This study tried to quantitatively reveal influence of land cover and vegetation on DSM generation with statistical analysis. The forest played the most significant role in increase of elevation difference between DSM and DEM and the broadleaf tree forest exerted more influences on the difference than the needle leaf tree forest and mixed stand forest did, although there were slight variations depending on the tree type. This study suggests that low statistical relevance can be attributed to shooting problem and distortion of aerial photo, and problem associated with change in shape or location during shooting as well as shadow region. Despite of various causes to decrease statistical relevance, it can be suggested that results in this study directly reflected morphological characteristics of canopy by vegetation. With more data from this study, it is expected that characteristics of DSM and DEM can help to extract information such as forest attribute and tree type distribution.