TY  - Data
T1  - China's MODIS daily cloudless 500m snow cover area product data set (2000–Present)
DO  - 10.12072/ncdc.I-SNOW.db0001.2020
PY  - 2022
DA  - 2022-05-10
PB  - National Cryosphere Desert Data Center
AB  - Snow cover is an important component of the cryosphere. The extent of snow cover affects the Earth-atmosphere energy balance, thereby influencing climate and environmental change. Snow cover area is one of the key snow parameters and serves as a critical input for hydrological and climate models.This dataset is tailored to the snow characteristics of China. Based on the MODIS reflectance products MOD/MYD09GA, a multi-index combined snow discrimination algorithm was developed under different land cover types to improve the accuracy of snow cover area in forested and mountainous regions. Furthermore, the Hidden Markov Model algorithm and multi-source data fusion methods were employed to achieve complete cloud removal, producing a daily cloud-free snow cover area dataset at a spatial resolution of 500 m since 2000.The dataset is stored in HDF5 file format. Each HDF5 file contains 18 data elements, including data values (0 = land, 1 = snow identified from imagery, 2 = cloud-gap-filled snow, 3 = snow-depth-interpolated snow, 4 = water, 255 = fill value), data start date, latitude, longitude, and others. For quick preview of snow distribution, each daily file includes a snow cover area thumbnail image stored in JPG format. In addition, a user manual is provided with this dataset. The dataset will be updated in real time based on updates to satellite remote sensing data and algorithms, and is made available under a fully open-access policy.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/be3a4134-2e5c-467f-8a5e-b1c0ed6cc341
ER  -