Date Log

This work is licensed under a Creative Commons Attribution 4.0 International License.
InSAR-Based Monitoring of Ground Movements above Cavern Underground Gas Storage Sites: A Polish Case Study
Corresponding Author(s) : Aleksandra Kaczmarek
Geomatics and Environmental Engineering,
Vol. 20 No. 3 (2026): Geomatics and Environmental Engineering
Abstract
Ground displacement monitoring is a key aspect of assessing the impacts of underground gas storage (UGS). Conventional approaches are based on geodetic methods that, while providing high accuracy, are limited in spatial coverage and temporal resolution. This study assesses the suitability of synthetic aperture radar interferometry (InSAR) as a complement to standard ground displacement monitoring and identifies a method with sufficient accuracy to assess ground displacement conditions and facility safety. A comparative analysis was conducted using European Ground Motion Service (EGMS) data and independently derived Sentinel-1-based time series generated with the small baseline subset (SBAS) and persistent scatterer InSAR (PSI) methods. The analysis of a cavern UGS facility located in northern Poland spanned a five-year period from 2019 to 2023 and included error analysis and significance testing of differences between the methods. Observed displacement rates across the study area ranged from −4.3 mm/year for the SBAS method to −0.4 mm/year for PSI. Although the absolute values of the estimated velocities differed among the methods, the differences between the modeled deformation rates were statistically insignificant. The results confirm that InSAR can supplement geodetic monitoring and help investigate seasonal ground deformations associated with gas injection and withdrawal cycles as well as environmental processes, capturing patterns that discrete geodetic measurements may miss.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- Ikäheimo J., Lindroos T.J., Kiviluoma J.: Impact of climate and geological storage potential on feasibility of hydrogen fuels. Applied Energy, vol. 342, 2023, 121093. https://doi.org/10.1016/j.apenergy.2023.121093.
- Tackie-Otoo B.N., Haq M.B.: A comprehensive review on geo-storage of H2 in salt caverns: Prospect and research advances. Fuel, vol. 356, 2024, 129609. https://doi.org/10.1016/j.fuel.2023.129609.
- Fibbi G., Landini N., Intrieri E., Del Ventisette C., Del Soldato M.: Open-source InSAR data to detect ground displacement induced by underground gas storage reservoirs. Earth Systems and Environment, vol. 9(4), 2025, pp. 3083–3100. https://doi.org/10.1007/s41748-025-00593-3.
- Kaczmarek A., Blachowski J.: Remote sensing perspective on monitoring and predicting underground energy sources storage environmental impacts: Literature review. Remote Sensing, vol. 17(15), 2025, 2628. https://doi.org/10.3390/rs17152628.
- Xiao T., Chen T., Ma Z., Tian H., Meguerdijian S., Chen B., Pawar R., Huang L., Xu T., Cather M., McPherson B.: A review of risk and uncertainty assessment for geologic carbon storage. Renewable and Sustainable Energy Reviews, vol. 189, 2024, 113945. https://doi.org/10.1016/j.rser.2023.113945.
- Liu H., Yang C., Liu J., Hou Z., Xie Y., Shi X.: An overview of underground energy storage in porous media and development in China. Gas Science and Engineering, vol. 117, 2023, 205079. https://doi.org/10.1016/j.jgsce.2023.205079.
- National Research Council: Induced Seismicity Potential in Energy Technologies. The National Academies Press, Washington 2013. https://doi.org/10.17226/13355.
- Metz B., Davidson O., de Coninck H., Loos M., Meyer L. (eds.): IPCC Special Report on Carbon Dioxide Capture and Storage [prepared by Working Group III of the Intergovernmental Panel on Climate Change]. Cambridge University Press, Cambridge 2005.
- Evans D.J.: An appraisal of underground gas storage technologies and incidents, for the development of risk assessment methodology. British Geological Survey Open Report, OR/07/023, Keyworth, Nottingham 2007.
- Gong J., Li Z., Zhu Q., Sui H., Zhou Y.: Effects of various factors on the accuracy of DEMs: An intensive experimental investigation. Photogrammetric Engineering & Remote Sensing, vol. 66(8), 2000, pp. 1113–1117.
