The land surface temperature(LST) of the study area of the Yellow River Delta are retrieved from Landsat7 ETM+ images using three different methods(thermal radiance transfer equation,the mono-window algorithm by Qin et al in 2001,and the generalized single-channel method by Jimёnez-Muoz & Sobrino in 2003),and the mean accuracy of retrieval results also disscussed.The retrieval results show that the mono-window algorithm and the single-channel method both have a higher accuracy within 1 K deviation when the integrated water vapor in the atmosphere is low;While the water vapor of air is high and the LST is retrieved with the water vapor estimated by the ground-base weather data,the error is about 0.95 K for the mono-window algorithm in contrast to 1.94 K for the single-channel method.Meanwhile,the Normalized Difference Vegetation Index(I_NDV) is corrected by 6S mode,and then,differences in LST and I_NDV for different land use types and their quantitative relations are analyzed.The result of regressive analysis shows a significant negative correlation relationship between LST and I_NDV for all land use types,and the negative correlation holds for each land type,but with different correlation coefficients.