%0 Dataset
%T Global 1km daily soil moisture products generated using ensemble learning (2000-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/f286d29c-8552-47a9-9927-2b6ced4d1cb3
%W NCDC
%R 10.5281/zenodo.7172664
%A None
%A None
%K Soil moisture;global;1 kilometer spatial resolution
%X Soil moisture is one of the important climate variables that controls the exchange of water, carbon, and energy between land and atmosphere. Accurate and detailed understanding of the spatiotemporal distribution of soil moisture is crucial for various applications in the Earth system. As part of the Global Land Surface Satellite (GLASS) product suite, a long-term global 1km daily surface soil moisture product was generated from 2000 to 2020. This product (GLASS SM) is mainly generated from GLASS albedo, LST and LAI products, ERA5 land reanalysis soil moisture products, and auxiliary datasets based on ensemble machine learning models. The data values contained in GLASS SM products represent the volumetric moisture content of the topmost soil layer (0-5 cm). The file is stored in sine projection format and provided in Geo Tiff format. The value of 'Node Data' is set to -9999