Measurement of deformations of the earth's surface from space

Determination of local and regional deformations of the earth's surface by interferometric processing of radar data from satellite-based systems
The InSAR (Interferometric Synthetic Aperture Radar) research area focuses on the interferometric analysis of radar data from satellite-based measurement systems with the goal of deriving the displacement field on the Earth's surface. The data used consists of radar data at specific wavelengths—typically X-, C-, or L-band—collected using a fixed acquisition geometry over a period of several years.
At GIK, the focus is on methods suitable for the large-scale detection of ground movements caused by geophysical phenomena or human activity. Important information can be obtained where temporally stable radar reflectors are present (primarily on buildings, rocks, or bare ground). The simultaneous interferometric analysis of a large number of radar images yields displacement fields with high spatial resolution and accuracies in the range of a few millimeters, measured along the line of sight between the ground point and the radar antenna. By combining InSAR displacement fields in the line-of-sight from different orbits with GNSS data, leveling data, or a model of the movement phenomenon, 3D displacement fields can be derived.
Research on InSAR at GIK focuses on developing improved methods for applications in Earth observation and infrastructure monitoring, which are being developed for interdisciplinary projects and in collaboration with government agencies.
 
Oberrheingraben
Recent geodynamics of the Upper Rhine Graben

Derivation of regional surface movements from leveling, GNSS and SAR interferometry

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DAMAST
Monitoring large dams

Deformation measurements at the Enguri Dam in Georgia

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SUBI
Security of underground storages

Surface movements over the Epe cavern field measured from space

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Video
Risks of mine flooding

Surface movements in Saarland and Ruhr area due to mine water rebound

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Insight
Subsurface Deformations due to Induced Seismicity

Using a combination of InSAR, GNSS and levelling data to monitor subsurface deformations due to induced seismicity near geothermal wells

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Visualisation of a neural network for PS-InSAR
AI for InSAR

Identifying Distributed Scatterers with Deep Convolutional Neural Networks

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Grafik GIK
Regional ground motion observation

A ground motion observation system for Baden-Württemberg

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