HiWATER: SoilNET observation dataset in the midstream of the Heihe River Basin
本数据有外部相关链接，请参见“SoilNET数据文档.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), DOI:10.1109/LGRS.2014.2319085(查看)
2. Jin, R., Li, X., Yan, B.P., Li, X.H., Luo, W.M., Ma, M.G., Guo, J.W., Kang, J., Zhu, Z.L. (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(查看)
3. 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.(查看)
4. 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.(查看)
数据的引用
王旭峰, 亢健, 李大治, 王作成, 董存辉, 李新, 马明国. (2014). 黑河生态水文遥感试验：黑河流域中游生态水文无线传感器网络SoilNET观测数据集. 国家青藏高原科学数据中心, 2014. doi:
10.3972/hiwater.120.2013.db.
[Wang, X., Kang, J., Li, D., Wang, Z., Dong, C., Li, X., Ma, M. (2014). HiWATER: SoilNET observation dataset in the midstream of the Heihe River Basin. National Tibetan Plateau Data Center, 2014]
使用本数据时必须引用“文章的引用”中列出的文献，并进行数据的引用
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.( 查看 | 下载 )
2.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.( 查看 | 下载 )
3.Li, X., Cheng, G.D., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Liu, Q.H., Wang, W.Z., Qi, Y., Wen, J.G., Li, H.Y., Zhu, G.F., Guo, J.W., Ran, Y.H., Wang, S.G., Zhu, Z.L., Zhou, J., Hu, X.L., & Xu, Z.W. (2013). Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8), 1145-1160. doi:10.1175/BAMS-D-12-00154.1.( 查看 )
4.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.( 查看 | 下载 )
5.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.( 查看 | 下载 )
6.李新, 刘绍民, 马明国, 肖青, 柳钦火, 晋锐, 车涛, 王维真, 祁元, 李弘毅, 朱高峰, 郭建文, 冉有华, 闻建光, 王树果. (2012). 黑河流域生态-水文过程综合遥感观测联合试验总体设计. 地球科学进展, 27(5), 481-498. doi:10.11867/j.issn.1001-8166.2012.05.0481.( 查看 | 下载 )
7.晋锐, 李新, 阎保平, 罗万明, 李秀红, 郭建文, 马明国, 亢健, 张艳林. 黑河流域生态水文传感器网络设计. 地球科学进展, 2012, 27( 9) : 993-1005．( 查看 | 下载 )
8.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.( 查看 | 下载 )
9.Gao, S.G., Zhu, Z.L., Liu, S.M., Jin, R, Yang, G.C, Tan, L. ( 2014). 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, 32, 54-66, doi:10.1016/j.jag.2014.03.003.( 查看 )
本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。
License：
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Attribution 4.0 International (CC BY 4.0)
遥感产品真实性检验关键技术及其试验验证
黑河流域生态-水文过程综合遥感观测试验：定标与真实性检验
1. 黑河流域生态水文综合地图集：黑河流域沙漠(沙地)、冰川图
2. 黑河生态水文遥感试验：水文气象观测网数据集（裸地站自动气象站-2013）
3. 黑河生态水文遥感试验：黑河流域中游大满超级站TerraSAR-X地面同步观测数据集（2012年6月15日）
5. 黑河生态水文遥感试验：水文气象观测网数据集（景阳岭站自动气象站-2014）
7. 黑河综合遥感联合试验：冰沟流域加密观测区K&Ka波段机载微波辐射计地面同步观测数据集（2008年3月29日）
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| East: 100.41 | West: 100.32 |
|---|---|
| South: 38.84 | North: 38.91 |
数据既是体力劳动的结果，更是智力活动的结晶，因此具有知识产权。 数据共享需要保护数据的知识产权，只有这样才能保护数据生产者权益，让数据共享可持续发展。 与数据相关的核心知识产权包括署名权、发布权和再编译权，其中署名权是最基本的权利。 在学术界，传统的文献引用是体现署名权的最佳方式，已经得到科学家的普遍认同，因此可以通过数据引用来体现数据的知识产权。
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), DOI:10.1109/LGRS.2014.2319085
2. Jin, R., Li, X., Yan, B.P., Li, X.H., Luo, W.M., Ma, M.G., Guo, J.W., Kang, J., Zhu, Z.L. (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
3. 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.
4. 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.
王旭峰, 亢健, 李大治, 王作成, 董存辉, 李新, 马明国. (2014). 黑河生态水文遥感试验：黑河流域中游生态水文无线传感器网络SoilNET观测数据集. 国家青藏高原科学数据中心, 2014. doi: 10.3972/hiwater.120.2013.db.
[Wang, X., Kang, J., Li, D., Wang, Z., Dong, C., Li, X., Ma, M. (2014). HiWATER: SoilNET observation dataset in the midstream of the Heihe River Basin. National Tibetan Plateau Data Center, 2014. doi: 10.3972/hiwater.120.2013.db. ]
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