Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) offers opportunities to make advances in many researchareas including hydrology by providing near-global scale elevation measurements at a uniform resolution. Its wide coverage andcomplimentary online access especially benefits researchers requiring topographic information of hard-to-access areas. However, SRTMDEM also contains inherent errors, which are subject to propagation with its manipulation into analysis outputs. Sensitivity of hydrologicanalysis to the errors has not been fully understood yet. This study investigated their impact on estimation of hydrologic derivativessuch as slope, stream network, and watershed boundary using Monte Carlo simulation and spatial moving average techniques. Differentamount of the errors and their spatial auto-correlation structure were considered in the study. Two sub-watersheds of Geum and DeadongRiver areas located in South and North Korea, respectively, were selected as the study areas. The results demonstrated that the spatialpresentations of stream networks and watershed boundaries and their length and area estimations could be greatly affected by the SRTMDEM errors, in particular relatively flat areas. In the Deadong River area, artifacts of the SRTM DEM created sinks even after thefilling process and then closed drainage basin and short stream lines, which are not the case in the reality. These findings providedan evidence that SRTM DEM alone may not enough to accurately figure out the hydrologic feature of a watershed, suggesting needof local knowledge and complementary data.