HiWATER: SoilNET observation dataset in the midstream of the Heihe River Basin- A Big Earth Data Platform for Three Poles

This dataset include soil moisture and soil temperature observations of 50 SoilNET Nodes during June 2012~March 2013 (UTC+8), which located in a MODIS pixel in the observation matrix of the HiWATER artificial oasis eco-hydrology experimental area, and aim to capture the spatial-temporal variance at the ~100 m scale. Each SoilNET node observe the soil moisture and soil temperature at 4 cm, 10 cm, 20 cm and 40 cm depth using the SPADE sensor with 10 minutes interval. This dataset can be used in the estimation of surface hydrothermal variables and their validation, eco-hydrological research, irrigation management and so on.

The detail description please refers to "SoilNET_data_document.docx".

Data Citations Data citation guideline What's data citation?

Cite as:

Li, D., Dong, C., Li, X., Ma, M. (2014). HiWATER: SoilNET observation dataset in the midstream of the Heihe River Basin. A Big Earth Data Platform for Three Poles, DOI: 10.3972/hiwater.120.2013.db. CSTR: 18406.11.hiwater.120.2013.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Rui Jin, Xin Li, Baoping Yan, Xiuhong Li, Wanmin Luo, Minguo Ma, Jianwen Guo, Jian Kang, Zhongli Zhu. 2014. A Nested Eco-hydrological Wireless Sensor Network for Capturing Surface Heterogeneity in the Middle-reach of Heihe River Basin, China. IEEE Geoscience and Remote Sensing Letters, 11(11): 2015-2019, DOI:10.1109/LGRS.2014.2319085( View Details | Download | Bibtex)

2. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.( View Details | Download | Bibtex)

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

References literature

1.Dazhi Li, Rui Jin, Jian Zhou. Analysis and Reduction of the Uncertainties in Soil Moisture Estimation with the L-MEB Model Using EFAST and Ensemble Retrieval. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6): 1337-1341, doi: 10.1109/LGRS.2015.2399776. (View Details | Download )

2.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 )

3.Jian Kang, Rui Jin, Xin Li. Regression kriging-based upscaling of soil moisture measurements from a wireless sensor network and multi-resource remote sensing information over heterogeneous cropland. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 92-96, doi:10.1109/LGRS.2014.2326775. (View Details | Download )

4.Li X, Liu SM, Ma MG, Xiao Q, Liu QH, Jin R, Che T, Wang WZ, Q R, Li HY, Zhu GF, Guo JW, Ran RH, Wen JG, Wang SG. HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin. Advances in Earth Science, 2012, 27(5): 481-498. (View Details | Download )

5.Li Xin, Liu Shaomin, Ma Mingguo, Xiao Qing, Liu Qinhuo, Jin Rui, Che Tao. HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin. Advances in Earth Science, 2012, 27(5): 481-498. (View Details | Download )

6.Gao, S.G., Zhu, Z.L., Liu, S.M., Jin, R., Yang, G.C., Tan, L. (2014). Estimating spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing. International Journal of Applied Earth Observation and Geoinformation, 32, 54-66. doi:10.1016/j.jag.2014.03.003. (View Details )

7.Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bulletin of the American Meteorological Society, 2013, 94(8): 1145-1160, 10.1175/BAMS-D-12-00154.1. (View Details )

Support Program

National High-tech R&D Program of China (863 Program) (No:2012AA12A305)

Heihe Watershed Allied Telemetry Experimental Research (HiWATER) (No:91125004)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services 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.

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