A 1&thinsp;km daily soil moisture dataset over China using in situ measurement and machine learning

Li, Qingliang; Shi, Gaosong; Shangguan, Wei; Nourani, Vahid; Li, Jianduo; Li, Lu; Huang, Feini; Zhang, Ye; Wang, Chunyan; Wang, Dagang; Qiu, Jianxiu; Lu, Xingjie; Dai, Yongjiu

doi:https://doi.org/10.5194/essd-14-5267-2022

Articles | Volume 14, issue 12

https://doi.org/10.5194/essd-14-5267-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-5267-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 12

Data description paper

|

30 Nov 2022

Data description paper |

| 30 Nov 2022

A 1 km daily soil moisture dataset over China using in situ measurement and machine learning

Qingliang Li, Gaosong Shi, Wei Shangguan, Vahid Nourani, Jianduo Li, Lu Li, Feini Huang, Ye Zhang, Chunyan Wang, Dagang Wang, Jianxiu Qiu, Xingjie Lu, and Yongjiu Dai

Supplement

https://doi.org/10.5194/essd-14-5267-2022-supplement

Data sets

A 1-km daily soil moisture dataset over China based on in-situ measurement (2000-2020) W. Shangguan, Q. Li, and G. Shi https://doi.org/10.11888/Terre.tpdc.272415

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SMCI1.0 is a 1 km resolution dataset of daily soil moisture over China for 2000–2020 derived...