Project Details
Description
SCEC5 Year 3 Research Collaboration at Arizona State University Rock Traits from Machine Learning: applications to precariously balanced rocks and fault scarps in Southern California Time-series analysis of fault creep rates within the Salton Trough of the Southern San Andreas Fault constrained from a decade of repeat-pass NASA UAVSAR radar imagery
| Status | Finished |
|---|---|
| Effective start/end date | 2/1/19 → 1/31/20 |
Funding
- DOI: US Geological Survey (USGS): $49,352.00
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