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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 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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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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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...
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This dataset is a LAS dataset containing light detection and ranging (lidar) data and multibeam sonar data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The LAS data were used to create a digital elevation model (DEM) of 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 October 5-11, 2021. Methodology similar to Wagner, D.M., Lund, J.W.,...
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This portion of the data release presents orthomosaic images of the Whale's Tail Marsh region of South San Francisco Bay, CA. The orthomosaics have resolutions of 2.5 centimeters per pixel and were derived from structure-from-motion (SfM) processing of repeat aerial imagery collected from fixed-wing aircraft. The raw imagery used to create these elevation models was acquired from an approximate altitude of 427 meters (1,400 feet) above ground level (AGL), using a Hasselblad A6D-100c camera fitted with an HC 80 lens, resulting in a nominal ground-sample-distance (GSD) of 2.5 centimeters per pixel. The acquisition flight lines were designed to provide approximately 50 percent overlap between adjacent flight lines...
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In February 2016 the University of Washington in cooperation with the U.S. Geological Survey, Pacific Coastal and Marine Science Center (USGS, PCMSC) collected multibeam bathymetry and acoustic-backscatter data in and near the Catalina Basin, southern California aboard the University of Washington's Research Vessel Thomas G. Thompson. Data was collected using a Kongsberg EM300 multibeam echosounder hull-mounted to the 274-foot R/V Thomas G. Thompson. The USGS, PCMSC processed these data and produced a series of bathymetric surfaces and acoustic-backscatter images for scientific research purposes. This data release provides a 10-m resolution bathymetry surface and a 10-m resolution acoustic backscatter image. In...
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This section of the data release provides bathymetry data collected during 2017 and 2018 multibeam echosounder surveys of Noyes Submarine Canyon and vicinity, southeast Alaska. Data were collected by the National Oceanic and Atmospheric Administration (NOAA) aboard the NOAA survey vessel Fairweather (NOAA survey D00208, Report for D00208 (noaa.gov) and NOAA survey D00245, Report for D00245 (noaa.gov)). Data provided in this data release were post-processed by U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) for scientific geohazard projects. The bathymetry data are provided as a GeoTIFF image.
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This 50-m-resolution surface presents bathymetric change of South San Francisco Bay, California (hereafter referred to as South Bay). This surface compares a 1-m-resolution digital elevation model (DEM) of the southern portion of San Francisco Bay (Fregoso and others, 2021), comprised of bathymetry data in the South Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 50-m-resolution DEM of South Bay comprised of historic surveys from 1979 to 1985 (referred to as the 1980s because the majority of the surveys were in that decade). The creation of this change surface involved the resampling of the 1-m-resolution 2010s DEM to match the 50-m-resolution...
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A set of physics-based XBeach Non-hydrostatic hydrodynamic model simulations (with input files here included) were used to evaluate how varying carbonate budgets, and thus coral reef accretion and degradation, affect alongshore variations in wave-driven water levels along the adjacent shoreline of Buck Island Reef National Monument (BUIS) for a number of sea-level rise scenarios, specifically during extreme wave conditions when the risk for coastal flooding and the resulting impact to coastal communities is greatest. These input files accompany the modeling conducted for the following publication: Toth, L.T., Storlazzi, C.D., Kuffner, I.B., Quataert, E., Reyns, J., McCall, R.T., Stathakopoulos, A., Hillis-Starr,...
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This portion of the USGS data release presents bathymetry data collected during surveys performed in northern Monterey Bay, California in March 2017 (USGS Field Activity Number 2017-620-FA). Bathymetry data were collected using two personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey. Positioning of the survey vessels was was determined at 10-Hz using Trimble R7 GNSS receivers and Zephyr 2 antennas. Output from the GNSS receivers and sonar systems were combined in real time on the PWC by a computer running HYPACK hydrographic...
