This part of DS 781 presents data for the faults of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "Faults_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H. Faults in the Punta Gorda and Point Arena region are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data collected by the U.S. Geological Survey between 2010 and 2012.

This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jesse Waco, San Jose State University, Geology Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 25 km northwest of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.

This digital geospatial dataset documents the fault traces in the Anza and Terwilliger area of southwest Riverside County, California, that were modified from Moyle (1971) by Woolfenden and Bright (1988, figure 8). The fault information is used to help assess ground-water level changes in the area of Anza and Terwilliger between 2004 and 2005.

This part of DS 781 presents data for the faults of the Point Sur to Point Arguello, California, region. The vector data file is included in the “Faults_PointSurToPointArguello.zip,” which is accessible from https://doi.org/10.5066/P97CZ0T7. Faults in the Point Sur to Point Arguello region are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data collected by the U.S. Geological Survey between 2008 and 2014.

The U.S. Geological Survey (USGS) Geologic Hazards Science Center (Golden, CO) coordinated the acquisition of ~198 square kilometers of airborne Light Distance and Ranging (Lidar) data and derivative bare-earth ground models to support active fault studies in the Northern Walker Lane (California-Nevada border). Faults surveyed include from west to east the Mohawk Valley, Grizzly Valley, Honey Lake, and Warm Springs Valley fault systems. Specifications for the acquisition followed recommendations made by R. Haugerud et al. in a proposed specification for lidar surveys in the Pacific Northwest ( 2008). The data were acquired by Airborne Solutions Inc. The vendor reported an average shot density of 15-17 points/m2 and the vendor delivered bare-earth and first-return digital elevation models with a cell spacing of 0.25 m2. Project PI: Ryan Gold.

This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during six flights aboard a DOE B-200 aircraft over California and Nevada, U.S., on 2003-10-05 to 2003-10-12. An objective of this deployment was geological fault mapping. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

This report summarizes geomorphic data and analysis from the range front of the San Gabriel Mountains, California, USA. For catchment-average erosion rates, we describe the methodology used to collect samples of detrital sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate erosion rates. We also describe the methodology for calculating various topographic metrics from previously published lidar topographic data. These metrics include stream channel concavity, normalized channel steepness index, dimensionless hilltop erosion and dimensionless hilltop relief.

This report summarizes geomorphic data and analysis from the range front of the San Gabriel Mountains, California, USA. For catchment-average erosion rates, we describe the methodology used to collect samples of detrital sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate erosion rates. We also describe the methodology for calculating various topographic metrics from previously published lidar topographic data. These metrics include stream channel concavity, normalized channel steepness index, dimensionless hilltop erosion and dimensionless hilltop relief.

,

,