1. Liu, S.M., Li, X., Xu, Z.W., Che, T., Xiao, Q., Ma, M.G., Liu, Q.H., Jin, R., Guo, J.W., Wang, L.X., Wang, W.Z., Qi, Y., Li, H.Y., Xu, T.R., Ran, Y.H., Hu, X.L., Shi, S.J., Zhu, Z.L., Tan, J.L., Zhang, Y., & Ren, Z.G. (2018). The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China. Vadose Zone Journal, 17(1), 180072. doi:10.2136/vzj2018.04.0072.(查看)
2. Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499(查看)
3. Liu, S.M., Xu, Z.W., Wang, W.Z., Bai, J., Jia, Z., Zhu, M., & Wang, J.M. (2011). A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 15(4), 1291-1306.(查看)
数据的引用
刘绍民, 李新, 车涛, 徐自为, 张阳, 谭俊磊. (2016). 黑河生态水文遥感试验:水文气象观测网数据集(黄草沟站自动气象站-2013). 国家青藏高原科学数据中心, 2016. doi:
10.3972/hiwater.181.2014.db.
[Liu, S., Li, X., Che, T., Xu, Z., Zhang, Y., Tan, J. (2016). HiWATER: Dataset of hydrometeorological observation network (automatic weather station of Huangcaogou station, 2013). National Tibetan Plateau Data Center, 2016]
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.Qiao, C., Sun, R., Xu, Z.W., Zhang, L., Liu, L.Y., Hao, L.Y., Jiang, G.Q. (2015). A study of shelterbelt transpiration and cropland evapotranspiration in an irrigated area in the middle reaches of the Heihe River in northwestern China. IEEE Geoscience and Remote Sensing Letters, 12(2), 369-373. doi:10.1109/LGRS.2014.2342219.( 查看 )
2.Xu, Z.W., Ma, Y.F., Liu, S.M., Shi, S.J., & Wang, J.M. (2017). Assessment of the energy balance closure under advective conditions and its impact using remote sensing data. Journal of Applied Meteorology and Climatology, 56, 127-140.( 查看 )
3.Song, L.S., Kustas WP, Liu, S.M., Colaizzi PD, Nieto H, Xu, Z.W., Ma, Y.F., Li, M.S., Xu, T.R., Agam, N., Tolk, J., & Evett, S. (2016). Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions. Journal of Hydrology, doi:10.1016/j.jhydrol.2016.06.034.( 查看 )
4.Zhu, Z.L., Tan, L., Gao, S.G., & Jiao, Q.S. (2015). Oberservation on soil moisture of irrigated cropland by cosmic-ray probe. IEEE Geoscience and Remote Sensing Letters, 12(3), 472-476. doi:10.1109/LGRS.2014.2346784.( 查看 )
5.Song, L.S., Liu, S.M., Zhang, X., Zhou, J., & Li, M.S. (2015). Estimating and Validating Soil Evaporation and Crop Transpiration During the HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(2), 334-338. doi:10.1109/LGRS.2014.2339360.( 查看 )
6.Song, L.S., Liu, S.M., William Kustas P, Zhou, J., Ma, Y.F. (2015). Using the Surface Temperature-Albedo Space to Separate Regional Soil and Vegetation Temperatures from ASTER Data. Remote Sensing, 7(5), 5828-5848. doi:10.3390/rs70505828.( 查看 )
7.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 )
8.Zhou, J., Li, M.S., Liu, S.M., Jia, Z.Z., Ma, Y.F. (2015). Validation and performance evaluations of methods for estimating land surface temperatures from ASTER data in the middle reach of the Heihe River Basin, Northwest China. Remote Sensing, 7, 7126-7156.( 查看 )
9.Xu, Z.W., Liu, S.M., Li, X., Shi, S.J., Wang, J.M., Zhu, Z.L., Xu, T.R., Wang, W.Z., & Ma, M.G. (2013). Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE. Journal of Geophysical Research, 118, 13140-13157, doi:10.1002/2013JD020260.( 查看 | 下载 )
10.Ge, Y., Liang, Y.Z., Wang, J.H., Zhao, Q.Y., Liu, S.M. (2015). Upscaling sensible heat fluxes with area-to-area regression kriging. IEEE Geoscience and Remote Sensing Letters, 12(3), 656-660. doi:10.1109/LGRS.2014.2355871.( 查看 )
11.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 )
12.Hu, M.G., Wang, J.H., Ge, Y., Liu, M.X., Liu, S.M., Xu, Z.W., & Xu, T.R. (2015). Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging. Atmosphere, 6(8), 1032-1044.( 查看 )
13.Xu, T.R., Bateni, S.M., Liang, S.L. (2015). Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE). IEEE Geoscience and Remote Sensing Letters, 12(1), 68-72. doi:10.1109/LGRS.2014.2326180.( 查看 )
