The factors influencing the qualitative and quantitative components of the result of surveying in open-pit mining using a quadcopter were identified and systematized, and the mathematical dependence of the influence of factors on the final error of surveying was determined. After a large number of field observations – numerous flights of a geodesic quadcopter over mining facilities – the subsequent mathematical justification of the results of the aerial photogrammetric surveying was made, which allowed to analyze the degree of participation in the final accuracy of the survey of each of the considered factors. The results of this study demonstrate the source of errors, which provide the surveyor with the opportunity to efficiently and competently carry out pre-flight preparation and planning of fieldwork. The study and subsequent consideration of the factors affecting the accuracy of surveying with the use of an unmanned aerial vehicle are the basis for the subsequent development and formation of a methodology for using a geodesic quadcopter in the conditions of open-pit mining.

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The application of unmanned aerial vehicle technologies in surveying is gaining pace: the results are more correct while being obtained more quickly at less amount of resources required. The drawbacks of the UAV used are most frequently detected during the flight execution and thus, a certain experience is accumulated, new methods and options for the UAV application at surface mining operations. A great part of the experimental outcomes obtained allows justifying a more efficient use of UAV from a theoretical perspective. The article considers the main problems of surveying photogrammetric measurements of the mountain objects. The authors study the impact factors influencing the errors in the measurements conducted with the help of the unmanned aerial vehicle and suggest a mathematical method for their substantiation and analysis by the example of ANOVAR of the UAV flying height and the number of control survey points that help to improve the correctness of the final model for the object measured.

Relevance of the research topic. The paper shows main results of environmental parameters that affect the quality of 3D-models obtained by the photogrammetric method of surveying. Research objective. The article presents: the fundamental possibility of using a small-sized photogrammetric device for underground surveying and the parameters that affect the result of shooting in a confined low-light space. Research methods. Experiments included a set of independent serial photographs of a test site. To increase the results of experiments, object with a simple geometric shape have been used as test objects for extrapolating of the results of the survey to products of standard metal products. In these conditions, imitating abstract underground mine workings: with the lack of lighting, confined spaces, a small number of characteristic points in the background. The texture of the subject of photogrammetric survey and common geometric parameters of photo base accepted as studied factors. Various images were projected onto the test scene to form an artificial texture. Results and its applications. The experimental results confirm the possibility of using the proposed methods for identifying engineering communications nodes, oil and gas production facilities, elements of lifting machines and conductors in vertical mining devices. In addition, the authors performed an idea of improving the quality of photogrammetric models by projecting temporary artificial textures on the subject. The results of the work can be used for the improving of the methods of surveying, using digital photogrammetry technology Findings. It is possible to imrove the quality of digital photogrammetric models of engineering structures by projecting artificial textures onto them. The possibility of the creation of models of the subject increases the accuracy and controllability of the result. With increasing contrast and complexity of the texture being applied, digital photogrammetry algorithms better determine the correspondence between a pair of photographs.