Comparative Analysis on Three Land Surface Temperature Inversion Algorithm based on Landsat 8 Data over Sanheba Basin

The Land Surface Temperature (LST) of TIRS10 / Landsat 8 remote sensing data is studied and analyzed by combining the data and related parameters of Sanheba basin，and the LST inversion algorithm are used the Radiative Transfer Equation Method (RTE)，Mono|Window algorithm (MW) and Single|Channel Method (SC).The parameters of the MW algorithm are corrected.The LST gray scale and density segmentation graphs，the histogram of LST and the cross validation flank are used to compare the results of the LST inversion algorithm.The results show that the three kinds of algorithms are similar to the linear fitting degree of LST，and the spatial distribution is consistent.The RTE and SC algorithm are close to each other，the average error of algorithm is 0~0.05 K.the LST of MW algorithm is higher than that of the other two algorithms，the average error of algorithm is 0~1.27 K.The LST of different land cover types in this basin is compared，and the inversion results can effectively reflect the details of the surface thermal field structure according to the different land cover types.The LST values obtained by these three algorithms are compared with the MODIS LST product values.The results show that there is a significant correlation between the LST values and the MODIS LST products.In this paper，3 kinds of the LST inversion algorithms are analyzed detailed accurate on TIRS10/Landsat 8 remote sensing data，provide a reference for other thermal infrared satellite data inversion LST algorithm，but also for the subsequent LST improve the accuracy of inversion basis.