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Urban thermal environment have drawn a lot of attentions all around the world. The study focused on the dynamic changes of the urban thermal environment landscape patterns in Beijing. For this study, 40 MOD11A2 scenes recorded from 2003 to 2011 have been processed firstly. Then two new methods have been applied, Landscape centroid evolution and spatial autocorrelation. Using method of maximum difference...
The driving mechanism behind the formation of urban thermal environments is the result of a combination of factors. Beijing was chosen as the study area, and the technique of principal component analysis (PCA) was used. A spatial regression method was also applied for quantitative explanation of the thermal mechanism. Multiple Landsat thematic mapper images were used to quantify potential causing...
The paper focused on spatial and temporal distribution of thermal environment by Land Surface Temperature(LST) and brightness temperature retrieved from ASTER and Landsat TM/ETM in Beijing-capital zone, and analyzing scale effect of multi-resolution LST data (LST retrieved by ASTER and MODIS LST product)with the variety of landuse and NDVI. The result showed that the UHI phenomena had increasing tendency...
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