Monitoring landslides using C-band interferometry. A case study: Dunaszekcső landslide, Southern Transdanubia, Hungary

• Autorzy: Kovács I. P. , Bugya T. , Czigány S. , Defilippi M. , Dobre B. , Fabian S. Á. , Lóczy D. , Riccardi P. , Ronczyk L. , Pasquali P.
• Języki publikacji: EN

Abstrakty

EN

As a tool for high precision deformation monitoring in broader areas, interferometric (In-SAR) time series of space-born Synthetic aperture radar (SAR) imagery are used. Nowadays, ERS, Envisat archives and Sentinel-1 images are open for the public to analyse slow moving landslides activated between 1990 and 2017. Since Sentinel-1 satellites are considered to be the workhorse of EO by the ESA during next decades, it is important to assess its applicability in landslide monitoring and mapping. In this paper, the southern part of Dunaszekcső village was analysed with PSI interferometric stacking algorithm, using SAR imagery. The advantages and limitations of the applied interferometric stacking techniques and sensors have been analysed, such as the movement history of the test site between 1992 and 2017. It was proven that Sentinel-1 PSI scatterers far exceeds the spatial coverage obtained by earlier sensors. Two orbital geometries of Sentinel-1 enabled larger spatial coverage and extract 2D displacements. The comparison of the two geometries, however, was only possible for small surfaces in the area of interest. The displacement data in the central part of the study site indicate the subsidence of the sliding block along the escarpment and in the east its movement towards the Danube. This displacement then triggered the uplift of the floodplain edges, or generated a slight eastward displacement.

Słowa kluczowe

EN

ERS; ENVISAT; Sentinel-1; PSI; landslide; high bluff

• Wydawca: Polska Akademia Umiejętności
• Czasopismo: Studia Geomorphologica Carpatho-Balcanica
• Rocznik: 2017/2018
• Tom: Vol. 51/52
• Strony: 87--105
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Kovács I. P.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Cartography and GIS, 7624 Pécs Ifjúság Str. 6., Hungary

autor

Bugya T.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Cartography and GIS, 7624 Pécs Ifjúság Str. 6., Hungary

autor

Czigány S.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Physical and Environmental Geography, 7624 Pécs Ifjúság Str. 6, Hungary

autor

Defilippi M.

• Sarmap SA, Cascio di Barico 10, Purasca, Switzerland

autor

Dobre B.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Cartography and GIS, 7624 Pécs Ifjúság Str. 6., Hungary

autor

Fabian S. Á.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Physical and Environmental Geography, 7624 Pécs Ifjúság Str. 6, Hungary

autor

Lóczy D.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Physical and Environmental Geography, 7624 Pécs Ifjúság Str. 6, Hungary

autor

Riccardi P.

• Sarmap SA, Cascio di Barico 10, Purasca, Switzerland

autor

Ronczyk L.

• University of Pécs, Faculty of Sciences, Institute of Geography and Earth Sciences, Dept. of Cartography and GIS, 7624 Pécs Ifjúság Str. 6., Hungary

autor

Pasquali P.

• Sarmap SA, Cascio di Barico 10, Purasca, Switzerland

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSWprzeznaczonych na działalność upowszechniającą naukę (2019).