Final Report: USGS NEHRP Project G17AP00010 Project Title: Automated fault mapping of the North America-Pacific plate boundary using airborne laser swath mapping (ALSM) data George Hilley and Robert Sare Department of Geological Sciences Stanford University Stanford, CA 94305-2115 email:
[email protected] voice: (650) 723-3782 fax: (650) 725-0979 Term of Award: January 1, 2017-December 30, 2019 Abstract Fault scarps and fault-related landforms provide important information about fault zone ac- tivity over timescales that are not captured by instrumental measurements or historic records. Semi-automated methods for delineating these landforms using topographic data from light detection and ranging (lidar) and spaceborne imaging systems offer the opportunity to charac- terize fault zones on a global scale. This project explored a computationally efficient method for extracting scarp-like landforms from high-resolution (≤ 2 m), regional-scale (≥ 100-km-long) digital topographic datasets. We identified fault-related landforms using a curvature template based on the diffusion model for scarp degradation and extract scarp heights and morphologic ages at each pixel. The method was applied to the GeoEarthScope Northern California dataset, an airborne lidar acquisition imaging nearly 2500 km2 of the northern San Andreas fault sys- tem, by adapting the algorithm to use cloud computing resources. Template results and fault trace mapping show spatial agreement in active fault zones with clear topographic expression, including detection of fault scarps, shutter ridges, and elongated drainages. Comparison of the method against field-based morphologic dating of scarps along the southern San Andreas re- veals a trade-off between template window size and morphologic age contrasts resolved between strike-slip fault scarps of different relative ages.