Group A, Poster #081, Tectonic Geodesy

California InSAR time-series updates derived from sample OPERA DISP-S1 products: developments for ingestion and ongoing analysis from a new archive of open-source interferometric products

Simran S. Sangha, Gareth J. Funning, Marin Govorcin, & David Bekaert
Poster Image: 

Poster Presentation

2024 SCEC Annual Meeting, Poster #081, SCEC Contribution #13876 VIEW PDF
A range of studies employing Interferometric Synthetic Aperture Radar (InSAR) data to solve for interseismic deformation rates have highlighted the importance of using interferogram pairs with short spatial and temporal baselines as a means of reducing decorrelation. However, this conventional InSAR approach of exploiting the phase difference between two repeat-pass SAR single-look complex images (SLCs) is more prone to sources of noise and error unique to the constituent observations, which may obscure signals of interest.

Instead, time-series methods can be used to exploit a stack of co-registered SLC data to more reliably decrease decorrelation and show significantly less ...bias. The Jet Propulsion Laboratory (JPL) Observational Products for End-users from Remote Sensing Analysis (OPERA) project will utilize this approach for its upcoming Surface Displacement product (DISP), which will be freely distributed to the community through the NASA Data Active Archive Center at the Alaska Satellite Facility. To demonstrate its utility to the SCEC community in advance of the upcoming, official validated release of the Surface Displacement products from Sentinel-1 (DISP-S1) product in December 2024, we are participating as stakeholders of the OPERA DISP product suite as part of a co-development effort with the OPERA Stakeholder Engagement Program (SEP). Here, we present on efforts to generate interseismic line-of-sight velocities over southern California using sample (DISP-S1) products. We expand upon and update our existing workflows developed under previous SCEC efforts and methods to derive time-series and velocity products and align them to GNSS displacement time-series. We will make our developments publicly available to the community.
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Citation: Sangha, S. S., Funning, G. J., Govorcin, M., & Bekaert, D. (2024, 09). California InSAR time-series updates derived from sample OPERA DISP-S1 products: developments for ingestion and ongoing analysis from a new archive of open-source interferometric products. Poster Presentation at 2024 SCEC Annual Meeting.
Keywords: tectonics, insar, open-access
SCEC Award: 24081, 24074
Relevant SCEC Themes:
Improving Observations and Closing Data Gaps
Research Computing