HR: 14:55h
AN: G43D-06 [Abstracts]
TI: High-Resolution LiDAR Topography of the Plate-Boundary Faults in Northern California
AU: * Prentice, C S
EM: cprentice@usgs.gov
AF: USGS, 345 Middlefield Rd MS 977, Menlo Park, CA 94025, United States
AU: Phillips, D A
AF: UNAVCO, 6350 Nautilus Drive, Boulder, CO 80301, United States
AU: Furlong, K P
AF: Department of Geosciences, Penn State University, University Park, PA 16802, United
States
AU: Brown, A
AF: The Ohio State University, 275 Mendenhall, 125 South Oval Mall, Columbus, OH 43201,
United States
AU: Crosby, C J
AF: Arizona State University, School of Earth and Space Exploration,
PO Box 87104, Tempe, AZ 85287, United States
AU: Bevis, M
AF: The Ohio State University, 275 Mendenhall, 125 South Oval Mall, Columbus, OH 43201,
United States
AU: Shrestha, R
AF: NCALM, PO Box 116580, University of Florida, Gainesville, FL 32611, United States
AU: Sartori, M
AF: NCALM, PO Box 116580, University of Florida, Gainesville, FL 32611, United States
AU: Brocher, T M
AF: USGS, 345 Middlefield Rd MS 977, Menlo Park, CA 94025, United States
AU: Brown, J
AF: USGS, 345 Middlefield Rd MS 977, Menlo Park, CA 94025, United States
AB:
GeoEarthScope acquired more than 1500 square km of airborne LiDAR data in northern California, providing
high-resolution topographic data of most of the major strike-slip faults in the region. The coverage includes the
San Andreas Fault from its northern end near Shelter Cove to near Parkfield, as well as the Rodgers Creek,
Maacama, Calaveras, Green Valley, Paicines, and San Gregorio Faults. The Hayward fault was added with
funding provided by the US Geological Survey, the City of Berkeley, and the San Francisco Public Utilities
Commission. Data coverage is typically one kilometer in width, centered on the fault. In areas of particular fault
complexity the swath width was increased to two kilometers, and in selected areas swath width is as wide as five
kilometers. A five-km-wide swath was flown perpendicular to the plate boundary immediately south of Cape
Mendocino to capture previously unidentified faults and to understand off-fault deformation associated with the
transition zone between the transform margin and the Cascadia subduction zone. The data were collected in
conjunction with an intensive GPS campaign designed to improve absolute data accuracy and provide quality
control. Data processing to classify the LiDAR point data by return type allows users to filter out vegetation and
produce high-resolution DEMs of the ground surface beneath forested regions, revealing geomorphic features
along and adjacent to the faults. These data will allow more accurate mapping of fault traces in regions where the
vegetation canopy has hampered this effort in the past. In addition, the data provide the opportunity to locate
potential sites for detailed paleoseismic studies aimed at providing slip rates and event chronologies. The
GeoEarthScope LiDAR data will be made available via an interactive data distribution and processing workflow
currently under development.
DE: 1200 GEODESY AND GRAVITY
DE: 7230 Seismicity and tectonics (1207, 1217, 1240, 1242)
DE: 8036 Paleoseismology (7221)
DE: 8150 Plate boundary: general (3040)
DE: 8175 Tectonics and landscape evolution
SC: Geodesy [G]
MN: 2007 Fall Meeting