[unav_all] AGU Fall Meeting 2019 Session: Geodetic InSAR Time-series analysis; Applications and Uncertainty Quantification

Fattahi, Heresh (334K) heresh.fattahi at jpl.nasa.gov
Tue Jul 9 17:16:07 UTC 2019

Dear Colleagues,

We would like to draw your attention to the following session at the 2019 AGU fall meeting:

G004 - Geodetic InSAR Time-series analysis; Applications and Uncertainty Quantification

Invited Speakers:
Francesco DeZan, DLR (German Aerospace Center)
Juliett Biggs, University of Bristol

Session description:

Sentinel-1 and NISAR with their free and open data policy, as well as, their regular acquisition and global coverage, are unlocking the operational use of InSAR for studying various geophysical processes. Unfortunately many of the existing processing methods are challenged by the shear volume and high spatial-temporal sampling of these data. There is a clear need to efficiently explore the full capacity of modern SAR observations. We welcome contributions that focus on new methods and algorithms to efficiently process large InSAR stacks for time-series analysis (including those at full resolution), and approaches that aim at quantifying the uncertainty of InSAR displacement time-series due to processing, propagation delays, as well as, environmental and scattering effects. In addition we welcome application of these methods for tectonic and non-tectonic studies including but not limited to near fault observations and modeling, critical infrastructure monitoring, soil moisture, landslides, and subsidence.


Heresh Fattahi, Jet Propulsion Laboratory, Caltech
David Bekaert, Jet Propulsion Laboratory, Caltech
Rowena Lohman, Cornell University

Link for the abstract submission:


Thank you,
Heresh, David, and Rowena

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