermal environment in Guangzhou at a sub-pixel level. The Linear spectral mixture model (LSMM) was used to derive vegetation fraction images. Then trajectory analysis was performed in the vegetation-LST space, to evaluate the impact of urbanization on the surface thermal environment...
In this study, Landsat TM and ETM+ images in 2000 and 2008 were selected to to explore the relationship between land surface temperature and land use pattern in Guangzhou, and to investigate the impact of land use changes on the urban heat island effect. First, the mono-window algorithm was utilized to retrieve land surface temperature from thermal band of Landsat TM/ETM+ image. The mean-standard...
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