This thesis determines the impact of user-defined parameters on the accuracy of digital terrain model. Digital terrain models (DTMs) are made on the basis of three sets of elevation data: vectorized contour lines and elevations, LiDAR cloud points and photogrammetry samples (stereorestitution). DTM produced from LiDAR samples was used as the reference value for assessing the accuracy of the other DTMs. By using photogrammetry samples the author tested ten methods of spatial interpolation, and the best result was achieved by using the method of ordinary kriging (OK). The special emphasis is set on the pixel size, which is calculated for each model individually with several calculations. Also, the concept of a hybrid DTM was developed, which is based on the restructuring and refinement of the input data by creating geostatistical contour lines. The results indicate that the most accurate DTMs were produced from vectorized contour lines and elevations. Among the photogrammetric generated DTMs, to which the thesis is primarly focused, the hybrid model with spatial resolution of 3 m achieved much better results in all aspects of accuracy assessment, than DTM produced by the usual approach. DTMs are also compared by the success of performance of some hydrological parameters: 1) flow accumulation – where „DNA“ concept of determining horizontal discrepancy was developed and 2) drainage basin – by analysing volumes and 3D surfaces.