2010 Northern San Francisco Bay Area Lidar: Portions of Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and Sonoma Counties
공공데이터포털
This Light Detection and Ranging (LiDAR) dataset is a survey of northern San Francisco Bay, California. The project area consists of approximately 437 square miles in portions of seven California counties: Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and Sonoma. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc. acquired 147 flight lines in nine lifts on February 25, 26, and 28; March 1, 24, and 26; and April 3, 15, and 16, 2010. The data was divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of northern San Francisco Bay, California, is classified according to the ASPRS classification scheme and was collected at sufficient resolution to provide a nominal point spacing of 1 m for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov
Agua Blanca Fault, Baja California, Mexico.
공공데이터포털
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 PIs were Jose Romo, John Fletcher and Alejandro Hinojosa of CICESE and Whitney Behr and Peter Gold of UT Austin.
High Resolution Topography of the Central San Andreas Fault, California
공공데이터포털
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).
Unprocessed aerial imagery from 15 September 2024 earthquakes survey of Central California.
공공데이터포털
This is a set of 4599 vertical aerial photogrammetric images and their derivatives, collected from Lonoak vicinity with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.
Input Data Boundary Outlines for DEMs of the North-Central California Coast (DEM source data.shp)
공공데이터포털
A GIS polygon shapefile outlining the boundaries of the native input datasets used to construct a seamless, 2-meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the North-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 m elevation contour.