A global archive of accessible, analysis-ready coseismic displacement products for earthquake science applications derived from SAR and optical datasets

Earthquakes originating near Earth’s surface pose significant hazards to human safety and infrastructure, as their associated surface deformation can result in widespread structural damage and loss of life. Improved characterization of surface deformation patterns and extents associated with shallow earthquakes–when paired with knowledge of the earthquake epicenter and magnitude–can provide critical insight into earthquake mechanisms, surface rupture processes, and aid in determination of damage proxy extents for disaster response and mitigation efforts. Spaceborne synthetic aperture radar (SAR) interferometry (InSAR), as well as pixel offset tracking of both SAR and optical imagery, can provide detailed measures of surface deformation occurring during an earthquake (i.e., “coseismic deformation”). The Advanced Rapid Imaging and Analysis (ARIA) project at the NASA Jet Propulsion Laboratory is currently developing a global archive of accessible, standardized, and analysis-ready coseismic displacement products derived from spaceborne SAR and optical datasets to facilitate more comprehensive studies of earthquake rupture processes and improve estimates for downstream rapid response efforts. Our product archive is unique from existing coseismic displacement product databases in terms of the data available, format, and accessibility. Our 30-meter resolution products are designed to be sensor-agnostic and are provided in standardized units and format for rapid integration into existing GIS platforms and modeling workflows with lower latency due to greater source data availability. Additionally, correction layers for solid-earth tides, ionospheric, and tropospheric propagation path delays are embedded with the analysis-ready products for the end-user. Integration of both SAR and optical datasets provide increased sensitivity to surface displacement via pixel offset tracking. Our workflow leverages the existing ARIA-HyP3 framework and capabilities to cost-effectively generate coseismic products in the cloud for the historic record of Sentinel-1 data availability (2014 - present), as well as for future large magnitude, shallow earthquake events meeting predefined significance thresholds. For these future events, our workflow will be automatically triggered and the resultant coseismic displacement products will be made available with low latency (<24 hours after source SAR/optical data are made available) to provide information about surface deformation and damage extents caused by the earthquake. In this presentation, we will demonstrate the product generation workflow and capabilities, as well as examples of earthquake science use-case and disaster response applications that showcase the advantages of our automated, standardized, and sensor-agnostic coseismic displacement products.