Satellite remote sensing is currently a economical and effective method for monitoring atmospheric methane concentration, to understand the subtle differences in XCH₄ data across different observation systems. This paper proposes a multidimensional evaluation method of the XCH₄ data from GOSAT-2 and Sentinel-5p satellite, conducts uncertainty analysis by spatiotemporal matching of satellite data with ground station data, and quantitatively analyzes the effective coverage of XCH₄ observations from the two satellites in different latitude bands and typical research areas. The research results indicate that: 1) The Sentinel-5p satellite data has a higher correlation coefficient (R2) with TCCON data compared to GOSAT-2 satellite data. (GOSAT-2: R²=0.7707, Sentinel-5p: R²=0.8494), 2) the distribution ratio of the two satellites data in the medium to low latitude zones (50° S~50° N) is as high as 70%, and 3) Sentinel-5p satellite data has a better cumulative coverage effect than GOSAT-2 satellite in a typical study area for 15 days (GOSAT-2: 0.81%, Sentinel-5p: 36.85%). This study can provide reference for the spatiotemporal fusion of multi-source carbon satellites and related research.