As one of the most demanding tasks of geodesy, change detection and deformation analyses are important for the wider audience as well. This is due to the fact that by determining deformation and the restoration of it, we prevent object damage or even destruction and thus, ensure the safety of its wider surroundings. Therefore, this thesis focuses on detecting the incline board displacement by scanning it with a terrestrial laser scanner. In the practical part of the thesis, a platform for board declination was created. Board declination simulated change which we wished to detect and evaluate by different procedures using point clouds. The board was scanned in three different measures, at three different distances, at three inclines, at various declinations,
and with two types of instruments (Riegl VZ-400 and Leica Nova Multistation MS50). The data from the scanner was first filtered through the RANSAC algorithm, then approximate values of plane parameters were calculated and nally, using the general least square adjustment, the accuracy of the parameters was assessed. Using statistical test, with theoretical and empirical standard deviation, we tried to determine if the change of parameters is statistically signicant, thus determing the limit of board declination, where change can be detected by scanning with terrestrial laser scanner.