For the snow distribution area in China, we prepared a MODIS day-by-day cloud-free snow area dataset with a spatial resolution of 500m from 2000 to 2020 based on the MODIS reflectivity product MOD/MYD09GA, using a decision tree snow discriminant algorithm for different surface types and a vacancy filling algorithm such as a spatiotemporal interpolation algorithm for the hidden Markov random field model. The dataset is stored in HDF5 file format, and each HDF5 file contains 18 data elements, which include data values, data start date, latitude, and longitude. Meanwhile, for a quick preview of snow distribution, the day-by-day file contains snow area thumbnails stored in jpg format. This dataset will be continuously supplemented and improved based on real-time satellite remote sensing data and algorithm updates (currently through December 2020), and will be shared in a fully open sharing format.

File naming and required software

File naming: The MODIS' cloud-free day-by-day snow area product includes HDF files and JPG thumbnails.
Data reading method:
HDF files: The HDF5 file includes the following fields: File_ Overview, Product_ ID, Product_ Version, Product_ Area, Product_ Start_ Date, Product_ Cycle, Satellite Name, Geographic Coordinate System, Resolution_ Unit, Latitude_ Resolution, Latitude_ Min, Latitude_ Max, Longitude_ Resolution, Longtitude_ Min, Longitude_ Max, Remark, Day_ snow_ cover_ area:Cloud free snow cover product.
Jpg thumbnails: According to MODIS snow area scientific dataset for fast vision judgment, file name NIEER_ CGF MODIS_ SCE__********_ DAILY_ 500m_ V02, ******** is the date.

Data Citations Data citation guideline What's data citation?

Cite as:

Hao, X. (2021). A new MODIS snow cover extent product over China（2000-2020）. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.271387. CSTR: 18406.11.Snow.tpdc.271387. (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

None (No:2019YFC1510503)

None (No:2017FY100502)

Copyright & License

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