The data set is based on the reflectance of MODIS channels and the observation data of SIF to establish the neural network model, so as to obtain the SIF data with high spatial and temporal resolution, which is often used as a reference for primary productivity. The data is from Zhang et al. (2018), and the specific algorithm is shown in the article. The source data range is global, and the Qinghai Tibet plateau region is selected in this data set. This data integrates the original 4-day time scale data into the monthly data. The processing method is to take the maximum value of the month, so as to achieve the effect of removing noise as much as possible. This data set is often used to evaluate the temporal and spatial patterns of vegetation greenness and primary productivity, which has practical significance and theoretical value.

File naming and required software

File name: CSIF is stored in TIF format and named as "CSIF"_ yyyy_ mm.tif ”Where yyyy is the year and MM is the month.
Data reading mode: can be directly opened with ArcGIS, MATLAB, or other software that can read TIF files.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhang, Y. (2020). Contiguous solar induced chlorophyll fluorescence (CSIF) dataset of Tibetan Plateau (2000-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271037. CSTR: 18406.11.Ecolo.tpdc.271037. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zhang, Y., Joiner, J., Alemohammad, S.H., Zhou, S., & Gentine, P. ( 2018). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences, 15, 5779-5800, https://doi.org/10.5194/bg-15-5779-2018.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

The second comprehensive scientific investigation of Tibetan Plateau (No:2019QZKK0405)

Copyright & License

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