Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Leaf area index of Daman Superstation, 2018)
Year+** observatory network + site no+ LAI.
Liu, S., Qu, Y., Xu, Z. (2019). Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Leaf area index of Daman Superstation, 2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270763. CSTR: 18406.11.Meteoro.tpdc.270763. (Download the reference： RIS | Bibtex )Related Literatures:
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.( View Details | Download | Bibtex)
2. Qu, Y.H., Zhu, Y.Q., Han, W.C., Wang, J.D., & Ma, M.G. (2014). Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(2), 431-444.( View Details | Download | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Qu, Y.H., Wang, J.D., Dong, J., et al. (2012). Design and experiment of crop structural parameters automatic measurement system[J]. Transactions of the CSAE, 28(2), 160-165. (View Details | Download )
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
the National Natural Science Foundation of China “Key Theory and Methods for Validation of Land Surface Remote Sensing Products” (No:41531174)
Innovative development of equipments and internet-of-things techniques for ecosystem monitoring and its demonstration (No:2016YFC0500100)
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|East: 100.37||West: 100.37|
|South: 38.85||North: 38.86|
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