Vertical displacement monitoring technique using radar interferometry data


  • Tetiana Orlenko Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara Str., 55-b, Kyiv, 01054, Ukraine



displacements, radar images, differential radar interferometry, vertical displacements, digital terrain model


All phenomena and processes occurring on the Earth's surface are closely related. Earth is characterized by internal and external planetary geological processes, which, throughout the entire geological development of the Earth, lead to its change. The speed and scale of geological processes change in time and space due to climatic changes. Changes are divided into long-term and momentary ones, which cause catastrophic phenomena, including landslides. An essential component of geoecological research is monitoring landslide processes using data from remote sensing of the Earth. The possibility of remote geoecological monitoring of landslide processes using satellite radar interferometry has been investigated, tested and experimentally substantiated. The right bank of the Kaniv Reservoir, with many registered landslides, was chosen as the test site. The results of the activity of vertical displacements of landslides for the spring period from 2015 to 2023 were obtained. Nine test sites and five control, stable areas affected by active surface deformations were investigated using 45 Sentinel-1A images. Geoecological monitoring of the activation of landslide processes at a detailed level was carried out using Sentinel-1 satellite images, a digital terrain model (DEM), topographic maps of various scales, and geological maps of Quaternary and pre-Quaternary structures. The advantage of the study of landslide processes by remote methods is the ability to quickly, on large areas, with relatively high accuracy and minimal economic costs, solve the problems of environmental protection to ensure the sustainable development of the environment and society.


Bamler, R., Adam, N., Davidson, G. W. and Just, D. Noise-induced slope distortion in 2-D phase unwrapping by linear estimators with application to SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing 36(3), 913-921. https://doi: 10.1109/36.673682.

Bejar-Pizarro M, Notti D, Mateos RM, Ezquerro P, Centolanza G, Herrera G, Bru G, Sanabria M, Solari L, Duro J, Fernández J (2017) Mapping vulnerable urban areas afected by slow-moving landslides using Sentinel-1 InSAR Data. Remote Sens 9,876–893.

Bespalova, O. M. (2001). Types of landslide displacements of the right bank of the Middle Dnieper as a reflection of the microstructure of clayey soils. Collection of scientific papers of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, 82-90.

Casagli N, Cigna F, Bianchini S, Hölbling D, Füreder P, Righini G, Del Conte S, Friedl B, Schneiderbauer S, Iasio C, Vlčko J, Greif V, Proske H, Granica K, Falco S, Lozzi S, Mora O, Arnaud A, Novali F, Bianchi M (2016) Landslide mapping and monitoring by using radar and optical remote sensing: examples from the EC-FP7 project SAFER. Remote Sens Appl Soc Environ 4,92–108. https://doi. org/10.1016/j.rsase.2016.07.001.

Costantini, M. (1998) A novel phase unwrapping method based on network programming, IEEE Transactions on Geoscience and Remote Sensing 36(3), 813-821. https://doi: 10.1109/36.673674.

Demchyshyn M.G., (1991). Geological environment of Kyiv. Geologichnjj zhurnal 2 (257), 14-24.

Engdahl, M., Veci, L., Lu, J., Fomferra, N., Pratts-Iraola, P., Foumelis, M. (2017) ‘SNAP and the Sentinel-1 Toolbox for TOPS Interferometry’ In Abstract Book of 10th International Workshop on Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR (Fringe 2017), Helsinki: ESA , 6 p.

Ferretti, C. Prati and F. Rocca, "Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry," IEEETransactions on Geoscience and Remote Sensing, 38(5), 2202-2212. https://doi: 10.1109/36.868878.

Herrera, G., Gutiérrez, F., García-Davalillo, J. C., Guerrero, J., Notti, D., Galve, J. P., Cooksley, G. (2013). Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley Case Study (central spanish pyrenees). Remote Sensing of Environment, 128, 31-43. https://doi:10.1016/j.rse.2012.09.020.

Hein, A. (2004). Processing of SAR Data Fundamentals, Signal Processing, interferometry. Berlin: Springer.

Kril T., Shekhunova S. (2019). Terrain elevation changes by radar satellite images interpretation as a component of geo-environmental monitoring. 13th International Conference on Monitoring of Geological Processes and Ecological Condition of the Environment https://doi 10.3997/2214-4609.201903176.

Lishchenko L. P. Pazynych N. V., Teremenko O. M. (2014). Study of landslide processes on Kyiv's territory in remote monitoring mode. Ukrainian Journal of Remote Sensing. 2, 2014, 29-34.

Lishchenko L.P., Pazynych N.V., Filipovych V.E. (2017). Satellite monitoring of the development of landslide processes in the Dnieper zone of Kyiv. Ukrainian Journal of Remote Sensing 15, 11-22.

Peltzer G., Rosen P.A. (1995) Surface displacement of the 17 May 1993 Eureka Valley, California, earthquake observed by SAR interferometry. Science 268, 1333-1336.

Rott, H., & Nagler, T. (2006). The contribution of radar interferometry to the assessment of landslide hazards. Advances in Space Research, 37(4), 710–719. https://doi:10.1016/j.asr.2005.06.059.

Stankevich, S., Piestova, I., Titarenko, O., Filipovych, V., Samberg, A., Dudar, T.; Svideniuk, M. (2018). Urban area geodynamic risk mapping using long-term time series of sentinel-1 satellite radar interferometry. Information Security: An International Journal 40(1), 39-50. https://doi:10.11610/isij.4003.

Wang, Y., Zhang, K., Gong, F., Mu, J., Liu, S. (2021). Interferometric phase reconstruction based on probability generative model: Toward efficient analysis of high-dimensional SAR stacks. Remote Sensing, 13(12), 2369. https://doi:10.3390/rs13122369





Techniques for Earth observation data acquisition, processing and interpretation