#IMC: September 14 - 18 2025

What can we detect using SB-InSAR data? – The slow degradation of Tyrolean mountains.

Assigned Session: FS 3.147: Monitoring, Assessment, and Multi-Scale Modeling of Landslides: Approaches for Hazard Analysis

Abstract ID: 3.12101 | Accepted as Talk | Talk/Oral | TBA | TBA

Maria Honisch (0)
Branke, Johannes (1), Keuschnig, Markus (3), Schneider-Muntau, Barbara (1)
Maria Honisch (1,2)
Branke, Johannes (1), Keuschnig, Markus (3), Schneider-Muntau, Barbara (1)

1,2
(1) University of Innsbruck, Technikerstraße 13, 6020, Innsbruck, Tirol, AT
(2) geo.zt gmbh, Saline 17, 6060 Hall in Tirol, AT
(3) Georesearch Forschungsgesellschaft mbH, Urstein Süd 15, 5412 Puch bei Hallein, AT

(1) University of Innsbruck, Technikerstraße 13, 6020, Innsbruck, Tirol, AT
(2) geo.zt gmbh, Saline 17, 6060 Hall in Tirol, AT
(3) Georesearch Forschungsgesellschaft mbH, Urstein Süd 15, 5412 Puch bei Hallein, AT

Categories: Fieldwork, Hazards, Monitoring, Multi-scale Modeling, Remote Sensing
Keywords: Mountain Hazards, SB-InSAR, landslides

Categories: Fieldwork, Hazards, Monitoring, Multi-scale Modeling, Remote Sensing
Keywords: Mountain Hazards, SB-InSAR, landslides

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Mountain regions are especially prone to the increasing impact of mass-movement processes. Anthropogenic forced climate change increasingly triggers landslides due to changes in precipitation occurrence and magnitude and hence in pore-water pressure. This endangers valley-confined infrastructure and livelihoods. With respect to two case studies, the advantages and limitations of an additional application of satellite-based interferometry synthetic aperture radar (SB-InSAR) data to the existing methods, such as laser scanning (LiDAR), photogrammetry, differential global navigation systems (DGNSS), electric resistivity tomography (ERT), seismic and inclinometer measurements, are discussed. SB-InSAR data exists since 1992 and covers nearly the whole globe. Depending on the mean displacement rates of landslides, SB-InSAR data can be used to monitor surface deformations. As the case studies “Reissenschuh” and “Padauner Berg” in Tyrol will show, the complementary usage of SB-InSAR data enhances process delineation, provides additional data coverage in remote areas and a high temporal resolution due to repeated measurements every five days.

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