нівелювання

The aim of this study is to construct a regional geoid model using the MLP ANN method and to assess its accuracy with GNSS–levelling data for the Vinnytsia region, both within and without the application of the “Remove–Compute–Restore” procedure. Method. The construction of a geoid model using artificial neural networks (ANN) is a modern approach that integrates classical geodetic methods with intelligent data processing technologies. The main idea is to apply machine learning algorithms to establish nonlinear relationships between various input geophysical parameters and the geoid height.

The aim of this article is to investigate the accuracy of dual line leveling, and develop a methodology for its execution to enhance the precision of elevation determination by accounting for vertical refraction and controlling the non-horizontality of the leveling beam. Methodology. Considering that digital levels can measure distances to the rod and account for the non-horizontality of the beam and vertical refraction during measurements, we propose a method of dual line leveling.

The life path and the range of scientific interests of Professor Oleksandr Moroz are described. The main results of scientific research in the field of the influence of vertical refraction on the accuracy of astronomical and geodetic measurements are shown.

The experimental researches of the motion of the focusing lens of the digital level Dini 22 are done. The received results show that the precision of re-focusing of the specific level is within the precision of the measuring.