- Li M., Zhang H., Xing W., Hou Z., Were P.: Study of the relationship between surface subsidence and internal pressure in salt caverns. Environmental Earth Sciences, vol. 73(11), 2015, pp. 6899–6910. https://doi.org/10.1007/s12665-015-4405-8.
- Fibbi G., Montalti R., Del Soldato M., Cespa S., Ferretti A., Fanti R.: Unlocking the InSAR potential for managing underground gas storage in salt caverns. International Journal of Applied Earth Observation and Geoinformation, vol. 141, 2025, 104656. https://doi.org/10.1016/j.jag.2025.104656.
- Zhang T., Zhang W., Yang R., Cao D., Chen L., Li D., Meng L.: CO2 injection deformation monitoring based on UAV and InSAR technology: A case study of Shizhuang town, Shanxi province, China. Remote Sensing, vol. 14(1), 2022, 237. https://doi.org/10.3390/rs14010237.
- Ćwiąkała P., Gruszczyński W., Stoch T., Puniach E., Mrocheń D., Matwij W., Matwij K., Nędzka M., Sopata P., Wójcik A.: UAV applications for determination of land deformations caused by underground mining. Remote Sensing, vol. 12(11), 2020, 1733. https://doi.org/10.3390/rs12111733.
- Ren H., Zhao Y., Xiao W., Hu Z.: A review of UAV monitoring in mining areas: Current status and future perspectives. International Journal of Coal Science & Technology, vol. 6(3), 2019, pp. 320–333. https://doi.org/10.1007/s40789-019-00264-5.
- Pawlik M., Haske B., Flores H., Bernsdorf B., Rudolph T.: Towards a longterm unmanned aerial vehicle (UAV) monitoring framework for post-mining effects: Prosper-Haniel case. Mining, vol. 4(2), 2024, 211–229. https://doi.org/10.3390/mining4020013.
- Haske B., Rudolph T., Bernsdorf B., Pawlik M.: Innovative environmental monitoring methods using multispectral UAV and satellite data. First Break, vol. 42(2), 2024, pp. 41–47. https://doi.org/10.3997/1365-2397.fb2024012.
- Cigna F., Esquivel Ramírez R., Tapete D.: Accuracy of Sentinel-1 PSI and SBAS InSAR displacement velocities against GNSS and geodetic leveling monitoring data. Remote Sensing, vol. 13(23), 2021, 4800. https://doi.org/10.3390/rs13234800.
- Głąbicki D.: Displacement forecasting in mining areas using satellite SAR interferometry and machine learning. Wrocław University of Science and Technology, Wrocław 2023 [PhD thesis].
- Spreckels V., Engel T.: Set-up and application of multisensor-referencestations (MSST) for levelling, GNSS and InSAR in the former mining regions Saarland and Ruhrgebiet within Germany, [in:] 5th Joint International Symposium on Deformation Monitoring: JISDM 2022: Proceedings: 20–22 June 2022, Polytechnic City of Innovation, Valencia (Spain), Editorial Universitat Politècnica de València, Valencia 2023, pp. 645–658.
- Ferretti A., Tamburini A., Novali F., Fumagalli A., Falorni G., Rucci A.: Impact of high resolution radar imagery on reservoir monitoring. Energy Procedia, vol. 4, 2011, pp. 3465–3471. https://doi.org/10.1016/j.egypro.2011.02.272.
- Struhár J., Rapant P., Kačmařík M., Hlaváčová I., Lazecký M.: Monitoring non-linear ground motion above underground gas storage using GNSS and PSInSAR based on Sentinel-1 data. Remote Sensing, vol. 14(19), 2022, 4898. https://doi.org/10.3390/rs14194898.
- Fibbi G., Beni T., Fanti R., Del Soldato M.: Underground gas storage monitoring using free and open source InSAR data: A case study from Yela (Spain). Energies, vol. 16(17), 2023, 6392. https://doi.org/10.3390/en16176392.
- Priolo E., Zinno I., Guidarelli M., Romanelli M., Lanari R., Sandron D., Garbin M., Peruzza L., Romano M. A., Zuliani D., Tunini L., Magrin A.: The birth of an underground gas storage in a depleted gas reservoir – results from integrated seismic and ground deformation monitoring. Earth and Space Science, vol. 11(11), 2024, e2023EA003275. https://doi.org/10.1029/2023EA003275.
