Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-97-2026
https://doi.org/10.5194/essd-18-97-2026
Data description paper
 | 
06 Jan 2026
Data description paper |  | 06 Jan 2026

Spatially adaptive estimation of multi-layer soil temperature at a daily time-step across China during 2010–2020

Xuetong Wang, Liang He, Peng Li, Jiageng Ma, Yu Shi, Qi Tian, Gang Zhao, Jianqiang He, Hao Feng, Hao Shi, and Qiang Yu

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Short summary

This study integrates ground observations, satellite remote sensing, and reanalysis data, applying machine learning techniques to generate a high-resolution, daily multi-layer soil temperature dataset in China  from 2010 to 2020. The dataset accurately captures the spatiotemporal variations in soil temperature at multiple depths, offering valuable scientific insights for agricultural management and ecological research.

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