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本数据要求的引用方式 查看数据引用帮助 数据引用必读

数据的引用

刘绍民, 徐同仁. (2019). 黑河流域区域尺度地表蒸散发相对真值数据集（2012-2016年）ETMap Version 1.0. 时空三极环境大数据平台, DOI: 10.11888/Meteoro.tpdc.270141. CSTR: 18406.11.Meteoro.tpdc.270141.
[Liu, S., Xu, T. (2019). Dataset of ground truth of land surface evapotranspiration at regional scale in the Heihe River Basin (2012-2016) ETMap Version 1.0. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270141. CSTR: 18406.11.Meteoro.tpdc.270141. ] (下载引用： RIS格式 | RIS英文格式 | Bibtex格式 | Bibtex英文格式 )

文章的引用

1. Xu, T.R., Guo, Z.X., Liu, S.M., He, X.L., Meng, Y.F.Y., Xu, Z.W., Xia, Y.L., Xiao, J.F., Zhang, Y., Ma, Y.F, Song, L.S. (2018). Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale. Journal of Geophysical Research: Atmospheres, 123(16), 8674-8690. doi: 10.1029/2018JD028447.( 查看 | Bibtex格式)

2. Liu, S., Li, X., Xu, Z., Che, T., Xiao, Q., Ma, M., Liu, Q., Jin, R., Guo, J., Wang, L., Wang, W., Qi, Y., Li, H., Xu, T., Ran, Y., Hu, X., Shi, S., Zhu, Z., Tan, J., Zhang, Y., Ren, Z. (2018). The Heihe Integrated Observatory Network: A basin‐scale land surface processes observatory in China. Vadose Zone Journal, 17,180072. https://doi.org/10.2136/vzj2018.04.0072.( 查看 | Bibtex格式)

3. 刘绍民, 贾贞贞, 徐同仁, 马燕飞, 周会珍, 李新, 徐自为, 张圆, 宋立生, 姚云军, 刘照言. (2021). 国家标准《地表蒸散发遥感产品真实性检验》. GB/T 40033-2021.( 查看 | Bibtex格式)

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

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参考文献

1.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 | 下载 )

2.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 )

3.Song, L.S., Liu, S.M., Kustas, W.P., 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. (查看 | 下载 )

4.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. (查看 | 下载 )

5.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 | 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.Xu, T.R., He, X.L., Bateni, S.M., Auligne, T., Liu, S.M., Xu, Z.W., Zhou, J., Mao, K.B. (2019). Mapping Regional Turbulent Heat Fluxes via Variational Assimilation of Land Surface Temperature Data from Polar Orbiting Satellites. Remote Sensing of Environment, 221, 444-461, doi.org/10.1016/j.rse.2018.11.023 (查看 )

8.Xu TR, Bateni S.M., Neale C.M.U., Auligne T., Liu SM. Estimation of turbulent heat fluxes by assimilation of land surface temperature observations from GOES satellites into an ensemble Kalman smoother framework. Journal of Geophysical Research: Atmospheres, 2018, 123(5): 2409-2423. doi: 10.1002/2017JD027732. (查看 )

9.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 | 下载 )

10.Ma, Y.F., Liu, S.M., Song, L.S., Xu, Z.W., Liu, Y.L., Xu, T.R., Zhu, Z.L. (2018). Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data. Remote Sensing of Environment, 216, 715-734. doi:10.1016/j.rse.2018.07.019. (查看 )

11.Jung M, Reichstein M, Margolis H. A., Cescatti A, Richardson AD, Arain MA, Williams, C.. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. Journal of Geophysical Research: Biogeosciences, 2011, 16, G00J07. doi: 10.1029/2010JG001566. (查看 )

12.Song, L.S., Liu, S.M., William P, K., Hector, N., Sun, L., Xu, Z.W., Todd H, S., Yang, Y., Ma, M.G., Xu, T.R., Tang, X.G., Li, Q.P. (2018). Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale. Remote Sensing of Environment, 219, 72–88. doi: 10.1016/j.rse.2018.10.002. (查看 )

13.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 )

14.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. (查看 )

15.Li, X., Liu, S.M., Li, H.X., Ma, Y.F., Wang, J.H., Zhang, Y., Xu, Z.W., Xu, T.R., Song, L.S., Yang, X.F., Lu, Z., Wang, Z.Y., Guo, Z.X. (2018). Intercomparison of six upscaling evapotranspiration methods: From site to the satellite pixel. Journal of Geophysical Research: Atmospheres, 123(13), 6777-6803. https://doi.org/10.1029/2018JD028422. (查看 )

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资助项目

陆表遥感产品真实性检验中的关键理论与方法研究(41531174) (项目编号:41531174)

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

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