HiWATER: Dataset of investigation on crop phenology and field management in the midstream of the Heihe River Basin

HiWATER: Dataset of investigation on crop phenology and field management in the midstream of the Heihe River Basin


The dataset combined with crop phrenology data and field management data which were investigated near the 13 eddy covariance (EC) stations.

1.1 Objective of investigation

Objectives of investigation is to supply assistant information for experiment on EC, meteorology, and biophysics parameter.

1.2 Investigation spots and items

Investigation spots include Jiu She of Shiqiao village (EC3), Xiaoman southern road (EC16), Wu She of Five stars village (EC13), Wu She of Xiaoman village (EC14), Er She of Shiqiao village (EC5), Liu She of Zhonghua village (EC11), Liu She of Shiqiao village (EC2), Wu She of JinCheng village (EC7), EC6, Liu She of Jincheng village (EC8), Yi She of Kangning village (EC9), Er She of Kangning village (EC10), and Si She of Jingcheng village (EC12).

Investigation items comprise crop type, crop name, seed time, seed type, plant span, row span, field area, germination time, three leaves period, seven leaves period, farming way, farming time, irrigation time, irrigation water volume, fertilization time, fertilization type, and fertilization rate. The time used in this dataset is in UTC+8 Time.

1.3 Data collection

Data was collected by using ask-reply approach according to investigation tables.


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

Ge, Y., Li, X. (2017). HiWATER: Dataset of investigation on crop phenology and field management in the midstream of the Heihe River Basin. A Big Earth Data Platform for Three Poles, DOI: 10.3972/hiwater.124.2013.db. CSTR: 18406.11.hiwater.124.2013.db. (Download the reference: RIS | Bibtex )

Related Literatures:

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.( 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.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 )

2.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

The CAS (Chinese Academy of Sciences) Action Plan for West Development Project (No:KZCX2-XB3-15)

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)


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Keywords
Geographic coverage
East: 100.40 West: 100.34
South: 38.85 North: 38.89
Details
  • File size: 0.03 MB
  • Views: 14197
  • Downloads: 433
  • Access: Open Access
  • Temporal coverage: 2018-11-29 To 2018-11-29
  • Updated time: 2021-04-19
Contacts
: GE Yingchun   庄金鑫   Ma Chunfeng   庄金鑫   LI Xin  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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