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This portion of the data release presents the locations of the temporary ground control points (GCPs) used for the structure-from-motion (SfM) processing of the imagery collected during an unmanned aerial system (UAS) survey of the intertidal zones at Puget Creek and Dickman Mill Park, Tacoma, WA, on 2019-06-03. Twelve temporary ground control points (GCPs) were distributed throughout each survey area to establish survey control. The GCPs consisted of a combination of small square tarps with black-and-white cross patterns and "X" marks placed on the ground using temporary chalk. The GCP positions were measured using post-processed kinematic (PPK) GPS, using corrections from a GPS base station located approximately...
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This portion of the data release presents the raw aerial imagery collected during the unoccupied aerial system (UAS) survey of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01. 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. A total of six flights were conducted for the survey between 19:35 and 22:15 UTC (12:35 and 15:15 PDT). Only the imagery from fights F03 and F06 were used for data processing and are included in this data release. All flights were conducted at an approximate...
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This portion of the USGS data release presents topography data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon, in 2018 (USGS Field Activity Number 2018-652-FA). Topographic profiles were collected by walking along survey lines with global navigation satellite system (GNSS) receivers mounted on backpacks. Prior to data collection, vertical distances between the GNSS antennas and the ground were measured using a tape measure. Hand-held data collectors were used to log raw data and display navigational information allowing surveyors to navigate survey lines spaced at 100- to 1000-m intervals along the beach. Profiles were surveyed from the landward edge of the study area...
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This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon in 2020 (USGS Field Activity Number 2020-622-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9-degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during...
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This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon in 2016 (USGS Field Activity Number 2016-663-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9 degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during...
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These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. The DEMs have 1 meter (m; 3.28084 ft) and/or 10 m (32.8084 ft) cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry for an approximate 1.78 square kilometer survey area. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
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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 bathymetry 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, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) cell size, of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...


map background search result map search result map BathymetryA [USGS]--Offshore Aptos, California BathymetryB Hillshade [CSUMB]--Offshore Aptos, California Multibeam bathymetry and acoustic-backscatter data collected in 2016 in Catalina Basin, southern California and merged multibeam bathymetry datasets of the northern portion of the Southern California Continental Borderland Nearshore bathymetry data from northern Monterey Bay, California, March 2017 Beach topography of the Columbia River littoral cell, Washington and Oregon, 2018 Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2016 Multibeam bathymetry data collected in 2017 and 2018 of Noyes Submarine Canyon and vicinity, southeast Alaska Ground control point locations for UAS survey of the intertidal zones at Puget Creek and Dickman Mill Park, Tacoma, WA, 2019-06-03 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Topobathy Elevation Hillshade Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2020 Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument 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 Orthomosaic images of the Whale's Tail Marsh region, South San Francisco Bay, CA Bathymetric change of South San Francisco Bay, California: 1979 to 2020 LAS dataset of lidar, single-beam, and multibeam data collected of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 Aerial imagery from the UAS survey of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01 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 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Aerial imagery from the UAS survey of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Topobathy Elevation Hillshade Ground control point locations for UAS survey of the intertidal zones at Puget Creek and Dickman Mill Park, Tacoma, WA, 2019-06-03 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 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 LAS dataset of lidar, single-beam, and multibeam data collected of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 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 Orthomosaic images of the Whale's Tail Marsh region, South San Francisco Bay, CA Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument BathymetryB Hillshade [CSUMB]--Offshore Aptos, California BathymetryA [USGS]--Offshore Aptos, California Nearshore bathymetry data from northern Monterey Bay, California, March 2017 Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 Bathymetric change of South San Francisco Bay, California: 1979 to 2020 Beach topography of the Columbia River littoral cell, Washington and Oregon, 2018 Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2020 Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2016 Multibeam bathymetry and acoustic-backscatter data collected in 2016 in Catalina Basin, southern California and merged multibeam bathymetry datasets of the northern portion of the Southern California Continental Borderland Multibeam bathymetry data collected in 2017 and 2018 of Noyes Submarine Canyon and vicinity, southeast Alaska