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This part of the data release presents a digital elevation model (DEM) created from bathymetry data collected on February 1, 2011, in the Sacramento River from the confluence of the Feather River to Knights Landing. The data were collected by the USGS Pacific Coastal and Marine Science Center (PCMSC) team with collaboration and funding from the U.S. Army Corps of Engineers. This project used interferometric sidescan sonar to characterize the riverbed and channel banks along a 12 mile reach of the Sacramento River, California (River Mile 79 through River Mile 91) to aid in the understanding of fish response to the creation of safe habitat associated with levee restoration efforts in two 1.5 mile reaches of the Sacramento...
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This part of the data release presents topography data from northern Monterey Bay, California collected in September 2015 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2015-668-FA). For each area surveyed, the scanner was placed at several positions which were selected to provide maximum line-of-sight coverage of the area of interest. Scans were typically conducted in panoramic mode, creating a detailed point cloud of all unobstructed surfaces in a 360 degree view of the scanner. At each scan position, co-registered photographic imagery was also collected with a scanner mounted DSLR camera. Scanner registration was performed by placing four or more cylindrical or flat reflective tripod-mounted...
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High-resolution multichannel minkisparker seismic-reflection (MCS) profiles were collected by the U.S. Geological Survey in September and October of 2016 from the northern portion of the Santa Barbara Basin offshore southern California. Data were collected aboard the USGS R/V Parke Snavely and NOAA R/V Shearwater during field activity 2016-666-FA using a SIG 2-mille minisparker and recorded using 48- or 24-channel Geometrics digital hydrophone streamer. Sub-bottom acoustic penetration spans several hundreds of meters and is variable by location.
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This portion of the data release presents the raw aerial imagery collected during the uncrewed aerial system (UAS) survey conducted on the ocean beaches adjacent to the Columbia River Mouth at the Oregon-Washington border in August 2017. The imagery was acquired using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. The camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The Fort Stevens State Park survey was conducted under Oregon Parks and Recreation Department Scientific Research Permit #024-17. Five flights were conducted at Fort Stevens State Park on 7 August 2017, between 16:32...
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This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar...
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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data is the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated...
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Beaver Lake was constructed in 1966 on the White River in the northwest corner of Arkansas for flood control, hydroelectric power, public water supply, and recreation. The surface area of Beaver Lake is about 27,900 acres and approximately 449 miles of shoreline are at the conservation pool level (1,120 feet above the North American Vertical Datum of 1988). Sedimentation in reservoirs can result in reduced water storage capacity and a reduction in usable aquatic habitat. Therefore, accurate and up-to-date estimates of reservoir water capacity are important for managing pool levels, power generation, water supply, recreation, and downstream aquatic habitat. Many of the lakes operated by the U.S. Army Corps of Engineers...
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This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...
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This part of DS 781 presents data for the bathymetry map of Offshore of Aptos map area, California. Bathymetry data are provided as two separate grids depending on mapping agency and processing method. This metadata file refers to the data included in "BathymetryA_USGS_OffshoreAptos.zip" which are accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters...
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This part of DS 781 presents data for the shaded-relief map of Offshore of Aptos map area, California. Shaded-relief data are provided as two separate grids depending on mapping agency and processing method. This metadata file refers to the data included in "BathymetryBHS_CSUMB_OffshoreAptos.zip," which is accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State...
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Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic characteristics of the Illinois River have been interpreted to support Asian carp research, monitoring, and control. The study plan consisted of data collection and analysis of the Brandon, Dresden, Starved Rock, Marseilles, Peoria, La Grange, and Alton reaches of the Illinois River. Reaches with larger aquatic areas (Peoria, La Grange, and Alton), had areas prioritized for data collection and analysis.
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The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. A terrestrial lidar unit was used to collect shoreline elevation points. These datasets were highly desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. This information is highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural...
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Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic characteristics of the Illinois River have been interpreted to support Asian carp research, monitoring, and control. The study plan consisted of data collection and analysis of the Brandon, Dresden, Starved Rock, Marseilles, Peoria, La Grange, and Alton reaches of the Illinois River. Reaches with larger aquatic areas (Peoria, La Grange, and Alton), had areas prioritized for data collection and analysis.
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Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic characteristics of the Illinois River have been interpreted to support Asian carp research, monitoring, and control. The study plan consisted of data collection and analysis of the Brandon, Dresden, Starved Rock, Marseilles, Peoria, La Grange, and Alton reaches of the Illinois River. Reaches with larger aquatic areas (Peoria, La Grange, and Alton), had areas prioritized for data collection and analysis.
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This dataset consists of two files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach and near-shore topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using a Norbit integrated wide band multibeam system (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
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This dataset consists of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) for the approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected...
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This dataset represents post-nourishment digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The Lidar DEM has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. The topobathy DEMs have a 10-meter (m; 32.8084 feet) or a 5-meter (m; 16.4042 feet) cell size, and were created from a combined LAS dataset of lidar data representing the beach topography, and single-beam and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for...


map background search result map search result map BathymetryA [USGS]--Offshore Aptos, California BathymetryB Hillshade [CSUMB]--Offshore Aptos, California Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011 Terrestrial lidar data from northern Monterey Bay, California, September 2015 High-resolution multibeam bathymetry data collected southwest of Montague Island, Alaska during field activity 2014-622-FA High-resolution multibeam bathymetry data collected southwest of Chenega Island, Alaska during field activity 2014-622-FA Bathymetric data for Beaver Lake near Rogers, Arkansas, 2018 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Multichannel minisparker seismic-reflection data of USGS field activity 2016-666-FA collected in the Santa Barbara Basin in September and October of 2016 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Topobathy Elevation Hillshade Duluth Entry: XYZ files of lidar and multibeam sonar data collected at Lake Superior at the Duluth Entry, Duluth, MN, July 2020 Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 Illinois River, Marseilles, Bathymetric Ruggedness Index, 2017-2018 Illinois River, Starved Rock, Bathymetric Hillshade, 2017-2018 Illinois River, Brandon, Bathymetric Hillshade, May 2018 Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 XYZ files of lidar, single-beam, and multibeam sonar data of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 Aerial imagery from UAS surveys of beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA, August 2017 LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Topobathy Elevation Hillshade LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 Duluth Entry: XYZ files of lidar and multibeam sonar data collected at Lake Superior at the Duluth Entry, Duluth, MN, July 2020 Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 XYZ files of lidar, single-beam, and multibeam sonar data of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Terrestrial lidar data from northern Monterey Bay, California, September 2015 Illinois River, Brandon, Bathymetric Hillshade, May 2018 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011 Aerial imagery from UAS surveys of beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA, August 2017 BathymetryB Hillshade [CSUMB]--Offshore Aptos, California BathymetryA [USGS]--Offshore Aptos, California High-resolution multibeam bathymetry data collected southwest of Chenega Island, Alaska during field activity 2014-622-FA Bathymetric data for Beaver Lake near Rogers, Arkansas, 2018 Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 High-resolution multibeam bathymetry data collected southwest of Montague Island, Alaska during field activity 2014-622-FA Multichannel minisparker seismic-reflection data of USGS field activity 2016-666-FA collected in the Santa Barbara Basin in September and October of 2016