A Study on Simulating Directional Land Surface Emissivity Based on Kernel-Driven Models and Its Application to the Generalized Split-Window Algorithm (opens in new tab)

In radiometric measurements, the emissivity of natural objects exhibits a dependence on the viewing angle. Ignoring the angular effect of surface emissivity can increase the uncertainty of land surface temperature (LST) retrievals. To mitigate this issue, we evaluated the simulation performance of 11 parametric kernel-driven models (KDMs) and developed directional emissivity models using MYD21 and MYD03 products. Afterward, the directional and classification-based emissivities were input into...