A new MODIS snow cover extent product over China（2000-2020）
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: 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.
HAO Xiaohua. (2021). A new MODIS snow cover extent product over China（2000-2020）. 时空三极环境大数据平台,
DOI:
10.11888/Snow.tpdc.271387.
CSTR:
18406.11.Snow.tpdc.271387.
[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.
]
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科技基础资源调查项目（2017FY100502） (项目编号:2017FY100502) The Science & Technology Basic Resources Investigation Program of China (Grant No. 2017FY100502)
This work was jointly supported by the National Key Research and Development Program of China (项目编号:2019YFC1510503) This work was jointly supported by the National Key Research and Development Program of China
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