This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Short summary
Soil moisture data is vital for climate studies and agriculture, but sensors often have gaps that disrupt data continuity. To address this, we developed ST-GapFill, a new framework that uses information from nearby stations and a special tool to fill in missing data. By selecting the best neighboring stations and capturing how soil moisture changes over time, ST-GapFill can accurately reconstruct soil moisture patterns.