GeoTerrace GNSS network

The study presents an assessment of the geodynamic characteristics of territories around Ukrainian hydroelectric power plants based on GNSS observations from countinious operating reference stations (CORS) of GeoTerrace and System.Net networks for the period 2019–2025. Daily solutions are computed using Bernese 5.2 software and subsequently transformed into the ETRF-2020 reference frame. The methodology includes the estimation of linear trends and annual horizontal velocities of GNSS stations in the north and east components.

One of the applied geodetic tasks in geodynamics is the detection of anomalous deviations in GNSS time series, which may indicate deformations of the Earth's surface caused by various geophysical phenomena. It is important to note that geodynamic anomalies may be of a local nature, manifesting at a single GNSS station, or of a regional nature, occurring simultaneously across a group of GNSS time series. The objective of this article is to develop a method for detecting geodynamic anomalies in GNSS time series using machine learning algorithms.

The study presents the current state of GNSS Continuously Operating Reference Stations (CORS) networks and their operational characteristics during the ongoing hostilities in Ukraine. Stable GNSS CORS network operation is crucial not only for agricultural, geodetic, and land management tasks but also for military navigation and topography.