HiWATER: WATERNET observation dataset in the middle of Heihe River Basin (2012)

HiWATER: WATERNET observation dataset in the middle of Heihe River Basin (2012)


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”.


Data Citations Data citation guideline What's data citation?
Cite as:

Dong, C., Li, X., Ma, M. (2015). HiWATER: WATERNET observation dataset in the middle of Heihe River Basin (2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/hiwater.118.2013.db. CSTR: 18406.11.hiwater.118.2013.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)

National Development and Reform Commission Project (No:Y002025412)

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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 100.41 West: 100.32
South: 38.84 North: 38.91
Details
  • File size: 1,415 MB
  • Views: 17000
  • Downloads: 147
  • Access: Open Access
  • Temporal coverage: 2012-06-06 To 2013-01-17
  • Updated time: 2021-04-19
Contacts
: KANG Jian   Wang Zuocheng   Dong Cunhui   LI Xin   MA Mingguo  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata