Filters: Tags: RTK (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: U.S. Geological Survey (X)
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The RTK survey, using a Trimble unit, was conducted in August 2021 in the coastal plains region (1002 area) of the Arctic National Wildlife Refuge, as part of a landscape vulnerability assessment. A total of six transects are included in the data, including five research sites and one transect collected at the camp site. Mean horizontal precision was 0.006m, mean vertical precision was 0.011m.
Categories: Data;
Tags: Arctic,
Arctic National Wildlife Refuge,
Climatology,
Geography,
Geomorphology,
Water-surface elevations were recorded by submerged pressure transducers in Spring, 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. The water-surface elevations were surveyed by using a real-time kinematic global positioning system (RTK-GPS) at each pressure sensor location. These water-surface elevations were logged over a small range of discharges, from 4,600 cubic feet per second to 10,800 cubic feet per second at Harrisburg, OR. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple datasets that will be released for this...
River bathymetry and stream velocity measurements were collected in March 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. These surveys were collected over a small range of discharges using a real time kinematic global positioning system (RTK-GPS) and acoustic Doppler current profiler (ADCP) on a motorboat while transecting at various cross sections along the river. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple survey datasets that will be released for this effort.
365149109492300 - Laguna Creek below Dennehotso near Kayenta, AZ - 2020/06/02 Terrestrial Lidar Data
This is a terrestrial LiDAR laser scanner dataset of an intermittent waterway named Laguna Creek near the community of Dennehotso, AZ collected on June 2, 2020. The reach scanned for this study is located at the bridge where State Route 160 crosses the waterway. The river channel on the upstream side of the bridge has experienced bank erosion over recent years. A bank stabilization project was implemented by the Arizona Department of Transportation in 2018. This scan is intended to capture the condition of the bank in 2020 and be used to measure any changes to the bank protection that has occurred since the installation.. A Leica MS-60 Multistation was used for the laser scanner data collection. Multiple scans were...
River bathymetry surveys were collected in the summer and fall of 2016 along the lower Chetco River, Oregon. These surveys were collected using a real time kinematic global positioning system (RTK-GPS) and an echo sounder mounted on a motorboat and also behind a kayak at various cross sections and longitudinal profiles along the river. These datasets were collected in support of a funded effort investigating the cause of salt water intrusion that has taken place at the water intake facility for Harbor City, Oregon. The surveys were collected at sections approximately 0.4 river miles downstream to 0.8 river miles upstream of the Harbor City water intake structure and also at the city of Brookings water intake facility,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Brookings,
Chetco River,
GPS,
Harbor City,
Oregon,
These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of them overlapping one another (Figure 1). These data are composed of individual scans referenced to one another using reflective targets, and geolocated using differentially corrected GPS and RTK locations of scan locations (Figure 3). There were overall large differences in point density among the two scanners (Figure 2).
Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2019 for approximately 2.2 square kilometers of the Nehalem Bay between the Highway 101 bridge and Nehalem Bay State Park (about 6.5 kilometers) near Wheeler, Oregon. The data were collected using a Trimble R8 Global Navigation Satellite System (GNSS) receiver combined with a Seafloor Systems Hydrolite TM single-beam 200 kilohertz echosounder mounted to a motorized boat. GPS positions received corrections in real time from the Oregon Real-Time GNSS Network. Sound velocity profiles were recorded at 19 different locations evenly spaced throughout the survey area using an AML Oceanographic Base X2 100 meter sound velocity profiler in order to quantify...
Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2019 for approximately 2.2 square kilometers of the Nehalem Bay between the Highway 101 bridge and Nehalem Bay State Park (about 6.5 kilometers) near Wheeler, Oregon. The data were collected using a Trimble R8 Global Navigation Satellite System (GNSS) receiver combined with a Seafloor Systems Hydrolite TM single-beam 200 kilohertz echosounder mounted to a motorized boat. GPS positions received corrections in real time from the Oregon Real-Time GNSS Network. Sound velocity profiles were recorded at 19 different locations evenly spaced throughout the survey area using an AML Oceanographic Base X2 100 meter sound velocity profiler in order to quantify...
This is a terrestrial LiDAR laser scanner dataset collected on October 14, 2020, in response to a flow event that occurred on September 8, 2020, at the USGS streamgage 09471580 - San Pedro River at St David, AZ. The reach scanned for this study is located at the bridge where State Route 80 crosses the waterway. A Leica MS-60 Multistation was used for the laser scanner data collection. Multiple scans were combined by setting up the scanner using resection techniques coupled with Leica RTK - GPS equipment. All scan data are corrected using measurements of a reference mark with a known location.
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