In-situ measurement data set (2018) of the soil moisture and temperature wireless sensor network within the Shandian River Basin
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).
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. https://doi.org/10.1016/j.rse.2022.112891.( 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. https://doi.org/10.1016/j.rse.2020.111680.( View Details | Download | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Satellite observation and simulation studies of the land surface water and energy exchange processes and its effects on global changes (No:2015CB953700)
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