Split-window algorithm is a major solution to retrieve land-surface temperature from thermal infrared remote sensing data. In this paper

two images (daytime and night ) of NOAA/AVHRR are acquired at Badanjilin desert site on August 22 1997. After the atmospheric correction for the two images is performed by LOWTRAN 7 code

emissivity of certain confidence is estimated by using emissivity inversion algorithm of Li&Becker(1993). On the basis of the same emissivity knowledge

land-surface temperature is retrieved by using five typical split-window algorithms respectively. The temperature of each algorithm is comparedwith that of algorithm of Sobrino(1991)

it turnes out that they are comparable and reliable.