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., Li, X. (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 | 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 )
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1.The leaf water potential dataset in the downstream of the Heihe River Basin (2012)
2.Grassland interception dataset of Tianlaochi watershed in Qilian Mountain
5.Leaf area index of Qinhai spruce stand at 2800 m above sea level in Pailougou watershed (2011)
6.Spatial distribution data of forest biomass in tianlouchi watershed of Heihe river (August 2013)
9.Data of SPAC system in the lower reaches of Heihe River (2012-2013)
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East: 100.37 | West: 100.37 |
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South: 38.85 | North: 38.86 |
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