Filling Then Spatio-Temporal Fusion for All-Sky MODIS Land Surface Temperature Generation

The thermal infrared band of the moderate resolution imaging spectroradiometer (MODIS) onboard Terra/Aqua satellite can provide daily, 1 km land surface temperature (LST) observations. However, due to influence cloud contamination, spatial gaps are common in LST product, restricting its application greatly at regional scale. In this article, deal with challenge large (especially complete data loss) MODIS for local monitoring, a filling then spatio-temporal fusion (FSTF) method is proposed, which utilizes another type product all-sky coverage, but coarser (i.e., 7 China Land Data Assimilation System (CLDAS) product). Due great temporal heterogeneity LST, temporally closer auxiliary images considered be preferable choices CLDAS and time-series. such always abandoned inappropriately conventional if they contain gaps. Accordingly, pregap performed FSTF make fuller use valid information close small Through evaluation both domains three regions China, was found more accurate reconstructing than original methods. FSTF, thus, has potential updating current global