The dataset was produced based on MODIS data. Parameters and algorithm were revised to be suitable for the land cover type in the Three-River-Source Regions. By using the Markov de-cloud algorithm, SSM/I snow water equivalent data was fused to the result. Finally, high accuracy daily de-cloud snow cover data was produced. The data value is 0(no snow) or 1(snow). The spatial resolution is 500m, the time period is from 2000-2-24 to 2018-12-31.
Data format is geotiff, Arcmap or python+GDAL were recommended to open and process the data.
Data name: MODIS_SCA_Year+doy_DAILY_resolution_V01SJY.tif, for example: MODIS_SCA_2001001_DAILY_500M_V01SJY.tif
HAO Xiaohua. MODIS daily cloud-free snow cover area product for Sanjiangyuan from 2000 to 2018. National Tibetan Plateau Data Center, 2019. doi: 10.11888/Snow.tpdc.270974. (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.
1.Gao, Y., Hao, X.H., He, D.C., Huang, G.H., Wang, J., Zhao, H.Y., Wei, Y.R., Shao, D.H., Wang, W.G. (2019). Snow mapping algorithm based on NDSI threshold optimization of different land cover in Tibetan Plateau. Journal of Glaciology and Geocryology, 41(5). (View Details )
2.Hao, X., Luo, S., Che, T., Wang, J., Li, H., & Dai, L., et al. (2018). Accuracy assessment of four cloud-free snow cover products over the qinghai-tibetan plateau. International Journal of Digital Earth, 1-19. (View Details | Download )
Project of national natural science foundation of China: research on subpixel scale snow particle size and pollutant remote sensing inversion (No:42471291)
Science & Technology Basic Resources Investigation Program of China“Snow characteristics and distribution in China”. the 2th subject: Retrival of snow cover and snow products (No:2017FY100502)
National Satellite Meteorological Center: The validation ofoptical snow cover product from FengYun-3 meteorological satellite (No:49AK1001)
To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
License：
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Attribution 4.0 International (CC BY 4.0)
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| East: 102.58 | West: 89.15 |
|---|---|
| South: 30.79 | North: 37.38 |
