| Based on Landsat ETM+ image data in Jinghe watershed oasis, both methods of mono-window algorithm and single-channel algorithm were adopted to retrieve land surface temperature (LST) in the study area, and the comparison between the retrieved results and MODIS temperature products (MODIS LST) was made. The results showed: (1) The retrieved results from these two algorithms were similar each other in overall trend, and the mean temperature difference of the whole study area was about 2k. (2) The retrieval accuracy could be improved effectively by using modified soil-adjusted vegetation index (MSAVI) instead of normalized differential vegetation index (NDVI) to compute land surface emissivity, and the retrieval accuracy of single-window algorithm was higher than that of single-channel algorithm. The correlation coefficients between the retrieved data of these two algorithms and MODIS LST were 0.925 and 0.8651, respectively. (3) In the urban areas, the correlation coefficient between the retrieved data of single-channel algorithm and MSAVI was 0.8136, being higher than that of mono-window algorithm. Therefore, the method of single-channel algorithm was more suitable for the retrieval research of LST in urban areas in large scale. |