The technology based on terrestrial laser scanning data and included all stages of data collection and processing for creating digital terrain models is presented. The difference between the proposed technology and the existing ones is a comprehensive consideration of such factors as weather conditions for data collection, the degree of the territory development, its spatial extension and area, as well as the recommendation list for the choice of three-dimensional modeling methods depending on the requirements for the format of vector models and the features of modern software. To improve the quality of data processing, a universal filtering algorithm is included in the technology. The developed algorithm allows recognizing false points in the point cloud and extract the points ofthe ground surface for generating a digital terrain model. The technology was tested during the survey of the booster pump station territory located in an oil and gas deposit and the processing of the results. The presented laser scanning data accuracy estimation results confirmed the optimality ofthe planning and measurement steps described in the technology. The digital terrain model accuracy estimation results for the territory demonstrated that a universal filtering algorithm allows automated filtering offalse points with high reliability. It is discussed that the values of the algorithm parameters depend on the angular resolution of scanning and the distance between the scanner stations. The proposed values should be used as initial when choosing new ones, if the surveying parameters are different from those used when scanning the researchable object.
Maksim Altyntsev (Fri,) studied this question.