Abstract: In recent years,soil moisture remote sensing satellite data are widely used in the study of climate,hydrology,agriculture and other fields. The applicability analysis of microwave soil moisture data products is becoming more and more important. Based on the fluxnet 2015 data set of NASA and the ISMN network initiated and managed by European Space Agency,this study uses statistical methods from July2012 to December 2014,based on IGBP（International geosphere biosphere program）as the standard of land cover type classification,two remote sensing soil moisture products SMOS-L3-SM and AMSR2-LPRM-SM are compared and verified with the measured data at FLUXNET sites around the world,and from January 2016 to December 2017,the soil moisture products of 30 meters.The global land cover product（globel and 30）is used as the standard of land cover classification,and the SMAP-L3-SM and AMSR2-LPRM-SM are compared with the measured data at ISMN sites around the world. The results show that the retrieval accuracy of the three remote sensing soil moisture products in the low and sparse vegetation coverage area is higher than that in the dense vegetation coverage area,and the retrieval accuracy of SMOS and AMSR2 products is lower when the surface coverage is coniferous forest,while the retrieval accuracy of SMAP and AMSR2 products is lower when the surface coverage is wet underground higher than AMSR2.