Articles | Volume 30, issue 13
https://doi.org/10.5194/hess-30-4191-2026
https://doi.org/10.5194/hess-30-4191-2026
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

Filling data gaps in soil moisture monitoring networks via integrating spatio-temporal contextual information

Weixuan Wang, Yizhuo Meng, Zushuai Wei, Linguang Miao, Hui Wang, and Wen Zhang

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Latest update: 09 Oct 2026
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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.
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