Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Phenology camera observation data set of Sidaoqiao superstation-2019)
The dataset contains the phenological camera observation data of the Sidaoqiao Superstation in the downstream of Heihe integrated observatory network from August 28,2019 to December 31, 2019. The instrument was developed and data processed by Beijing Normal University. The phenomenon camera integrates data acquisition and data transmission functions. The camera captures data by look-downward with a resolution of 1280×720. For the calculation of the greenness index and phenology, the relative greenness index (GCC, Green Chromatic Coordinate, calculated by GCC=G/(R+G+B)) needs to be calculated according to the region of interest, then the invalid value filling and filtering smoothing are performed, and finally the key phenological parameters are determined according to the growth curve fitting, such as the growth season start date, Peak, growth season end, etc. For coverage, first, select images with less intense illumination, then divide the image into vegetation and soil, calculate the proportion of vegetation pixels in each image in the calculation area. After the time series data is extracted, the original coverage data is smoothed and filtered according to the time window specified by the user, and the filtered result is the final time series coverage. This data set includes relative greenness index (Gcc).
Please refer to Liu et al. (2018) for sites information in the Citation section.
Year+** observatory network+ site no + Phenology camera
Liu, S., Qu, Y., Xu, Z. (2020). Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Phenology camera observation data set of Sidaoqiao superstation-2019). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.270702. CSTR: 18406.11.Meteoro.tpdc.270702. (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.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Liu, J.G., & Pattey, E. (2010). Retrieval of leaf area index from top-of-canopy digital photography over agricultural crops. Agricultural and Forest Meteorology, 150(11), 1485-1490. (View Details )
2.Liu, Y. K., Mu, X. H., Wang, H. X., & Yan, G. J. (2012). A novel method for extracting green fractional vegetation cover from digital images. Journal of Vegetation Science, 23, 406–418. (View Details | Download )
3.Song, W. J., Mu, X. H., Yan, G. J., & Huang, S. (2015). Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC). Remote Sensing, 7, 10425-10443. (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)
the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA20100101) [XDA20100101]
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