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HiWATER: WATERNET soil moisture and LST observation dataset in the middle reaches of the Heihe River Basin Chinese Version

This dataset includes soil moisture, soil temperature and land surface temperature observations of 50 WATERNET wireless sensor network (WSN) nodes during the period from May to September 2012, which is one type of WSN nodes in the Heihe eco-hydrological wireless sensor network (WSN). The WATERNET located in the 4×4 MODIS grids in the observation matrix in the Zhangye oasis. Each WATERNET node observes the soil moisture, soil temperature, soil conductivity and complex dielectric constant at 4 cm and 10 cm depths by the Hydra Probe II sensor. There are 29 nodes among the WATERNET with the SI-111 sensor at 4 m height to measure the surface radiance temperature. The operational observation interval is 10 minutes, and the intensive observation mode with 1 minute is activated during 00:00-04:30, 08:00-18:00 and 21:00-24:00 (UTC+8), in order to synchronize with airborne or satellite-borne remote sensors. 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 "WATERNET_Data_Document_HRBMiddle.docx”.


  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.2014.2319085DetailDownload
  2. Kang, J.; Li, X.; Jin, R., et al. Hybrid optimal design of the eco-hydrological wireless sensor network in the middle reach of the Heihe River Basin, China. Sensors, 2014, 14(10): 19095-19114.DetailDownload
  3. Li X, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Wang WZ, Hu XL, Xu ZW, Wen JG, Wang LX. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 2017, 4: 170083. doi:10.1038/sdata.2017.83.DetailDownload

Related Publications (Recommended by Author)

  1. Ma Mingguo, Che Tao, Li Xin, Xiao Qing, Zhao Kai and Xin Xiaoping. A Prototype Network for Remote Sensing Validation in China. Remote Sensing, 2015, 7: 5187-5202.Detail Download
  2. 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.Detail Download
  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.Detail Download
  4. 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.Detail Download
  5. Yong Ge, Jianghao Wang, G.B.M. Heuvelink, Rui Jin, Xin Li, Jinfeng Wang. Sampling design optimization of a wireless sensor network for monitoring ecohydrological processes in the Babao River basin, China. International Journal of Geographical Information Science, 2015, 29(1):92-110, doi: 10.1080/13658816.2014.948446.Detail Download
  6. Shengguo Gao, Zhongli Zhu, Shaomin Liu, Rui Jin, Guangchao Yang, Lei Tan. Estimating the 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, 2014, 32: 54-66, doi:10.1016/j.jag.2014.03.003.Detail Download

General introduction of HiWATER

  1. 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.Detail | Download


The dataset is generated from the "Heihe Watershed Allied Telemetry Experimental Research (HiWATER)". User must have a clear statement in the article of the original data source and cite the dataset and papers in the Citation section.


Online Resources

InformationFile list

  • File Format: *.csv
  • Size: 2.67 GB
  • Downloaded: 149
  • Viewed: 13625
  • Temporal Range: 2012-05-12 to 2012-09-20

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  • Last update: 2016-04-06
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  • Versions: 4