Validation of Lunar Surface Emissivity Retrieval from Diviner Image Using Apollo Samples Spectra Data

The Diviner sensor provides global lunar surface observation at total nine channels from solar reflective wavelength (0.35-2.8 μm) to thermal infrared wavelength (7.55–400 μm Using the three 8-μm thermal channels (7.55–8.05, 8.10–8.40, and 8.38–8.68 μm), the lunar surface temperature and emissivity can be retrieved using physical temperature-emissivity separation (TES) algorithm and the Empirical regression (ER) algorithm. However, up to now there is no report about the ground validation of the accuracy about the retrieval results. This paper performs the ground validation on the lunar surface emissivity using the samples spectra collected by Apollo missions from 14 to 17, and results showed that the emissivity RMSEs of the three channels of the TES algorithm are respectively 0.025, 0.030 and 0.021 with the total RMSE of 0.026, while those of the ER algorithm are respectively 0.043, 0.038, and 0.030 with the total RMSE of 0.038. The TES algorithm got a better accuracy than the ER algorithm.