Now there are three methods for land surface temperature retrieval from single channel thermal infrared remote sensing data

that is

atmospheric correction

mono-window algorithm and single-channel algorithm.The atmospheric parameters are required while using these methods for retrieving land surface temperature.Generally

the atmospheric parameters are estimated by using the atmospheric water vapor or humidity and average air temperature above near surface（2 meters’ height）.This method can only obtain data from several points.In this paper

the distribution of atmospheric water vapor content was calculated by two channel ratio method based on MODIS near infrared data.Then

land surface temperature was retrieved by using the thermal infrared band of Landsat ETM+ and a generalized single-channel method developed by Jiménez-Muoz and Sobrino.The exploited approach was applied to Changsha and Wuhan city.The results show that the combination of multi-source remote sensing data is effective for retrieving urban land surface temperature and can yield a reasonable estimation of land surface temperature.