Hourly soil moisture dataset observed by eco-hydrological sensor network in the upper reaches of Heihe River (2013-2017)


Soil moisture is one of the core variables in the water cycle. Although its variation is very small, for a precipitation process, soil moisture directly determines the transformation of precipitation into evaporation, runoff and groundwater, which is very important to finely simulate spatial-temporal dynamics of various variables in hydrological process and to accurately estimate water inflow in the upper reaches of Heihe River. This dataset includes soil moisture and temperature data observed by 40 nodes from July 2013 to December 2017. Each node in Babao River Basin has soil moisture observation at depth of 4cm and 20cm; some nodes also include observations at depth of 10 cm. The data observation frequency is 1 hour. The dataset can provide ground -based observations for hydrological simulation, data assimilation and remote sensing verification.


Data file naming and use method

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).


Required Data Citation View Data Cite Help About Data Citation
Cite as:

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.


Support Program

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)

User Limit

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 (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 101.16 West: 100.10
South: 37.72 North: 38.32
Detail
  • Temporal resolution: Hourly
  • Spatial resolution: <= 1 m
  • File size: 46 MB
  • Browse count: 1,012 Times
  • Apply count: 15 Times
  • Share mode: online
  • Temporal coverage: 2013-07-01 To 2017-12-31
  • Updated time: 2021-01-13
Contact Information
: JIN Rui   KANG Jian  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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