- Fibbi G., Novellino A., Bateson L., Fanti R., Del Soldato M.: Multidisciplinary assessment of seasonal ground displacements at the Hatfield Moors gas storage site in a peat bog landscape. Scientific Reports, vol. 14(1), 2024, 22521. https://doi.org/10.1038/s41598-024-73548-9.
- Li S., Xu E., Li Z.: Review of the SBAS InSAR time-series algorithms, applications, and challenges. Geodesy and Geodynamics, vol. 13(2), 2022, pp. 114–126. https://doi.org/10.1016/j.geog.2021.09.007.
- Ferretti A., Prati C., Rocca F.: Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, vol. 39(1), 2001, pp. 8–20. https://doi.org/10.1109/36.898661.
- Maghsoudi Y., Hooper A. J., Wright T. J., Lazecky M., Ansari H.: Characterizing and correcting phase biases in short-term, multilooked interferograms. Remote Sensing of Environment, vol. 275, 2022, 113022. https://doi.org/10.1016/j.rse.2022.113022.
- Marcinkowska A., Ochtyra A., Olędzki J.R., Wołk-Musiał E., Zagajewski B.: Mapa geomorfologiczna województw pomorskiego i warmińsko-mazurskiego z wykorzystaniem metod geoinformatycznych. Teledetekcja Środowiska, t. 49, 2013, pp. 43–79.
- Cała M., Cyran K., Kowalski M., Wilkosz P.: Influence of the anhydrite interbeds on a stability of the storage caverns in the Mechelinki salt deposit (northern Poland). Archives of Mining Sciences, vol. 63(4), 2018, pp. 1007–1025. https://doi.org/10.24425/ams.2018.124990.
- European Ground Motion Service (EGMS): Ortho – vertical component 2016-present (vector), Europe, yearly, Aug. 2022. EEA Geospatial Data Catalogue, 2022. https://doi.org/10.2909/4a14a29b-7db7-40e4-81ad-df3aa8dfbc6f [access: March 30, 2026].
- Costantini M., Minati F., Trillo F., Ferretti A., Novali F., Passera E., Dehls J., Larsen Y., Marinkovic P., Eineder M., Brcic R., Siegmund R., Kotzerke P., Probeck M., Kenyeres A., Proietti S., Solari L., Andersen H.S.: European Ground Motion Service (EGMS), [in:] IGARSS 2021 – 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings: 12–16 July, 2021, Virtual Symposium, Brussels, Belgium, IEEE, 2021, pp. 3293–3296. https://doi.org/10.1109/IGARSS47720.2021.9553562.
- Copernicus Land Monitoring Service: European Ground Motion Service. https://land.copernicus.eu/en/products/european-ground-motion-service?tab=overview [access: July 15, 2025].
- Copernicus Land Monitoring Service: European Ground Motion Service (EU-GMS) – A proposed Copernicus service element: White paper. September 21, 2017. https://land.copernicus.eu/en/products/european-ground-motion-service/egms-white-paper/@@download/file [access: July 15, 2025].
- Foumelis M., Blasco J. M. D., Desnos Y.-L., Engdahl M., Fernandez D., Veci L., Lu J., Wong C.: ESA SNAP – stamps integrated processing for Sentinel-1 persistent scatterer interferometry, [in:] IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium: Proceedings: July 22–27, 2018, Valencia, Spain, IEEE, 2018, pp. 1364–1367. https://doi.org/10.1109/IGARSS.2018.8519545.
- Berardino P., Fornaro G., Lanari R., Sansosti E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, vol. 40(11), 2003, pp. 2375–2383. https://doi.org/10.1109/TGRS.2002.803792.
- Yunjun Z., Fattahi H., Amelung F.: Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction. Computers & Geosciences, vol. 133, 2019, 104331. https://doi.org/10.1016/j.cageo.2019.104331.
- Wright T.J., Parsons B.E., Lu Z.: Toward mapping surface deformation in three dimensions using InSAR. Geophysical Research Letters, vol. 31(1), 2004, L01607. https://doi.org/10.1029/2003GL018827.
