File name: the soil moisture data is stored in text format, and the name of the file is "WATERNET- xx.csv ” , where "xx" represents the node number, and the file contains all the observation data of the node.
Data reading mode: all the CSV files in the data set can be directly opened by text programs (such as Notepad).
JIN Rui, KANG Jian. Hourly soil moisture dataset observed by eco-hydrological sensor network in the upper reaches of Heihe River (2013-2017). National Tibetan Plateau Data Center, 2021. doi: 10.11888/Hydro.tpdc.271137. (Download the reference： RIS | Bibtex )Related Literatures:
1. Jin, R., Li, X., Yan, B., Li, X., Luo, W., Ma, M., Guo, J., Kang, J., Zhu, Z., & Zhao, S. (2014). A nested ecohydrological wireless sensor network for capturing the surface heterogeneity in the midstream areas of the heihe river basin, China. IEEE Geoscience and Remote Sensing Letters, 11(11), 2015-2019. DOI:10.1109/LGRS.2014.2319085.( View Details | Bibtex)
2. Kang, J., Jin, R., Li, X., Ma, C., Qin, J., & Zhang, Y. (2017). High spatio-temporal resolution mapping of soil moisture by integrating wireless sensor network observations and modis apparent thermal inertia in the babao river basin, China. Remote Sensing of Environment. 191, 232-245, 10.1016/j.rse.2017.01.027.( View Details | Bibtex)
3. Ge, Y., Wang, J., Heuvelink, G., Jin, R., Li, X., & Wang, J. (2015). Sampling design optimization of a wireless sensor network for monitoring ecohydrological processes in the babao river basin, China. International Journal of Geographical Information Science, 29, 92-110. DOI: 10.1080/13658816.2014.948446.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Key Theory and Methods for Validation of Land Surface Remote Sensing Products (No:41531174)
Downloading Microwave Remote Sensing Products of Soil Moisture based on Area-to-Area Regression Kriging (No:41701419)
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|East: 101.16||West: 100.10|
|South: 37.72||North: 38.32|