The dataset contains the phenological camera observation data of the Liancheng station in the midstream of Datonghe integrated observatory network from April 26 to October 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 2592×1944. 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), phenological period and coverage (Fc).

File naming and required software

Picture from phenology camera: Station+yyyy+mm+dd+hhmm, for example, Liancheng201907220800.jpg
Post processing data: Year+** observatory network+ site no + Phenology camera.

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Cite as:

Zhao, C., Zhang, R. (2020). Qilian Mountains integrated observatory network: Dataset of Datonghe integrated observatory network (Phenology camera observation data set of Liancheng Station, 2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270738. CSTR: 18406.11.Meteoro.tpdc.270738. (Download the reference： RIS | Bibtex )

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Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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