Project Title: Tectonic Geomorphology Using High Resolution Topographic Data in Northern California
Mendenhall Fellow: Steve DeLong, (650) 329-5648, firstname.lastname@example.org
Duty Station: Menlo Park, CA
Start Date: October 13, 2008
Education: Ph.D. 2006, University of Arizona, Geosciences
Research Advisors: Carol Prentice, (650) 329-5690, email@example.com; George Hilley, (650) 723-2782, firstname.lastname@example.org (Stanford University), Gerald Bawden, (916) 278-3131, email@example.com; David Phillips, (303) 381-7471, firstname.lastname@example.org (UNAVCO)
Project Description: The recent release of GeoEarthScope high-resolution airborne LiDAR topographic data along principal fault zones in northern California has provided the opportunity to significantly increase our understanding of fault zone geomorphology. The scope of this project will involve determining millennial-scale fault slip rates at sites newly illuminated by the LiDAR data, such as along the San Andreas Fault at Sanborn Park in the Santa Cruz Mountains and along the creeping San Andreas Fault where it offsets fluvial terraces on the San Benito River. This will involve detailed field mapping, stratigraphic analyses, and a range of geochronological analyses. This project will also include quantitative analysis of tectonic landforms along fault zones, such as the complex releasing stepover at Mustang Ridge on the creeping San Andreas Fault. These analyses will be performed with the goal of better understanding the kinematics that lead to current landscape form and to identify potential locations for detailed field study. Furthermore, this project will employ even higher-resolution terrestrial LiDAR data to constrain fault zone geomorphology on centimeter to meter scales and in areas in which airborne LiDAR does not completely reveal tectonic features. Because the LiDAR data are only recently available, the project focus will potentially evolve as the LiDAR data are more thoroughly explored.
Elevation-colored oblique shaded relief model of LiDAR topography at Mustang Ridge with proposed subsidiary fault network geometry resulting from a suite of quantitative analyses.
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