Abstract:CO2 is one of the main greenhouse gases, which plays a great role in global warming. Since industrialization, the concentration of CO2 has increased substantially worldwide. In order to achieve the target of carbon reduction, it is urgent to monitor the concentration of CO2 in the atmosphere and analyze its spatial and temporal distribution characteristics. With the launch of greenhouse gas observation satellites, carbon satellites can be used to observe and analyze atmospheric CO2 concentration on a large scale. Using GOSAT-2 satellite data and Kriging interpolation technique, the spatial and temporal variation of CO2 column concentration (XCO2) over China''s land area from June 2020 to May 2021 is analyzed. The results show that the nationwide average XCO2 has increased from 413.86 ppm in 2020 to 419.59 ppm in 2021(an increase of 5.73 ppm). The lowest and highest values of XCO2 appear in winter and spring, respectively. The further analysis shows that XCO2 is spatially inconsistent, with higher concentration in the densely populated southeast region and lower concentration in the sparsely populated northwest region. In addition, XCO2 in large cities and their surrounding areas are generally higher than that in other areas, indicating that human factors cause XCO2 in urban areas to increase too quickly. The analysis results can provide important basic data and reference for the study of carbon sources and sinks.