14.Song, L.S., Liu, S.M., Kustas WP, Zhou, J., Xu, Z.W., Xia, T., & Li, M.S. (2016). Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures. Agricultural and Forest Meteorology, 230-231, 8-19.doi:10.1016/j.agrformet.2016.01.005.( 查看 )
15.Wang, J.M., Zhuang, J.X., Wang, W.Z., Liu, S.M., Xu, Z.W. (2015). Assessment of uncertainties in eddy covariance flux measurement based on intensive flux matrix of HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(2), 259-263. doi:10.1109/LGRS.2014.2334703.( 查看 )
16.Zhang, Q., Sun, R., Jiang, G.Q., Xu, Z.W., & Liu, S.M. (2016). Carbon and energy flux from a Phragmites australis wetland in Zhangye oasis-desert area, China. Agricultural and Forest Meteorology, doi: 10.1016/j.agrformet.2016.02.019.( 查看 )
17.Liu, S.M., Xu, Z.W., Zhu, Z.L., Jia, Z.Z., & Zhu, M.J. (2013). Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 487, 24-38.( 查看 | 下载 )
18.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.( 查看 )
19.Xu, T.R., Liu, S.M., Xu, Z.W., Liang, S.L., & Xu, L. (2015). A dual-pass data assimilation scheme for estimating surface fluxes with FY3A-VIRR land surface temperature. Sci. China Earth Sci., 58(2), 211-230. doi: 10.1007/s11430-014-4964-7.( 查看 | 下载 )
20.Li, Y., Sun, R., Liu, S.M. (2014).Vegetation Physiological Parameters Setting in the Simple Biosphere Model 2 (SiB2) for alpine meadows in upper reaches of Heihe River. SCIENCE CHINA, doi:10.1007/s11430-014-4909-1.( 查看 )
21.Ma, Y.F., Liu, S.M., Zhang, F., Zhou, J., & Jia, Z.Z. (2015). Estimations of regional surface energy fluxes over heterogeneous oasis-desert surfaces in the middle reaches of the Heihe River during HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(3), 671-675. doi:10.1109/LGRS.2014.2356652.( 查看 )
22.Liu, S.M., Xu, Z.W., Song, L.S., Zhao, Q.Y., Ge, Y., Xu, T.R., Ma, Y.F., Zhu, Z.L., Jia, Z.Z., Zhang, F. (2016). Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces. Agricultural and Forest Meteorology, 230-231, 97-113. doi:10.1016/j.agrformet.2016.04.008.( 查看 | 下载 )
23.Bai, J., Jia, L., Liu, S., Xu, Z., Hu, G., Zhu, M., & Song, L. (2015). Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes. IEEE Geoscience and Remote Sensing Letters, 12(5), 943-947. doi:10.1109/LGRS.2014.2368580.( 查看 )
24.Zhang, L., Sun, R., Xu, Z.W., Qiao, C., & Jiang, G.Q. (2015). Diurnal and Seasonal Variations in Carbon Dioxide Exchange in Ecosystems in the Zhangye Oasis Area, Northwest China. PLoS ONE, 10(3). doi:10.1371/journal.pone.0120660.( 查看 )
25.Xu, T., Liu, S., Xu, L., Chen, Y., Jia, Z., Xu, Z., Nielson, J. (2015). Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing. 7(3), 3400-3425. doi:10.3390/rs70303400.( 查看 | 下载 )
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。
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黑河流域生态-水文过程综合遥感观测试验:水文气象要素与多尺度蒸散发观测
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)
4. 祁连山综合观测网:黑河流域地表过程综合观测网(混合林站涡动相关仪-2018)
6. 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)
1. 2021-12-31 中国农业科学院农业资源与农业区划研究所 练义华 用途:根据申请的数据集获取站点地表温度,以该温度作为参考真值进行机器学习或者深度学习训练,以及用该地表温度进行精度评价。用于硕士论文(中国农业科学农业资源与农业区划研究所),论文题目为基于AMSR-2的无缝地表温度生产方法研究,导师为段四波。
2. 2021-12-04 南京信息工程大学 陈颖萍 用途:数据用于短波辐射和长波辐射相关研究,目前用于长波辐射算法验证
3. 2021-09-14 中国水利水电科学研究院 林人财 用途:老师您好!我是中国水利水电科学研究院的博士生,主要从事微波遥感与农业遥感研究。目前利用SEBS模型做中国区ET产品,想申请涡度数据计算出逐日ET,用以评价所生产产品的稳定性。希望能得到老师的支持,万分感谢!
4. 2021-08-30 中国科学院新疆生态与地理研究所 张晨 用途:驱动生态模型。国家自然科学基金:干旱区典型绿洲演变及其生态效应研究(41671108)
5. 2021-07-23 兰州大学 张扬 用途:用于蒸散发模型研究
6. 2021-07-23 兰州大学 张扬 用途:用于蒸散发模型研究
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15. 2021-04-26 清华大学水利系 李轶博 用途:中国科学院战略性先导科技专项 | XDA2010010406
16. 2021-04-07 长安大学地测学院 许慧慧 用途:我是长安大学地质工程与测绘学院的在读研究生,研究方向是反演温度产品,数据主要用于实验的结果验证,导师是胡羽丰老师
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19. 2021-03-26 武汉大学 libing 用途:科研用途。需利用该站点的长波数据,计算地表温度,用于模型的构建和验证工作。我是武汉大学的一名在读博士,主要研究方向是热红外定量遥感,如能申请到贵站点的数据,会在日后发表的SCI中引用和致谢。
20. 2021-03-16 北京师范大学 李安琪 用途:硕士论文《中国北方风蚀区表土湿度时空变化及其对气候因子的响应》,导师:北师大地理学部程宏,用于检验根据气象数据反演出的表土湿度数据精度
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