Comparison of LST retrieval algorithms between single-channel and split-windows for high-resolution infrared camera
This paper compared the LST retrieval algorithm between single-channel and split-window for high-resolution thermal infrared camera. MODTRAN was used to ascertain the atmospheric coefficients of the generalized split-window algorithm and JM&S single-channel algorithm based on TIGR database. Algorithm fitting precision analysis and the sensitivity analysis of the two algorithms were carried out. The total errors of land surface temperature were estimated by means of evaluating the influence of several parameters: atmospheric water vapor, land surface emissivity and noise of the sensor. The results showed that the uncertainties of several parameters above would increase the total errors. In low atmospheric water vapor, the accuracy of the single-channel algorithm is about 1K, equal to the accuracy of the split-window algorithm. In high atmospheric water vapor, the accuracy of the single-channel algorithm increase to about 2K and that of the split-window algorithm was invariant.