MODIS daily cloud-free snow cover area product for Sanjiangyuan from 2000 to 2019- A Big Earth Data Platform for Three Poles

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 2019-12-31.

Data format is geotiff, Arcmap or python+GDAL were recommended to open and process the data.

File naming and required software

Data name: MODIS_SCA_Year+doy_DAILY_resolution_V01SJY.tif, for example: MODIS_SCA_2001001_DAILY_500M_V01SJY.tif

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Cite as:

Hao, X. (2019). MODIS daily cloud-free snow cover area product for Sanjiangyuan from 2000 to 2019. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.270974. CSTR: 18406.11.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.

References literature

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.H., Luo, S.Q., Che, T., Wang, J., Li, H.Y., Dai, L.Y., Huang, X.D., &Feng, Q.S. (2019). Accuracy assessment of four cloud-free snow cover products over the qinghai-tibetan plateau. International Journal of Digital Earth,12 (4), 375-393. (View Details | Download )

Support Program

The National Nature Science Foundation of China:“The research on retrieval model of snow grain size and pollutants developed on subpixel scale”. (No:42471291)

National Satellite Meteorological Center: The validation ofoptical snow cover product from FengYun-3 meteorological satellite (No:49AK1001)

None (No:2017FY100502)

Copyright & License

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