250m remote sensing phenological product data set of Sanjiangyuan National Park (2001-2020)-National Tibetan Plateau Data Center

This dataset is land surface phenology estimated from 16 days composite MODIS NDVI product (MOD13Q1 collection6) in the Three-River-Source National Park from 2001 to 2020. The spatial resolution is 250m. The variables include Start of Season (SOS) and End of Season (EOS). Two phenology estimating methods were used to MOD13Q1, polynomial fitting based threshold method and double logistic function based inflection method. There are 4 folders in the dataset. CJYYQ_phen is data folder for source region of the Yangtze River in the national park. HHYYQ_phen is data folder for source region of Yellow River in the national park. LCJYYQ_phen is data folder for source region of Lancang River in the national park. SJY_phen is data folder for the whole Three-River-Source region.

Data format is geotif. Arcmap or Python+GDAL are recommended to open and process the data.

File naming and required software

Data name: region_NDVI_phenology variable (SOS or EOS)_estimating method (poly or dbl)_Year(YYYY).tif

Data Citations Data citation guideline What's data citation?

Cite as:

WANG Xufeng. 250m remote sensing phenological product data set of Sanjiangyuan National Park (2001-2020). National Tibetan Plateau Data Center, 2020. DOI: 10.11888/Ecolo.tpdc.270972. (Download the reference： RIS | Bibtex )

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

References literature

1.Wang, X.F., Xiao, J.F., Li, X., Cheng, G.D., Ma, M.G., Che, T., Dai, L.Y., Wang, S.Y., Wu, J.K., (2017). No Consistent Evidence for Advancing or Delaying Trends in Spring Phenology on the Tibetan Plateau. Journal of Geophysical Research: Biogeosciences, 122, 3288-3305. (View Details )

Support Program

Ecological Data Center of Sanjiangyuan National Park (No:SJYNP)

Copyright & License

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

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