The fractional snow cover (FSC) is the ratio of snow cover area (SCA) to unit pixel area. The data set is made by bv-blrm snow area proportional linear regression empirical model; The source data used are mod09ga 500m global daily surface reflectance products and mod09a1 500m 8-day synthetic global surface reflectance products; The production platform uses Google Earth engine; The data range is global, the data preparation time is from 2000 to 2021, the spatial resolution is 500 meters, and the temporal resolution is year by year. This set of data can provide quantitative information of snow cover distribution for regional climate simulation and hydrological models.

File naming and required software

This dataset contains 352 tif files stored year by year from 2000 to 2021.
Element Item: BV_ BLRM_ mean_ FSC_ yyyy_ aa-bb-nnnnnnnnnn-oooooooooo.tif；
Field code description: BV_ BLRM stands for BV_ BLRM model; mean_ FSC stands for the proportion of annual snow cover area; Yyyy is the year, for example, 2010; Aa and bb represent the starting and ending range of latitude respectively; Nnnnnnnnnnnn-oooooooooo is a block marker within the latitude range of aa bb. In this series of data, each latitude zone is divided into four parts.
Usage: This data set can be read and operated in Arcgis, ENVI and other GIS and remote sensing software environments. Splicing and projection conversion are required before use.

Data Citations Data citation guideline What's data citation?

Cite as:

Ma, Y. (2022). Global average annual snow cover proportion data (2000-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272724. CSTR: 18406.11.Cryos.tpdc.272724. (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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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)