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This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated...
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This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
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This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
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Water depth and turbidity time-series data were collected in Little Holland Tract (LHT) from 2015 to 2017. Depth (from pressure) was measured in high-frequency (6 or 8 Hz) bursts. Burst means represent tidal stage, and burst data can be used to determine wave height and period. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were collected and post-processed. Typically, each zip folder for a deployment period contains one file from an optical backscatter...
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These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States. These data were collected using a measuring tape to determine riprap gradation (D15, D50, D85, and D100) on in-place riprap at bridge piers and/or abutments at various locations in each study reach. They supplement the Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18. For high-resolution sites, traditional multibeam surveys were conducted using methods described in Huizinga (2015).
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This data release supports the following publication: Hittle, Elizabeth, 2017, Longshore Water-Current Velocity and the Potential for Transport of Contaminants: A Pilot Study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206 126 p., https://doi.org/10.3133/ofr20161206. This dataset is Velocity Mapping Toolbox (VMT) processed Acoustic Doppler Current Profiler (ADCP) data. The data was processed with a horizontal averaging of 5 grid nodes (Parsons, D.R., Jackson, P.R., Czuba, J.A., Oberg, K.A., Mueller, D.S., Rhoads, B., Best, J.L., Johnson, K.K., Engel, F., and Riley, J. (2013) Velocity Mapping Toolbox (VMT):...
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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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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area—braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric...
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In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area—braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric...
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These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 2, 2017, hydrographic survey of the Gasconade River near structure A3787 on U.S. Highway 50 at Mount Sterling, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and...
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These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the July 16, 2011, hydrographic and velocimetric survey of the Missouri River near structure 435-105-11.97(235) on Interstate 435 in Kansas City, Missouri, during summer flooding on the Missouri River. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and...
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These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 6, 2014, hydrographic and velocimetric survey of the Mississippi River near structure K0932 on U.S. Highway 54 at Louisiana, Missouri. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of...
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A bathymetric layer for Lake Superior of unkown origin, obtained from the Great Lakes Information Network (GLIN) at http://gis.glin.net/ogc/services.php.
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Bathymetric data derived from two multipectral IKONOS satellite images are mosaiced to provide near complete coverage of nearshore terrain around the islands. Bathymetry values shallower than 25 m were derived by gauging the relative attenuation of blue and green spectral radiance as a function of depth. A multiple linear regression analysis of linearized blue and green band spectral values against depth determined the variables of y-intercept, blue slope and green slope values. Variables then used in multivariate slope intercept formula to derive depth. Variables were adjusted to improve the statistical accuracy and spatial coverage of the final derived bathymetry product. Digital image processing to derive depths...
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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 USGS data release presents digital elevation models (DEMs) derived from bathymetric and topographic surveys conducted along northern Monterey Bay, California, in March 2017 (USGS Field Activity Number 2017-620-FA). Nearshore bathymetry data were collected using two personal watercraft (PWCs) equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS) receivers. Topography data were collected using an all-terrain vehicle equipped with a GNSS receiver and on foot with GNSS receivers mounted on backpacks. Additional topography data were collected with a terrestrial lidar scanner. Positions of the survey platforms were referenced to a GNSS base station placed...
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These data are currently under revision and will be available again in a few weeks. Please check back in April 2019 or contact Richard J Huizinga for more information. These data are high-resolution bathymetry (riverbed elevation) in ASCII format, generated from hydrographic surveys near six highway bridge structures over the Gasconade River in central Missouri. These sites were surveyed in June 2017 to help identify possible effects from extreme flooding on May 1-2, 2017. At the five downstream sites, hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey...


map background search result map search result map Lake Superior bathymetric contours (depth in meters) Nearshore Bathymetry (depth in meters), Ofu and Olosega Islands, American Samoa Velocity Mapping Toolbox (VMT) processed Acoustic Doppler Current Profiler (ADCP) transect data averaged from 4 meters to Lake bottom on June 24, 2015 Water pressure/depth and turbidity time-series data from CHC14 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011 Site G02 Gasconade River Bathymetry at Structure A3878 on U.S. Highway 50 at Mount Sterling, Missouri, June 2017 Nearshore bathymetry data from northern Monterey Bay, California, March 2017 Digital elevation models (DEMs) of northern Monterey Bay, California, March 2017 Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2014-18 Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Bathymetric Data at Highway Bridges crossing the Lower Gasconade River after the May 2017 Flood in Central Missouri Kootenai River Braided Reach Cross-Section Surveys near Bonners Ferry, ID, 2009-2018 Site 05 Missouri River Bathymetry at Structure 435-105-11.97(235) on Interstate 435 in Kansas City, Missouri, July 2011 CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: 100-year storm in San Mateo County Site 32 Mississippi River Bathymetry Data at Structure K0932 on U.S. Highway 54 at Louisiana, Missouri, June 2014 CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Mateo County Kootenai River Supplemental Surveys near Bonners Ferry, ID, 2012-2018 Site G02 Gasconade River Bathymetry at Structure A3878 on U.S. Highway 50 at Mount Sterling, Missouri, June 2017 Site 05 Missouri River Bathymetry at Structure 435-105-11.97(235) on Interstate 435 in Kansas City, Missouri, July 2011 Site 32 Mississippi River Bathymetry Data at Structure K0932 on U.S. Highway 54 at Louisiana, Missouri, June 2014 Kootenai River Braided Reach Cross-Section Surveys near Bonners Ferry, ID, 2009-2018 Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Velocity Mapping Toolbox (VMT) processed Acoustic Doppler Current Profiler (ADCP) transect data averaged from 4 meters to Lake bottom on June 24, 2015 Nearshore Bathymetry (depth in meters), Ofu and Olosega Islands, American Samoa Water pressure/depth and turbidity time-series data from CHC14 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011 Nearshore bathymetry data from northern Monterey Bay, California, March 2017 Digital elevation models (DEMs) of northern Monterey Bay, California, March 2017 Kootenai River Supplemental Surveys near Bonners Ferry, ID, 2012-2018 Bathymetric Data at Highway Bridges crossing the Lower Gasconade River after the May 2017 Flood in Central Missouri CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County Lake Superior bathymetric contours (depth in meters) Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2014-18