In the case of noise modelling preparation of industrial plants, if the client does not have the required quantity and quality of information and data for the proper outcome, we have to produce them for ourselves. In such instances, field survey is essential to obtain the desired data. In this paper, it is shown how to create the necessary digital terrain (DTM) and surface (DSM) models for the noise modelling in case they are not available. The implementation of the task was solved by photogrammetric survey obtained as the result of a drone (UAV) flight operation and its data processing. The aim is to produce a file that can be imported into the noise mapping software used in the project. On the generated orthographic photo of the study area the exact position of the noise sources can be marked in the horizontal plane. In vertical plane terms, the surface model will help us to determine the height of the noise sources and the relevant objects. Then, using an appropriate software, a shape file can be generated and imported into the noise mapping software and as the goal, the noise modelling can be performed.