- Fuhrmann T., Garthwaite M.C.: Resolving three-dimensional surface motion with InSAR: Constraints from multi-geometry data fusion. Remote Sensing, vol. 11(3), 2019, 241. https://doi.org/10.3390/rs11030241.
- Karami E., Shami S., Maghsoudi Y., Ranjgar B., Azadnejad S.: Investigating the InSAR phase bias in the SBAS algorithm and its effect on different landcovers. IEEE Access, vol. 13, 2025, pp. 82514–82526. https://doi.org/10.1109/ACCESS.2025.3568144.
- Kowalczyk K.: Cały kraj się obsuwa. Geodeta, vol. 8(135), 2006, pp. 45–48.
- Cardello G.L., Barreca G., Monaco C., de Michele M., Antonioli R.: First comparison of subsidence/uplift rates between Copernicus European Ground Motion Service data and long-term MIS 5.5 geological record in Mediterranean regions. Earth-Science Reviews, vol. 265, 2025, 105132. https://doi.org/10.1016/j.earscirev.2025.105132.
- Even M., Westerhaus M., Kutterer H.: German and European Ground Motion Service: A comparison. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, vol. 92(3), 2024, pp. 253–270. https://doi.org/10.1007/s41064-024-00273-3.
- Vradi A., Sala J., Solari L., Balasis-Levinsen J.: Validating the European Ground Motion Service: An assessment of measurement point density. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVIII-4-W7-2023, 2023, pp. 247–252. https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-247-2023.
- Chrzanowski A., Szostak-Chrzanowski A., Bastin G., Lutes J.: Monitoring and modelling of ground subsidence in mining areas – case studies. Geomatica, vol. 54(4), 2000, pp. 405–413. https://doi.org/10.5623/geomat-2000-0056.
- Kortas G., Maj A.: Deformations of the protection shelf in the “Wapno” Salt Mine, based on model studies. Archives of Mining Sciences, vol. 59(4), 2014, pp. 869–886. https://doi.org/10.2478/amsc-2014-0060.
- Hejmanowski R., Malinowska A.: Land subsidence inversion method application for salt mining-induced rock mass movement. Gospodarka Surowcami Mineralnymi – Mineral Resources Management, vol. 33(3), 2017, pp. 179–200. https://doi.org/10.1515/gospo-2017-0034.
- Maj A.: Pomiar ruchu górotworu w kopalniach soli. Prace Instytutu Mechaniki Górotworu PAN, vol. 24(1–4), 2022, pp. 61–70.
- Kim T.T.H., Tran H.H., Bui K.L., Lipecki T.: Mining-induced land subsidence detected by Sentinel-1 SAR images: An example from the historical Tadeusz Kościuszko salt mine at Wapno, Greater Poland Voivodeship, Poland. Inżynieria Mineralna – Journal of the Polish Mineral Engineering Society, vol. 1(2), 2021. https://doi.org/10.29227/IM-2021-02-04.
References
Ikäheimo J., Lindroos T.J., Kiviluoma J.: Impact of climate and geological storage potential on feasibility of hydrogen fuels. Applied Energy, vol. 342, 2023, 121093. https://doi.org/10.1016/j.apenergy.2023.121093.
Tackie-Otoo B.N., Haq M.B.: A comprehensive review on geo-storage of H2 in salt caverns: Prospect and research advances. Fuel, vol. 356, 2024, 129609. https://doi.org/10.1016/j.fuel.2023.129609.
Fibbi G., Landini N., Intrieri E., Del Ventisette C., Del Soldato M.: Open-source InSAR data to detect ground displacement induced by underground gas storage reservoirs. Earth Systems and Environment, vol. 9(4), 2025, pp. 3083–3100. https://doi.org/10.1007/s41748-025-00593-3.
Kaczmarek A., Blachowski J.: Remote sensing perspective on monitoring and predicting underground energy sources storage environmental impacts: Literature review. Remote Sensing, vol. 17(15), 2025, 2628. https://doi.org/10.3390/rs17152628.
