The paper proposes and implements a method for monitoring the stability of base stations in GNSS networks by processing the results of a combined network solution on the monitoring object in real time and also with the possibility of post-processing. According to the above algorithm, a monitoring system for several GNSS stations of the Geoterrace network of Lviv Polytechnic National University was practically built. This approach allows GNSS network operators improve the control of the stability of the spatial position of the base GNSS stations of the networks.
Nguyen, M. D., Van Thang, N., Wakai, A., Sato, G., Karnjana, J., Hung, H. V., ... & Pham, B. T. (2021). Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam–A Multidisciplinary Approach. Journal of Disaster Research, 16(4), 501-511.
Pleterski, Ž., Kregar, K., & Urbančič, T. (2022). Geodetic datum determination for the urbas landslide geodetic network. Network, 536, 552.
Sahaidak, M., & Berlinsky, M. (2020). Monitoring the development of landslides in the territory of Melekyne settlement (Mangush district, Donetsk region). (In Ukraine).
Vivat, A., Tretyak, K., Savchyn, I., Lano, O., & Navodych, M. (2021, October). Analysis and comparison of static and RTK measurements: case study for GNSS network of the Dnister PSPP. In International Conference of Young Professionals «GeoTerrace-2021» (Vol. 2021, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
Vivat, A., Nazarchuk, N., Tserklevych, A., Petrov, S., Mandzuk, V., & Lebedenko, V. (2022, November). Development of the Landslides System Operational Monitoring Used Geodesy Equipment. In 16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment (Vol. 2022, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
Wang, H., Zhang, L., Luo, H., He, J., & Cheung, R. W. M. (2021). AI-powered landslide susceptibility assessment in Hong Kong. Engineering Geology, 288, 106103.