Emmy-Noether-Projekt "Brückenschlag zwischen Geodäsie und Seismologie"

InSAR Sensitivity Analysis of Tandem-L Mission for Modeling Volcanic and Seismic Deformation Sources

Ansari, H., Goel K., Parizzi A., Sudhaus, H., Adam, N., and Eineder, M., (2015)

Proceedings of ESA (SP-371), 1-8,

electronic library

Abstract

We assess the reliability of space-borne InSAR-derived deformation source parameters for volcanic and seismic events, with special focus on the future L-band data of the proposed Tandem-L mission [1-3].

Using representative simulation cases, the influence of certain characteristics of the InSAR measurements on the source model parameter precision is quantified. The performance drivers are assessed from two aspects: the data acquisition geometry as well as the measurement noise; in particular governed by signal coherence and superposed atmospheric signal.

The significance of each these governing noise components is shown to be dependent on the spatial scale of the geophysical signal of interest as well as the deformation source mechanism in question.

Here, we estimate the error bounds for the inferred source parameters as a function of the signal coherence and atmospheric signal parameters.


 

Geofon

SRCMOD - Database

    • Inversion modelling of geodetic (InSAR) and seismological data
    • earthquake slip complexity and co-seismic rupture history
    • Connecting earthquake models to observations
    • Kinematic earthquake source inversion

     

    In my research i am interested in how earthquakes ruptures behave and how and why earthquakes develop complex ruptures in space and time. Complex means that the earthquake ruptures e.g. across multiple fault planes with different geometries or slows down/accelerates in different areas. We know that earthquakes rupture with different degrees of complexity and we believe that larger earthquake rupture in more complex ways. This would however violate the common assumption of self-similarity of earthquakes across magnitudes. Often the choice of the modeled degree of complexity is however dependent on expert knowledge. Therefore i am looking for data driven ways to help us evaluate possibly rupture segmentation. Also I focus on small to medium sized earthquakes to investigate if we can resolve any complex ruptures from them or if they do not exhibit such behavior. I am using InSAR, GPS and seismological data.

    To asses the evolution of an earthquake rupture in time i have developed a multi-array backprojection code, which is available on github: Palantiri