Xiao T., Chen T., Ma Z., Tian H., Meguerdijian S., Chen B., Pawar R., Huang L., Xu T., Cather M., McPherson B.: A review of risk and uncertainty assessment for geologic carbon storage. Renewable and Sustainable Energy Reviews, vol. 189, 2024, 113945. https://doi.org/10.1016/j.rser.2023.113945.
Liu H., Yang C., Liu J., Hou Z., Xie Y., Shi X.: An overview of underground energy storage in porous media and development in China. Gas Science and Engineering, vol. 117, 2023, 205079. https://doi.org/10.1016/j.jgsce.2023.205079.
National Research Council: Induced Seismicity Potential in Energy Technologies. The National Academies Press, Washington 2013. https://doi.org/10.17226/13355.
Metz B., Davidson O., de Coninck H., Loos M., Meyer L. (eds.): IPCC Special Report on Carbon Dioxide Capture and Storage [prepared by Working Group III of the Intergovernmental Panel on Climate Change]. Cambridge University Press, Cambridge 2005.
Evans D.J.: An appraisal of underground gas storage technologies and incidents, for the development of risk assessment methodology. British Geological Survey Open Report, OR/07/023, Keyworth, Nottingham 2007.
Gong J., Li Z., Zhu Q., Sui H., Zhou Y.: Effects of various factors on the accuracy of DEMs: An intensive experimental investigation. Photogrammetric Engineering & Remote Sensing, vol. 66(8), 2000, pp. 1113–1117.
Li M., Zhang H., Xing W., Hou Z., Were P.: Study of the relationship between surface subsidence and internal pressure in salt caverns. Environmental Earth Sciences, vol. 73(11), 2015, pp. 6899–6910. https://doi.org/10.1007/s12665-015-4405-8.
Fibbi G., Montalti R., Del Soldato M., Cespa S., Ferretti A., Fanti R.: Unlocking the InSAR potential for managing underground gas storage in salt caverns. International Journal of Applied Earth Observation and Geoinformation, vol. 141, 2025, 104656. https://doi.org/10.1016/j.jag.2025.104656.
Zhang T., Zhang W., Yang R., Cao D., Chen L., Li D., Meng L.: CO2 injection deformation monitoring based on UAV and InSAR technology: A case study of Shizhuang town, Shanxi province, China. Remote Sensing, vol. 14(1), 2022, 237. https://doi.org/10.3390/rs14010237.
Ćwiąkała P., Gruszczyński W., Stoch T., Puniach E., Mrocheń D., Matwij W., Matwij K., Nędzka M., Sopata P., Wójcik A.: UAV applications for determination of land deformations caused by underground mining. Remote Sensing, vol. 12(11), 2020, 1733. https://doi.org/10.3390/rs12111733.
Ren H., Zhao Y., Xiao W., Hu Z.: A review of UAV monitoring in mining areas: Current status and future perspectives. International Journal of Coal Science & Technology, vol. 6(3), 2019, pp. 320–333. https://doi.org/10.1007/s40789-019-00264-5.
Pawlik M., Haske B., Flores H., Bernsdorf B., Rudolph T.: Towards a longterm unmanned aerial vehicle (UAV) monitoring framework for post-mining effects: Prosper-Haniel case. Mining, vol. 4(2), 2024, 211–229. https://doi.org/10.3390/mining4020013.
Haske B., Rudolph T., Bernsdorf B., Pawlik M.: Innovative environmental monitoring methods using multispectral UAV and satellite data. First Break, vol. 42(2), 2024, pp. 41–47. https://doi.org/10.3997/1365-2397.fb2024012.
Cigna F., Esquivel Ramírez R., Tapete D.: Accuracy of Sentinel-1 PSI and SBAS InSAR displacement velocities against GNSS and geodetic leveling monitoring data. Remote Sensing, vol. 13(23), 2021, 4800. https://doi.org/10.3390/rs13234800.
Głąbicki D.: Displacement forecasting in mining areas using satellite SAR interferometry and machine learning. Wrocław University of Science and Technology, Wrocław 2023 [PhD thesis].
Spreckels V., Engel T.: Set-up and application of multisensor-referencestations (MSST) for levelling, GNSS and InSAR in the former mining regions Saarland and Ruhrgebiet within Germany, [in:] 5th Joint International Symposium on Deformation Monitoring: JISDM 2022: Proceedings: 20–22 June 2022, Polytechnic City of Innovation, Valencia (Spain), Editorial Universitat Politècnica de València, Valencia 2023, pp. 645–658.
