The San Andreas fault at Dry Lake Valley data set comprises high-resolution topography and an orthomosaic of part of the creeping central section of the San Andreas fault (SAF) at Dry Lake Valley, California, USA. The data set covers ~3 km of the SAF and ~2.7 km2 area. The data were created using small UAS-derived low-altitude aerial photographs, Structure-from-Motion processing, and georeferencing from dGNSS onboard the sUAS and ground control points. The motivation for producing the data set was to difference the topography against EarthScope LiDAR of the area collected ten years earlier, in 2007, to measure strain along and across strike of the fault (Scott et al., in review). The study site was chosen because it is the location of a previous paleoseismology study (Toke et al., 2015), and creep-induced fracturing was mapped in detail at the location in 2014 and used to infer deformation rate localized on the fault (Scott et al., in review).

This dataset is intended for researchers interested in active tectonics and earthquake hazards research in the Central Coast region of California, and the areas north and east of San Francisco Bay. The target areas were developed and defined by USGS scientists in collaboration with colleagues working in these regions. The target areas in the Central Coast region are: the Big Sur area and the Oceanic and San Simeon Faults. The target areas in northern California are: the Bartlett Springs and Berryessa Faults, the Greenville Fault, and the Rodgers Creek Fault - Maacama Fault stepover area. The data collection and processing were purchased by the U.S. Geological Survey using funds provided via the American Recovery and Reinvestment Act of 2009 (ARRA).

This airborne lidar dataset covers a 68 x 1.5 km corridor along the northwest-trending central-western sections of the Agua Blanca Fault (ABF) in northern Baja California, Mexico. The ABF accommodates right-lateral Pacific-North American plate boundary deformation across the Peninsular Ranges of Baja California between the western escarpment of the Gulf of California and the Pacific coast. The data were collected by the National Center for Airborne Laser Mapping (NCALM); collection was jointly financed by Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin (UTA) and the Earth Sciences Division of the Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE). Project PI’s were Jose Romo, John Fletcher and Alejandro Hinojosa of CICESE and Whitney Behr and Peter Gold of UT Austin.

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 high-resolution topography dataset of the Southern San Andreas Fault (SSAF) includes a point cloud, digital surface model (DSM), and orthomosaic that span ~40 km strike-length of the fault from Painted Canyon south to Bombay Beach, California, USA. The survey width is ~0.5 - 0.7 km, resulting in over 30 km2 area. The point cloud contains 8.2 x 109 points, and the DSM and orthomosaic resolutions are 10 cm and 4 cm, respectively. Field work was completed over 3 ½ days in February, 2020 when 15773 photographs were acquired with small uncrewed aerial system (sUAS). The final dataset was produced using structure-from-motion (SfM) processing of derived aerial photographs with georeferencing primarily from dGNSS onboard the sUAS. Vertical root-mean-square-error (RMSe) of the DSM is 0.040 m based on 155 checkpoints measured with dGNSS and horizontal RMSe is estimated to be 0.023 m based on 28 checkpoints that incorporated markers visible in aerial photographs. Motivations to produce this open dataset include: the high earthquake hazard posed by the SSAF, the broad scientific interest in the area, the excellent ability to resolve the ground surface with SfM techniques due to the very sparse vegetation, and the complement to the existing B4 lidar data collected in 2005. This work also serves as a test-run for rapid response to a future surface-rupturing event, including the potential for repeat surveys to capture afterslip. Use of the dataset should be acknowledged with authorship information and the DOI (see citation section below). For additional information, please contact Michael Bunds (michael.bunds@uvu.edu).

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.

The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. A new reprocessed (classified) version of this dataset is here: B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar

Text files: These data are text files of GNSS survey points collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Data were collected on March 31, and August 1, 2017 using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as positions in the NAD83 UTM zone 10N coordinate system with orthometric heights according to Geoid 12B. LAZ files: These data are point clouds from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Point cloud data were collected on March 31, and August 1, 2017. The data were collected prior to trench excavation along a north-trending elongate rounded hill within Napa Valley, thought to represent the northern trace of the West Napa Fault, and then concurrent with trench excavation, overlapping and extending 200 m to the southwest of the first data set, to better characterize local fluvial history. Data were collected with a Riegl VZ400 terrestrial laser scanner and georeferenced using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as georeferenced (NAD83 UTM zone 10N orthometric) classified point clouds. Raster Data: These data are 10-cm GeoTiff rasters of ground elevations from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California.

This data set is derived from the original 2005 data collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a "bare-earth" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief) , "full-feature" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format.

These data were automated to provide an accurate high-resolution historical shoreline of San Diego to Soledad Valley, CA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808