The large amount of greenhouse gases, mainly CO 2 and CH 4 , emitted by human activities is a major contributor to global warming. Due to the scarcity of ground-based observation sites, satellite remote sensing provides a new technical means to monitor the spatial and temporal distribution and trends of CO 2 and CH 4 . In this paper, we verify the accuracy of XCO 2 and XCH 4 , the remote sensing products of atmospheric CO 2 and CH 4 column concentrations from GOSAT and OCO-2 satellites, and analyze the spatial and temporal distributions and trends of XCO 2 and XCH 4 in China. The main conclusions are as follows. (1) Among XCO 2 remote sensing products, OCO-2_ACOS has the highest correlation with ground observation (up to 0.93); while GOSAT_OCPR has the highest correlation with XCH 4 products (up to 0.78). (2) In the years of study, XCO 2 concentration increases year by year, for example, the annual average OCO-2 XCO 2 concentration in China increases from 396.92 × 10 －6 in 2014 to 414.72 × 10 －6 in 2021. The high values of CO 2 concentration are mainly distributed in urban and industrial concentrated East China, and the high values in the Taklamakan Desert in Northwest China are related to the influence of aerosol scattering. And in the other hand, influenced by the seasonality of anthropogenic and natural sources, XCO 2 has the temporal characteristics of high in winter and spring and low in summer and autumn. (3) The concentration of XCH 4 also increases year by year. Unlike XCO 2 , the high concentration of XCH 4 is distributed in central areas of China such as eastern Sichuan, western Chongqing, centralShaanxi and Shanxi where natural gas and coal mining are concentrated, and the northern China where industry is concentrated. And the seasonal concentration of XCH 4 is high in summer and autumn and low in spring and winter. (4) In 2020, the XCO 2 high value area shifts. Compared with 2020, the CO 2 growth rate of 2021 increases a little, but the increase is still reduced compared with that before 2019.