{"id":"2da58006-4834-4b92-8382-0d1088805635","title":"A new MODIS snow cover extent product over China（2000-2020）","title_en":"A new MODIS snow cover extent product over China（2000-2020）","serial":"","user_limit":"To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.","instructions":"File naming: The MODIS' cloud-free day-by-day snow area product includes HDF files and JPG thumbnails.\nData reading method: \nHDF 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.\nJpg thumbnails: According to MODIS snow area scientific dataset for fast vision judgment, file name NIEER_CGF MODIS_SCE__********_DAILY_500m_V02, ******** is the date.","description":"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.","doi":"10.11888/Snow.tpdc.271387","projection":"","language":"en","share_type":"online","east":142.0,"west":72.0,"south":16.0,"north":56.0,"scale":null,"crs":null,"filesize":72704.0,"share_policy":"a","ts_created":"2021-06-07T15:18:02.739846+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-09-24T11:13:09.200067+08:00","time_description":"","datas_group":2,"time_description_en":"","data_format":null,"project":[10,11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":21057,"last_login":"2022-04-02T11:43:37.753860+08:00","username":"gecm","email":"gechm@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"盖春梅"},"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[549,561],"subtopics":{"metadata":"2da58006-4834-4b92-8382-0d1088805635","three_pole":null,"third_pole":null},"username":"盖春梅","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":591}