Application of Unmanned Aerial Vehicle for generating a Digital Surface Model of the mineral mining area

Abstract

Unmanned Aerial Vehicles are one of the new technologies to establish 3D models of the earth. The goal of this research is to generate a digital surface model from image data obtained from the DJI Inspire 2 and GNSS technology. The results of the study were created using Agisoft Photoscan software. The accuracy of results is evaluated based on the Root Mean Squared Error (RMSE). The RMSE of the ground control points and checkpoints is 6.108 cm and 8.718 cm respectively. The obtained findings indicate that UAV photogrammetry can be used as an alternative to traditional methods, especially those that use a lot of manpower and expensive equipment.