4.7 Article

Integrated Sentinel-1 InSAR and GNSS Time-Series Along the San Andreas Fault System

期刊

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021JB022579

关键词

InSAR GNSS integration; earthquake cycle; fault creep; crustal strain rate

资金

  1. NASA Earth Surface and Interior Program [80NSSC19K1043, NNX17AD99G]
  2. NASA MEaSUREs Program [NNH17ZDA001N]
  3. National Science Foundation, Office of Advanced Cyberinfrastructure [OAC1834807]
  4. Southern California Earthquake Center (SCEC) [20074]
  5. NSF [EAR-1033462]
  6. USGS Cooperative Agreement [G12AC20038]
  7. NASA [1002816, NNX17AD99G] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The article presents a methodology integrating InSAR and GNSS time series to measure surface displacements along the San Andreas fault system, revealing important signals in crustal deformation processes that are crucial in assessing seismic hazard.
Measuring crustal strain and seismic moment accumulation, is crucial for understanding the growth and distribution of seismic hazards along major fault systems. Here, we develop a methodology to integrate 4.5 years (2015-2019.5) of Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) and continuous Global Navigation Satellite System (GNSS) time series to achieve 6 to 12-day sampling of surface displacements at similar to 500 m spatial resolution over the entire San Andreas fault system. Numerous interesting deformation signals are identified with this product (video link: ). We decompose the line-of-sight InSAR displacements into three dimensions by combining the deformation azimuth from a GNSS-derived interseismic fault model. We then construct strain rate maps using a smoothing interpolator with constraints from elasticity. The resulting deformation field reveals a wide array of crustal deformation processes including, on- and off-fault secular and transient tectonic deformation, creep rates on all the major faults, and vertical signals associated with hydrological processes. The strain rate maps show significant off-fault components that were not captured by GNSS-only models. These results are important in assessing the seismic hazard in the region.

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