Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data

Many researchers have developed a variety of land surface temperature (LST) inversion algorithms based on satellite data. The main LST include Radiative Transfer Equation (RTE), Single Channel (SC) algorithm, Mono Window (MW) and Split (SW) algorithm. In this study, nine were designed using Landsat-8 data meteorological station to test the efficiency different in seasons locations. results show that error various will increase with rise LST. R2 each algorithm measured are all greater than 0.73°C winter about 0.5°C other seasons. By analyzing stability inside outside city, it is found city better city. For same features, 3–5°C higher addition, sensitivity parameters was also analyzed. influence atmospheric transmittance RTE, SC, MW logarithmic form. effect emissivity linear. NDVI mainly through estimation affect results. ascending radiation SC (LST4 LST5) linear RTE (LST1 LST2) logarithmic. downslope water vapor content SW (LST7) nonlinear.