InSAR deformation detection through high resolution time series

Using standard satellite radar interferometry (InSAR) we attempt to detect surface displacements at faults at a precision of centimeters. For an even more precise signal analysis we propose to combine creepmeters at selected fault locations with advanced InSAR processing in order to resolve magnitude and temporal variability of fault slip at the millimeter scale. The combination of these methods together with modeling shall allow to investigate present fault displacement rates at various scales and to compare with the long term seismic cycle. Ultimately we want to develop an integrated model for episodic and permanent strain accumulation in the Chilean Forearc.

 

We use the complete catalogue of Synthetic Aperture Radar data from 1992-2010 available through the European ERS and ENVISAT satellite missions for the forearc target faults. SAR frames will be analyzed by applying a multi master time series generation to resolve temporal and spatial displacement changes across surface ruptures. To obtain a model-independent estimate of triggered deformation we will apply inverse dislocation source modeling and analyze model and data sensitivities and explore localized residuals and possible fault displacement occurrence. To obtain the residual displacement the dominant co-seismic signal will be removed by wavelet multiresolution analysis and time-frequency cross correlation. Furthermore, we will investigate volcano deformations and pattern recognition approaches for identifying the signals correlating with seismic cycle at the Chilean megathrust.

 

Participants
This e-mail address is being protected from spambots. You need JavaScript enabled to view it (PI), P. Victor, O. Oncken, M. Shirzaei, M. Motagh, J. Anderssohn