Advanced Microwave Scanning Radiometer 2 (AMSR2) brightness temperature (TB) observations have long been utilized for snow depth (SD) estimation. However, the traditional approaches which are based on ‘point-to-point’ predictions ignore spatial heterogeneity within a AMSR2 pixel and limited by coarse resolution of sensor. To solve these problems, novel deep ‘area-to-point’ SD estimation model, ...

Surface longwave radiation (SLR) is an essential geophysical parameter of Earth’s energy balance, and its estimation based on thermal infrared (TIR) remote sensing data has been extensively studied. However, it difficult to estimate cloudy SLR from TIR measurements. Satellite passive microwave (PMW) radiometers measure under the clouds therefore can in all weather conditions. We constructed ret...

Sea SurfaceTemperature (SST) is a critical parameter for monitoring the marine environment and understanding various ocean phenomena. While SST can be regularly retrieved from satellite data, it often suffers missing data due to reasons including cloud contamination. In this study, we proposed novel two-step fusion framework generating high-resolution seamless daily multi-satellite sources. The...

Multiple soil moisture products have been generated from data acquired by satellite. However, these satellite soil moisture products are not spatially or temporally complete, primarily due to track changes, radio-frequency interference, dense vegetation, and frozen soil. These deficiencies limit the application of soil moisture in land surface process simulation, climatic modeling, and global c...