In recent years, there have been significant developments in the UAV Photogrammetry method in terms of both hardware and software, depending on the technological developments in Unmanned Aerial Vehicles (UAV). In the light of these developments, high accuracy position information can be produced by using the UAV Photogrammetry method. The accuracy of the location information produced by the UAV Photogrammetry method varies depending on the equipment used, flight plan and flight time. Orthophotos and Digital Elevation models (DEM) with cm-level position accuracy can be produced by using the right planning and hardware. In the monitoring of areas where massive deformations such as landslides occur, with classical geodetic terrestrial methods, only point results are obtained. Obtaining spatial results with classical geodetic terrestrial methods is quite burdensome in terms of labor, cost and time. On the other hand, monitoring of spatial deformations by UAV photogrammetry method is very fast and less costly. Therefore, within the scope of this study, a method has been tried to be developed for monitoring deformations with the UAV Photogrammetry method. Within the scope of the study, the method developed for monitoring the surface deformations by using Orthophotos and DEMs obtained by the UAV Photogrammetry method is presented. In this developed method, annual deformation amounts of specially designed target plates were determined by Kalman filter technique by using periodic orthophotos and DEMs with high resolution and accuracy. Three-dimensional periodic position information of specially designed plates was obtained by using Orthophotos DEMs. Then, three-dimensional velocity values of the points were obtained using the Kalman Filter Technique. As a result, the UAV Photogrammetry method has been used successfully in monitoring the surface deformations, depending on the location accuracy of the Orthophoto and DEMs.