A Two-Stage Surface Energy Balance-Guided Graph Neural Network for Reconstruction of Missing Land Surface Temperature (opens in new tab)

Land surface temperature (LST) is a key parameter in the land surface energy cycle. However, due to cloud contamination, LST products derived from thermal infrared (TIR) remote sensing exhibit significant missing areas. Although many studies have attempted to reconstruct missing areas using reanalysis data, such as the land component of the fifth generation of European ReAnalysis (ERA5 Land), existing methods neglect the temporal differences between MODIS and reanalysis data, suffering from s...