Ferretti A., Tamburini A., Novali F., Fumagalli A., Falorni G., Rucci A.: Impact of high resolution radar imagery on reservoir monitoring. Energy Procedia, vol. 4, 2011, pp. 3465–3471. https://doi.org/10.1016/j.egypro.2011.02.272.
Struhár J., Rapant P., Kačmařík M., Hlaváčová I., Lazecký M.: Monitoring non-linear ground motion above underground gas storage using GNSS and PSInSAR based on Sentinel-1 data. Remote Sensing, vol. 14(19), 2022, 4898. https://doi.org/10.3390/rs14194898.
Fibbi G., Beni T., Fanti R., Del Soldato M.: Underground gas storage monitoring using free and open source InSAR data: A case study from Yela (Spain). Energies, vol. 16(17), 2023, 6392. https://doi.org/10.3390/en16176392.
Priolo E., Zinno I., Guidarelli M., Romanelli M., Lanari R., Sandron D., Garbin M., Peruzza L., Romano M. A., Zuliani D., Tunini L., Magrin A.: The birth of an underground gas storage in a depleted gas reservoir – results from integrated seismic and ground deformation monitoring. Earth and Space Science, vol. 11(11), 2024, e2023EA003275. https://doi.org/10.1029/2023EA003275.
Fibbi G., Novellino A., Bateson L., Fanti R., Del Soldato M.: Multidisciplinary assessment of seasonal ground displacements at the Hatfield Moors gas storage site in a peat bog landscape. Scientific Reports, vol. 14(1), 2024, 22521. https://doi.org/10.1038/s41598-024-73548-9.
Li S., Xu E., Li Z.: Review of the SBAS InSAR time-series algorithms, applications, and challenges. Geodesy and Geodynamics, vol. 13(2), 2022, pp. 114–126. https://doi.org/10.1016/j.geog.2021.09.007.
Ferretti A., Prati C., Rocca F.: Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, vol. 39(1), 2001, pp. 8–20. https://doi.org/10.1109/36.898661.
Maghsoudi Y., Hooper A. J., Wright T. J., Lazecky M., Ansari H.: Characterizing and correcting phase biases in short-term, multilooked interferograms. Remote Sensing of Environment, vol. 275, 2022, 113022. https://doi.org/10.1016/j.rse.2022.113022.
Marcinkowska A., Ochtyra A., Olędzki J.R., Wołk-Musiał E., Zagajewski B.: Mapa geomorfologiczna województw pomorskiego i warmińsko-mazurskiego z wykorzystaniem metod geoinformatycznych. Teledetekcja Środowiska, t. 49, 2013, pp. 43–79.
Cała M., Cyran K., Kowalski M., Wilkosz P.: Influence of the anhydrite interbeds on a stability of the storage caverns in the Mechelinki salt deposit (northern Poland). Archives of Mining Sciences, vol. 63(4), 2018, pp. 1007–1025. https://doi.org/10.24425/ams.2018.124990.
European Ground Motion Service (EGMS): Ortho – vertical component 2016-present (vector), Europe, yearly, Aug. 2022. EEA Geospatial Data Catalogue, 2022. https://doi.org/10.2909/4a14a29b-7db7-40e4-81ad-df3aa8dfbc6f [access: March 30, 2026].
Costantini M., Minati F., Trillo F., Ferretti A., Novali F., Passera E., Dehls J., Larsen Y., Marinkovic P., Eineder M., Brcic R., Siegmund R., Kotzerke P., Probeck M., Kenyeres A., Proietti S., Solari L., Andersen H.S.: European Ground Motion Service (EGMS), [in:] IGARSS 2021 – 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings: 12–16 July, 2021, Virtual Symposium, Brussels, Belgium, IEEE, 2021, pp. 3293–3296. https://doi.org/10.1109/IGARSS47720.2021.9553562.
Copernicus Land Monitoring Service: European Ground Motion Service. https://land.copernicus.eu/en/products/european-ground-motion-service?tab=overview [access: July 15, 2025].
