祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站物候相机观测数据集-2019)

Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observ祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站物候相机观测数据集-2019)atory network (Phenology camera observation data set of Alpine meadow and grassland ecosystem Superstation, 2019)


该数据集包含了2019年05月01日至2019年12月31日青海湖流域地表过程综合观测网高寒草甸草原混合超级站的物候相机观测数据。站点位于青海省天峻县苏里路旁侧,下垫面是高寒草甸和高寒草原的混合。观测点经纬度为:东经 98°35′41.62″E,北纬 37°42′11.47″N,海拔3718m。该物候相机采用垂直向下的方式采集数据,拍摄数据分辨率为2592*1944,本数据集中的物候照片是在每天12:10拍摄的,拍摄时间误差在±10 min。图片命名方式为BSDCJZ BEIJING_IR_Year_Month_Day_Time.

数据使用方法

年份+**观测网+站点名称+物候数据


本数据要求的引用方式
文章的引用

1. Li, X.Y., Yang, X.F., Ma, Y.J., Hu, G.R., Hu, X., Wu, X.C., Wang, P., Huang, Y.M., Cui, B.L., & Wei, J.Q. (2018). Qinghai Lake Basin Critical Zone Observatory on the Qinghai-Tibet Plateau. Vadose Zone Journal, 17(1).(查看)

2. Li, X.Y., Ma, Y.J., Huang, Y.M., Hu, X., Wu, X.C., Wang, P., Li, G.Y., Zhang, S.Y., Wu, H.W., Jiang, Z.Y., Cui, B.L., & Liu, L. (2016). Evaporation and surface energy budget over the largest high-altitude saline lake on the Qinghai-Tibet Plateau. Journal of Geophysical Research: Atmospheres, 121(18), 10470-10485.(查看)

数据的引用

李小雁. (2020). 祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站物候相机观测数据集-2019). 国家青藏高原科学数据中心, 2020. doi: 10.11888/Meteoro.tpdc.270801.
[Li, X. (2020). Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observ祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站物候相机观测数据集-2019)atory network (Phenology camera observation data set of Alpine meadow and grassland ecosystem Superstation, 2019). National Tibetan Plateau Data Center, 2020]

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

参考文献

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11.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, 540(540), 574-587.( 查看 | 下载 )

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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.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.( 查看 )

15.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.( 查看 | 下载 )

16.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.( 查看 )

17.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.( 查看 )

18.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.( 查看 )

19.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.( 查看 )

20.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.( 查看 | 下载 )

21.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.( 查看 | 下载 )

22.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(6).( 查看 | 下载 )

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25.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 )

26.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 )

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使用条款

为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力,请数据使用者在使用数据所产生的研究成果中(包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果),明确注明数据来源和数据作者。对于转载(二次或多次发布)的数据,作者还须注明原始数据来源。

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



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East: 98.59 West: 98.59
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  • 数据时间范围:2019-05-26 至 2020-01-25
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  • 元数据更新时间:2021-04-19
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李小雁

分发方: 时空三极环境大数据平台

Email: poles@itpcas.ac.cn

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