Abstract
This paper comparatively analyzed the retrieved land surface temperature (LST) with Landsat Thematic Mapper (TM) sensor and HuanJing (HJ)-1B satellite sensor images using a case study in Beijing, China. The Jmnez-Muoz & Sobrino’s (JMS (2) the retrieved LST of TM, HJ-1B and MODIS was slightly different in the same area, while the distribution and the variation trend of the retrieving LST were consistent; (3) the urban heat island effect of Beijing was particularly obvious, and the vegetation showed a cooling effect. Furthermore, the surface multiplicity type is the main factor influencing the distribution of LST in urban areas. The empirical formulas on the basis of the JM&S single-channel algorithm may need to refit in retrieving LST of HJ-1B.
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