The fraction snow cover (FSC) is the ratio of the snow cover area SCA to the pixel space. The data set covers the Arctic region (35 ° to 90 ° north latitude). Using Google Earth engine platform, the initial data is the global surface reflectance product with a resolution of 1000m with mod09ga, and the data preparation time is from February 24, 2000 to November 18, 2019. The methods are as follows: in the training sample area, the reference data set of FSC is prepared by using Landsat 8 surface reflectance data and snomap algorithm, and the data set is taken as the true value of FSC in the training sample area, so as to establish the linear regression model between FSC in the training sample area and NDSI based on MODIS surface reflectance products. Using this model, MODIS global surface reflectance product is used as input to prepare snow area ratio time series data in the Arctic region. The data set can provide quantitative information of snow distribution for regional climate simulation and hydrological model.

File naming and required software

File name: the snow area ratio data is stored in TIF format, and the file name is "yyyy mm dd-0000000000-0000023296. TIF", where yyyy represents the year and DD represents the date. For example, 2003-02-0000000000-0000023296.tif represents this TIF file to describe the snow area ratio of the north pole on February 26, 2003
Data reading mode: all tif files in this data set can be opened directly by Arcgis. Due to the large amount of data, occupy very high memory, uploaded data are the original data.Two scenes per day, daily FSC data can be obtained after splicing.

Data Citations Data citation guideline What's data citation?

Cite as:

Ma, Y., Li, H. (2019). Time series data of snow area ratio in the Arctic (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.270330. CSTR: 18406.11.Snow.tpdc.270330. (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.

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Chinese Academy of Sciences through the Strategic Priority Research Program (No:XDA19070302) [XDA19070302]

Copyright & License

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