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This point shapefile represents 38 terrestrial laser scanner (TLS) survey scan locations collected by single-base real-time kinematic (RTK) global navigation satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by two Topcon GR-3 GNSS receivers at one-second intervals for three minutes for each location.
This polygon shapefile represents estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Estimates of the 4, 2, 1, 0.5, and 0.2 percent annual exceedance probability (AEP) flood streamflows (previously known as the 25, 50, 100, 250, and 500-year floods) were computed from regional flood regression equations. The estimated flood streamflows were used with one-dimensional hydraulic models to compute water surface elevations that were mapped on a digital terrain model of the study area. Those locations where the water surface was higher than the land surface were defined as inundated. The inundation polygons are named by AEP flow (4, 2, 1, 0.5, 0.2-percent) and geometry...
U.S. Geological Survey (USGS) scientists completed a multidisciplinary data collection effort during the week of October 21-25, 2019, using new technologies to map and validate bathymetry over a large stretch of the non-tidal Potomac River. The work was initiated as an effort to validate commercially-acquired topobathymetric light detection and ranging (lidar) data funded through a partnership between the USGS and the Interstate Commission on the Potomac River Basin (ICPRB). The goal was to compare airborne lidar data to bathymetric data collected through more traditional means (boat-based sonar, wading Real Time Kinematic Global Navigational Satellite System (RTK-GNSS) surveys) and through unmanned aerial systems...
U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during June 11th - 16th, 2020, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at five sites in the Chesapeake Bay Region of Virginia. The five sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data while the VIMS...
The Chesapeake Bay Estuary is the largest estuary in the United States and provides habitats for diverse wildlife and aquatic species, protects communities against flooding, reduces pollution to waterways, and supports local economies through commercial and recreational activities. In the Spring of 2018, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project at the USGS Earth Resources Observation and Science (EROS) Center and the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM) initiated collaborative work. The goal of this collaboration is to evaluate how various remote sensing technologies can be employed to model estuarine...
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between October 25th and 31st, 2020 at several sites in eastern Iowa using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topographic light detection and ranging (lidar) data that was collected between December 7th, 2019 and November 19th, 2020 using wide area mapping lidar systems for the USGS 3D Elevation Program (3DEP). The goal was to compare and validate the airborne lidar data to topographic, structural, and infrastructural data collected through more traditional means (e.g., Global Navigational Satellite System (GNSS) surveying). Evaluating these data will provide valuable...
This point shapefile represents ground observations collected by terrestrial laser scanner (TLS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016, and filtered of extraneous data from features such as vegetation, fences, power lines, and atmospheric interference using an iterative process in I-Site Studio. The resulting 122,104 points were used to produce a digital terrain model of the area (GrapevineCanyon_TIN.zip in this data release).
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between July 19th and 31st, 2021 over a large stretch of the McKenzie River in Oregon using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data that was collected coincidentally between July 26th and 30th, 2021 for the USGS 3D Elevation Program (3DEP). The goal was to compare and validate the airborne lidar data to topographic, bathymetric, structural, and infrastructural data collected through more traditional means (e.g., Global Navigational Satellite System (GNSS) surveying). Evaluating these data will provide valuable...
This zipped folder contains all relevant files to document and run the Hydrological Engineering Center-River Analysis System (HEC-RAS) one dimensional hydraulic model used to simulate flood inundation extents in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Specifically: 1) model-software-version.txt (file) Identifies the modeling software version and website. 2) modelgeoref.txt (file) Includes reference to the model documentation report, data release, and bounding box coordinates. 3) model_run_files (folder) Contains files that were used to run the model. 4) model_output (folder) Contains selected model outputs from the model runs. 5) calibration-targets (folder) Contains high-water marks from...
This zip file contains 42 LAZ point cloud files surveyed by terrestrial laser scanner (TLS) from 38 locations in Grapevine Canyon near Scotty’s Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by 360-degree scans using a Maptek I-Site 8810XR TLS and post-processed with I-Site Studio software.
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. The goal was to compare the airborne lidar and sonar derived TBDEM to data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). In addition, coastal dunes were mapped with ground based lidar (GBL) for computation of dune metrics. The Hurricane Florence TBDEM will support the...
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between August 17th and 28th, 2020 over a large stretch of the Niobrara River in Nebraska using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data. The goal was to compare and validate the airborne lidar data to topographic, bathymetric, structural, and infrastructural data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). The airborne topobathymetric lidar data will be used for characterization of endangered species aquatic habitat, improving the understanding of fluvial...
This point shapefile represents four static reference locations collected by single-baseline Online Positioning User Service – Static (OPUS-S) global navigations satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Surveys were completed at three Federal Highway Administration benchmarks (FHWA) and one temporary reference point, Rebar1. Data were collected using Topcon GR-3 and Leica Viva GS14 GNSS receivers on two-meter fixed height tripods. Processing of static observations was done using the National Geodetic Survey (NGS) Online Positioning User System (OPUS).
U.S. Geological Survey (USGS) and University of Hawaii - Mānoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu‘uhonua O Hōnaunau National Historical Park on the Big Island of Hawaii. The data collection efforts utilized a combination of remote sensing technologies to map the topography, critical infrastructure, and most importantly, the cultural assets of Pu‘uhonua O Hōnaunau National Historical Park. The USGS and UH team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data, along with utilizing Uncrewed Aerial Systems (UAS) to collect imagery and UAS lidar to map these features. This data release contains shapefiles of...
This U.S. Geological Survey data release consists of a polygon geospatial dataset representing estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park, and the data acquired and processed to support the delineation of those areas. Supporting datasets include topographic survey data collected by global navigation satellite system (GNSS) and terrestrial laser scanner (TLS) in Grapevine Canyon from July 12-14, 2016; derivatives of those data; pebble count data collected in Grapevine Canyon; and an archive of the one-dimensional hydraulic model used to generate the flood-inundation area polygons. Specifically: 1)a point dataset of four static reference locations (StaticGNSS_x)...
This point shapefile represents 769 locations surveyed by single-base real-time kinematic (RTK) global navigation satellite system (GNSS) in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. The points were collected at 3-second intervals and include hard and soft surfaces and slopes throughout the study area. The points were used as vertical precision verification for a terrestrial laser scanner (TLS) survey.
This comma-separated values (CSV) file includes the results of five Wohlman-style pebble counts (Wolman, 1954), collected in Grapevine Canyon near Scotty's Castle, Death Valley National Park, on March 2, 2017. Pebble counts were performed to determine the size of channel bed particles and evaluate channel roughness to be input into a one-dimensional hydraulic model.
Categories: Data;
Tags: California,
Death Valley,
Death Valley National Park,
Grapevine Canyon,
LiDAR,
This zip file contains a digital terrain model represented by a triangulated irregular network (TIN) derived from filtered ground observations collected by terrestrial laser scanner (TLS) in Grapevine Canyon near Scotty's Castle, Death Valley National Park, July 12-14, 2016.
U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during the week of April 8th - 14th, 2018, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at four sites in the Chesapeake Bay Region of Virginia. The four sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data...
This polygon shapefile represents filters used with I-Site Studio software to filter ground observations collected by terrestrial laser scanner (TLS) survey in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Filters were used to remove extraneous data from features such as vegetation, fences, power lines, and atmospheric interference. The resulting points were used to produce a digital terrain model of the area (GrapevineCanyon_TIN.zip in this data release).
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