In-situ measurement data set (2018) of the soil moisture and temperature wireless sensor network within the Shandian River Basin

In-situ measurement data set (2018) of the soil moisture and temperature wireless sensor network within the Shandian River Basin

This data set contains in-situ measurements of soil moisture, soil temperature and precipitation at 34 stations from a wireless Soil Moisture Network within the ShanDian River basin (referred to as the SMN-SDR hereafter). The coverage of entire network is about 10,000 km2 (115.5-116.5°E, 41.5-42.5°N). The topography of the SMN-SDR is relatively flat, and land surfaces are typically dominated by grasslands and croplands. A total of 34 stations are set up in the network with three sampling scales including 100 km (large scale), 50 km (medium scale), and 10 km (small scale). The soil moisture sensors used are Decagon 5TM with five measuring depths (3, 5, 10, 20, and 50 cm) installed for each station. Of the 34 station, there are 20 stations equipped with HOBO rain gauges. Undisturbed soil samples at each layer of soil for each station was taken to analyze the gravimetric/volumetric water content, bulk density, and soil texture for a further specific calibration. The power supply is provided by solar panels and all data can be transmitted wirelessly to a server. The sampling interval of the data recording time is 10 (before June 2019) or 15 minutes (after June 2019).

This network can improve the comprehensive observation capabilities of key water cycle parameters in the ShanDian River basin and provide long-term ground reference data for satellite- and model-based soil moisture products.

File naming and required software

File naming: The in-situ measurement data set of the SMN-SDR is stored in csv format, and the file name is: "ShandianRiver_XY_5TM/HOBO_SM/TS/PP_xxcm_YYYY-MM-DD_YYYY-MM-DD.csv".
where, X represents the sampling scales, usually “L” (100km) or “M” (50km) or “S” (10km); Y stands for site number; 5TM/HOBO stands for sensor type, for example, the sensor for soil moisture and soil temperature data is 5TM, and the sensor for precipitation observation is HOBO; SM/TS/PP represents the type of in-situ data, SM is soil moisture, TS is soil temperature, and PP is precipitation; xxcm represents the detection depth, usually "03cm", "05cm", "10cm", "20cm", "50cm". Note that when the measurement data is precipitation, xxcm does not display. YYYY-MM-DD_YYYY-MM-DD represents the start and end time of the in-situ data.
Data reading method: The data set can be directly opened with a text program (such as notepad or excel).

Data Citations Data citation guideline What's data citation?
Cite as:

Zhao, T., Ji, D., Jiang, L., Cui, Q., Chen, D., Zheng, J., Zhang, Z., Hu, L., Shi, J. (2021). In-situ measurement data set (2018) of the soil moisture and temperature wireless sensor network within the Shandian River Basin. National Tibetan Plateau Data Center, DOI: 10.11888/Soil.tpdc.271425. CSTR: 18406.11.Soil.tpdc.271425. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zheng, J.Y., Zhao, T.J., Lü, H.S., Shi, J.C., Cosh, M.H., Ji, D.B., Jiang, L.M., Cui, Q., Lu, H., Yang, K., Wigneron, J.-P., Li, X.J., Zhu, Y.H., Hu, L., Peng, Z.Q., Wang, X.Y., & Kang, C.S. (2022). Assessment of 24 soil moisture datasets using a new in-situ network in the Shandian River Basin of China. Remote Sensing of Environment, 271. View Details | Bibtex)

2. Zhao, T.J., Shi, J.C., Lv, L.Q., Xu, H.X., Chen, D.Q., Cui, Q., Jackson, T.J., Yan, G.J., Jia, L., Chen, L.F., Zhao, K., Zheng, X.M., Zhao, L.M., Zheng, C.L., Ji, D.B., Xiong, C., Wang, T.X., Li, R., Pan, J.M., Wen, J.G., Yu, C., Zheng, Y.M., Jiang, L.M., Chai, L.N., Lu, H., Yao, P.P., Ma, J.W., Lv, H.S., Wu, J.J., Zhao, W., Yang, N., Guo, P., Li, Y.X., Hu, L., Geng, D.Y., & Zhang, Z.Q. (2020). Soil moisture experiment in the Luan River supporting new satellite mission opportunities. Remote Sensing of Environment, 240. View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Satellite observation and simulation studies of the land surface water and energy exchange processes and its effects on global changes (No:2015CB953700)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (

License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 116.50 West: 115.50
South: 41.50 North: 42.50
  • Temporal resolution: Hourly
  • Spatial resolution: <= 1 m
  • File size: 172 MB
  • Views: 2,236
  • Downloads: 298
  • Access: Open Access
  • Temporal coverage: 2018-09-01 To 2018-12-31
  • Updated time: 2021-06-10
: ZHAO Tianjie   JI Dabin   JIANG Lingmei   CUI Qian   CHEN Deqinq   ZHENG Jingyao   ZHANG Ziqian   HU Lu   SHI Jiancheng  

Distributor: National Tibetan Plateau Data Center


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