The data set includes the data of land soil moisture in China from 2002 to 2018, in m ³/ m ³， The temporal resolution is month, and the spatial resolution is 0.05 °. It is made of three passive microwave remote sensing products: Level 3 soil moisture data of AMSR-E and Level 3 soil moisture data of AMSR2 from JAXA, and soil moisture data of SMOS products developed by INRA and CESBIO. In order to cope with the low spatial resolution of passive microwave soil moisture products, researchers have established a spatial weight decomposition (SWD) model based on the Temperature Vegetation Drought Index (TVDI), in which TVDI is calculated from the surface temperature (LST) MYD11C3 data of MODIS and the normalized vegetation index (NDVI) MYD13C2 data. On the whole, the downscale soil moisture product is consistent with the field measurement results (R>0.78), and the root mean square error is low (ubRMSE<0.05 m ³/ m ³）， This shows that the data has good accuracy in the whole time series. Data sets can be widely used in hydrological and drought monitoring, and can be used as important input parameters of ecological and other geophysical models. This data set is cut on the basis of metadata set to obtain soil moisture data in Southwest China.
Data naming rule is SM_ YYYY_ MM.tif, where SM represents soil moisture, YYYY represents year, and MM represents month.
Mao, K. (2022). Soil Moisture Data Set of Southwest China (2002-2018). Upper Yangtze River Scientific Data Center, (Download the reference：
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| East: 113.00 | West: 96.00 |
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| South: 20.50 | North: 35.00 |
