%0 Dataset
%T National Soil Moisture Dataset (2002-2018)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e50f3410-0e16-4459-9619-9b4894dd712f
%W NCDC
%R 10.5281/zenodo.4738556
%A Mao Kebiao
%K Soil moisture;microwave remote sensing;spatial weighted decomposition;downscaling
%X This dataset contains soil moisture data of Chinese land from 2002 to 2018, with a temporal resolution of monthly scale and a spatial resolution of 0.05 °. More specifically, it is generated by three passive microwave remote sensing products: microwave scanning radiometer earth observation system (AMSR-E) and advanced microwave scanning radiometer (AMSR2) three-level soil moisture data of Japan Aerospace Exploration Agency (JAXA), and SMOS products developed by the soil moisture data of Institut National de la Recherche Agronomique (INRA) and Centre d'Etudes Spatiales de la BIOsph è re (CESBIO). In order to overcome the shortcomings of low resolution passive microwave soil moisture products, we use TVDI calculated from Moderate-Resolution Imaging Spectroradiometer (MODIS) data to construct spatial weighted decomposition (SWD), including land surface temperature (LST) MYD11C3 data and normalized difference vegetation index (NDVI) MYD13C2 data. In general, the downscaling soil moisture (SM) product is consistent with the in-situ measurement results (R> 0.78), and shows a low root mean square error (ubRMSE< 0.05 m3/m3), which indicates that the entire time series has good accuracy