Copernicus Land Monitoring Service: European Ground Motion Service (EU-GMS) – A proposed Copernicus service element: White paper. September 21, 2017. https://land.copernicus.eu/en/products/european-ground-motion-service/egms-white-paper/@@download/file [access: July 15, 2025].
Foumelis M., Blasco J. M. D., Desnos Y.-L., Engdahl M., Fernandez D., Veci L., Lu J., Wong C.: ESA SNAP – stamps integrated processing for Sentinel-1 persistent scatterer interferometry, [in:] IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium: Proceedings: July 22–27, 2018, Valencia, Spain, IEEE, 2018, pp. 1364–1367. https://doi.org/10.1109/IGARSS.2018.8519545.
Berardino P., Fornaro G., Lanari R., Sansosti E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, vol. 40(11), 2003, pp. 2375–2383. https://doi.org/10.1109/TGRS.2002.803792.
Yunjun Z., Fattahi H., Amelung F.: Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction. Computers & Geosciences, vol. 133, 2019, 104331. https://doi.org/10.1016/j.cageo.2019.104331.
Wright T.J., Parsons B.E., Lu Z.: Toward mapping surface deformation in three dimensions using InSAR. Geophysical Research Letters, vol. 31(1), 2004, L01607. https://doi.org/10.1029/2003GL018827.
Fuhrmann T., Garthwaite M.C.: Resolving three-dimensional surface motion with InSAR: Constraints from multi-geometry data fusion. Remote Sensing, vol. 11(3), 2019, 241. https://doi.org/10.3390/rs11030241.
Karami E., Shami S., Maghsoudi Y., Ranjgar B., Azadnejad S.: Investigating the InSAR phase bias in the SBAS algorithm and its effect on different landcovers. IEEE Access, vol. 13, 2025, pp. 82514–82526. https://doi.org/10.1109/ACCESS.2025.3568144.
Kowalczyk K.: Cały kraj się obsuwa. Geodeta, vol. 8(135), 2006, pp. 45–48.
Cardello G.L., Barreca G., Monaco C., de Michele M., Antonioli R.: First comparison of subsidence/uplift rates between Copernicus European Ground Motion Service data and long-term MIS 5.5 geological record in Mediterranean regions. Earth-Science Reviews, vol. 265, 2025, 105132. https://doi.org/10.1016/j.earscirev.2025.105132.
Even M., Westerhaus M., Kutterer H.: German and European Ground Motion Service: A comparison. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, vol. 92(3), 2024, pp. 253–270. https://doi.org/10.1007/s41064-024-00273-3.
Vradi A., Sala J., Solari L., Balasis-Levinsen J.: Validating the European Ground Motion Service: An assessment of measurement point density. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVIII-4-W7-2023, 2023, pp. 247–252. https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-247-2023.
Chrzanowski A., Szostak-Chrzanowski A., Bastin G., Lutes J.: Monitoring and modelling of ground subsidence in mining areas – case studies. Geomatica, vol. 54(4), 2000, pp. 405–413. https://doi.org/10.5623/geomat-2000-0056.
Kortas G., Maj A.: Deformations of the protection shelf in the “Wapno” Salt Mine, based on model studies. Archives of Mining Sciences, vol. 59(4), 2014, pp. 869–886. https://doi.org/10.2478/amsc-2014-0060.
Hejmanowski R., Malinowska A.: Land subsidence inversion method application for salt mining-induced rock mass movement. Gospodarka Surowcami Mineralnymi – Mineral Resources Management, vol. 33(3), 2017, pp. 179–200. https://doi.org/10.1515/gospo-2017-0034.
Maj A.: Pomiar ruchu górotworu w kopalniach soli. Prace Instytutu Mechaniki Górotworu PAN, vol. 24(1–4), 2022, pp. 61–70.
Kim T.T.H., Tran H.H., Bui K.L., Lipecki T.: Mining-induced land subsidence detected by Sentinel-1 SAR images: An example from the historical Tadeusz Kościuszko salt mine at Wapno, Greater Poland Voivodeship, Poland. Inżynieria Mineralna – Journal of the Polish Mineral Engineering Society, vol. 1(2), 2021. https://doi.org/10.29227/IM-2021-02-04.