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Brightness temperature (Tb), an effectively reflect the real surface temperature index, were quantitatively derived from LANDSAT TM images in Xuzhou city, China. Normalized difference vegetation index (NDVI) spatial model and normalized difference built-up index (NDBI) spatial model were also established in accordance with circular feature profiles using the technologies of RS and GIS. The results showed that: (1) there was a significantly negative correlation between NDVI and Tb, and a significantly positive correlation between NDBI and Tb, increasing of the correlation coefficient with the profile radius expanded; (2) The correlation between NDVI and Tb is greater than that between NDBI and Tb, but the contribution of Tb to NDVI is less than NDBI; and (3) The relationship between NDBI and Tb was more affected by land use structures, more complicated land use structure makes the relationship between NDBI and Tb stronger. This study effectively reveals the correlation between Tb and NDBI or NDVI in spatial distribution, and has a good application prospective in urban planning and ecological construction planning.

Simulation and Monitoring Brightness Temperature from LANDSAT TM Images in Urban Area