Abstract
An algorithm to retrieve Land Surface Temperature (LST) by GMS 5/VISSR thermal infrared data is developed in this paper, which is called the single time/dual channels split window algorithm. It adopts the spatial-temporal threshold criterion for cloud detection. Real-time radiosonde data are used to derive the atmospheric upward and downward radiation. The surface emissivity is derived from AVHRR-NDVI. Thus, LST in two thermal infrared channels is retrieved from the RTE (Radiation Transfer Equation). Compared with in-situ observations of surface temperature (0 centimeter) at station No. 54511 and other 43 stations in China in 2000, LSTs retrieved by the present algorithm are more accurate than other similar algorithms. Sensitivity analysis is made mainly considering of the effect from atmospheric attenuation. Based on this algorithm, diurnal cycle of LST in 4 continuous days in the middle eastern of Inner Mongolia and the spatial distribution of yearly average LST for pure clear days in East Asia are also shown.
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