ORIGINAL ARTICLE
Influence of reference stations on the stability of the geodetic control network during deformation determination in the area of Kadzielnia in Kielce
 
 
More details
Hide details
1
Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314, Kielce, Poland
 
 
Submission date: 2023-01-15
 
 
Acceptance date: 2023-05-29
 
 
Online publication date: 2023-06-29
 
 
Publication date: 2023-06-01
 
 
Reports on Geodesy and Geoinformatics 2023;115:19-26
 
KEYWORDS
ABSTRACT
Observations of land surface deformation are one of the important tasks of surveying, especially in landslide areas. They concern the determination in time of the magnitude of the deformation, on the basis of a stable reference system based on a geodetic control points. The whole measurement process can be divided into two parts. One part concerns the observation of reference points (geodetic control points) and the other the observation of the object itself. In the first, in addition to classical methods, GNSS (Global Navigation Satellite System) techniques based on reference stations are used. In the second, common observation methods such as laser scanning or photogrammetric methods using Unmanned Aerial Vehicles (UAV) are used. These observations are carried out in a specific time period in relation to the aforementioned geodetic control points. An area such as Kadzielnia in Kielce is covered by a long-term observation programme. A key element is the survey of the constancy of the geodetic control points, which are located in the epicentre of the survey. The survey of the constancy of the control points at Kadzielnia was based on a static method using SmartNet stations. Taking into account the fact that reference stations are treated as error-free reference points and that they operate 24 hours a day, it was decided to study the variability of their position over a longer period of time, as well as to determine the influence on the geodetic control points and to observe the deformation of the object during the measurement cycles.
 
REFERENCES (17)
1.
Banasik, P., Góral, W., Kudrys, J., and Skorupa, B. (2008). Modern Methods of GPS Usage in Geodesy. AGH Publishing House, Cracow.
 
2.
Barbarella, M. and Fiani, M. (2013). Monitoring of large landslides by terrestrial laser scanning techniques: field data collection and processing. European Journal of remote sensing, 46(1):126–151, doi:10.5721/EuJRS20134608.
 
3.
EPNACC WAT (2023). GNSS Data Research Infrastructure Centre. Co-funded by the ERDF. Last accessed January 2023.
 
4.
Figurski, M., Szafranek, K., Bogusz, J., and Kamiński, P. (2010). Investigation on stability of mountainous EUPOS sites’ coordinates. Acta Geodynamica et Geomaterialia, 7(3):263–274.
 
5.
Garus, R., Szczałubow, D., and Szczałubow, W. (2007). Illustrated guide to Kielce. Agencja JP, Kielce.
 
6.
Jarosiński, M., Araszkiewicz, A., Bobek, K., and Gogołek, T. (2022). Contemporary state of stress in a stable plate interior (northern Poland): The integration of satellite geodesy, borehole and seismological data. Tectonophysics, 831:229336, doi:10.1016/j.tecto.2022.229336.
 
7.
Krawczyk, K. (2021). Geodetic monitoring of hazards and inventory of protected natural areas in the process of their reclamation and revitalisation. PhD thesis, Faculty of Mining Geodesy and Environmental Engineering, AGH University of Science and Technology, Cracow.
 
8.
Krawczyk, K. (2022). Geodetic Programme of Observation of the Kadzielnia Nature Reserve in Kielce. In Wolski, B. and Cienciała, A., editors, Acquisition of Geodetic Data for the Needs of Spatial Management of the Świętokrzyskie Region. Kielce.
 
9.
Kumar, N. and Ramesh, M. V. (2022). Accurate iot based slope instability sensing system for landslide detection. IEEE Sensors Journal, 22(17):17151–17161, doi:10.1109/JSEN.2022.3189903.
 
10.
Maciaszek, J., Gawałkiewicz, R., and Szafarczyk, A. (2015). Geodetic methods for the study of landslides. AGH Publishing House, Cracow.
 
11.
National Geological Institute (2008). Manual for compiling the Map of landslides and areas at risk of mass movements.
 
12.
Savchuk, S., Khoptar, A., and Sosonka, I. (2020). Processing of a regional networkof GNSS stations by the PPP method. In Ćwiklak, J., editor, Selected Aspects of Air Navigation Security. LAW Publishing, Deblin.
 
13.
Savchuk, S. and Tadyeyev, O. (2020). Method for monitoring of modern reference systems in their relationship with geodynamics. In Ćwiklak, J., editor, Selected Aspects of Air Navigation Security. LAW Publishing, Deblin.
 
14.
Tiwari, A., Narayan, A., Devara, M., Dwivedi, R., and Dikshit, O. (2018). Multi-sensor geodetic approach for landslide detection and monitoring. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People”, 20–23 November 2018, Dehradun, India, volume IV, pages 287–292. Copernicus GmbH, doi:10.5194/isprs-annals-IV-5-287-2018.
 
15.
Xiong, J., Chen, H.-y., Zeng, L., Su, F.-h., Gong, L.-f., and Tang, C.-x. (2023). Coseismic landslide sediment increased by the “9.5” luding earthquake, sichuan, china. Journal of Mountain Science, 20:624–636, doi:10.1007/s11629-022-7770-2.
 
16.
Yadav, R. K., Gahalaut, V., Gautam, P. K., Jayangondaperumal, R., Sreejith, K., Singh, I., Kumar, A., Joevivek, V., Agrawal, R., Catherine, J. K., et al. (2020). Geodetic monitoring of landslide movement at two sites in the garhwal himalaya. Himalayan Geology, 41(1):21–30.
 
17.
Yu, C., Huo, J., Li, C., and Zhang, Y. (2022). Landslide displacement prediction based on a two-stage combined deep learning model under small sample condition. Remote Sensing, 14(15):3732, doi:10.3390/rs14153732.
 
eISSN:2391-8152
ISSN:2391-8365
Journals System - logo
Scroll to top