Person

Alexandra J Pickering

6 items:

Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017 This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Riegl VZ400 Terrestrial Laser Scanner and georeferenced using a Leica Viva GS15 survey grade GPS. The data are delivered as georeferenced (NAD83 UTM zone 10N ellipsoid) classified point clouds, 5 cm resolution digital elevation models, and a text file of surveyed GPS control points. The included files are: LH2017_Jan.laz... Tags: Geomorphology, La Honda, Remote Sensing, San Mateo County, USGS Science Data Catalog (SDC), All tags... landslide, lidar, Fewer tags
High-resolution seismic imaging data acquired in 2021 across the West Winters Fault, Great Valley Fault System at Bigelow Hills, Yolo County, California In June of 2021, the U.S. Geological Survey conducted a high-resolution seismic survey at Winters, California. Seismic data were acquired using a DTCC SmartSolo 3-component nodal seismograph system ("node"), which continuously recorded at 2000 samples per second. Nodes were deployed 5 meters apart from west-southwest to east-northeast to create an approximately 800-m-long linear profile. P-wave data were generated primarily using a 500-lb (227-kg) accelerated weight drop at each recording station. In areas of difficult access, P-wave data were generated using a sledgehammer striking a steel plate. S-wave data were generated using a sledgehammer horizontally striking an aluminum block anchored to the ground. Every... Categories: Data; Tags: Seismology, USGS Science Data Catalog (SDC), Winters, earthquakes, faulting (geologic), All tags...
Lidar point cloud, raster, mapping, analysis, and photographic data for streambank erosion and related geomorphic change in Tuolumne Meadows, Yosemite National Park, California, USA These data are derived from four lidar surveys: one airborne survey in 2006 and three terrestrial surveys in 2016, 2017, and 2018. These surveys were used to generate better quantitative understanding of changes associated with fluvial system process along the reach of the Tuolumne River as it traverses Tuolumne Meadows. This research was performed to provide science for decision support as the National Park Service makes restoration and management decisions in accordance with the Tuolumne Wild and Scenic River Final Comprehensive Management Plan. Categories: Data; Tags: Geomorphology, Land Use Change, Remote Sensing, Tuolumne Meadows, USGS Science Data Catalog (SDC), All tags... channel, streambank, Fewer tags
Lidar point cloud, GNSS, and DEM raster data from the Ehlers Lane fault-study site near St. Helena, California, March 31 and August 1, 2017 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... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Geomorphology, Napa County, Napa Valley, Remote Sensing, Saint Helena, All tags...
Digital Datasets Documenting Surface Fault Rupture and Ground Deformation Features Produced by the Ridgecrest M6.4 and M7.1 Earthquake Sequence of July 4 and 5, 2019 This product is a collection of digital data that document fault rupture and ground-deformation features produced by the Ridgecrest M6.4 and M7.1 earthquake sequence of July 4 and 5, 2019. These datasets are described and more fully discussed in Ponti and others (2020) (see External Resources Section below for the full reference). Included in this collection are: GIS Shapefile and KMZ file of field-verified fault rupture and ground deformation features from direct field mapping, or interpreted from ground observations, airborne and satellite optical imagery, digital surface models derived from lidar and structure-from-motion optical image analysis, sub-pixel correlation of multi-temporal optical imagery, and phase... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, China Lake, Geomorphology, Indian Wells Valley, Inyo County, All tags...

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