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Water depth is an important feature of aquatic systems. On the Upper Mississippi River System (UMRS), water depth data are important for describing the physical template of the system and monitoring changes in the template caused by sedimentation. Although limited point or transect sampling of water depth can provide valuable information on habitat character in the UMRS as a whole, the generation of bathymetric surfaces are critical for conducting spatial inventories of the aquatic habitat. The maps are also useful for detecting bed elevation changes in a spatial manner as opposed to the more common method of measuring changes along transects. The Upper Midwest Environmental Sciences Center (UMESC) has been collecting...
Categories: Data; Tags: bathymetry
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Water depth is an important feature of aquatic systems. On the Upper Mississippi River System (UMRS), water depth data are important for describing the physical template of the system and monitoring changes in the template caused by sedimentation. Although limited point or transect sampling of water depth can provide valuable information on habitat character in the UMRS as a whole, the generation of bathymetric surfaces are critical for conducting spatial inventories of the aquatic habitat. The maps are also useful for detecting bed elevation changes in a spatial manner as opposed to the more common method of measuring changes along transects. The Upper Midwest Environmental Sciences Center (UMESC) has been collecting...
Categories: Data; Tags: bathymetry
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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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. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. These information needs were 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 Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.
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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. These datasets were 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 habitats of the Illinois River will be interpreted to support Asian carp research, monitoring and control. The entire study plan will consist 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), will have priority areas and backwaters collected and analyzed first.
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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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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 is a digital elevation model (DEM) of the beach topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The 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. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
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The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography and multibeam sonar data representing the bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated...
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A digital elevation model hillshade generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. A hillshade is a grayscale 3D representation of a surface.
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A backscatter raster generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. Backscatter is the reflection of a signal and can help when determining bottom types. Harder bottom types (like rock) reflect more sound than softer bottom types (like mud), and smoother bottom types reflect more sound than rugged bottom types.
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This part of DS 781 presents data for the geologic and geomorphic map of the Offshore of Scott Creek map area, California. The vector data file is included in "Geology_OffshoreScottCreek.zip," which is accessible from https://doi.org/10.5066/F7CJ8BJW. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series--Offshore of Scott Creek, California: U.S. Geological Survey Open-File Report 2015-1191,...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, Marine Nearshore Subtidal, Marine Offshore Subtidal, All tags...
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This section of the data release includes tables in the format of comma-separated value (CSV) files with elevation-area-volume relationships for Great Salt Lake. The volume and area of Great Salt Lake were calculated from the topobathymetric raster dataset, which was resampled from 0.5-meter to 5.0-meter resolution, at elevation increments of 0.01 feet between 4,170.00–4,215.00 ft above the North American Vertical Datum of 1988. Data are provided as total values for Great Salt Lake as well as regional values for the north arm, south arm, Bear River Bay, and Farmington Bay.
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Kootenai river hydraulic conditions were simulated using the iRIC FaSTMECH two-dimensional hydraulic flow model (Nelson, 2003). In addition to this study, FaSTMECH 2D flow models have been developed for numerous Kootenai River studies dating back to 2005. The methods used to develop, calibrate, and simulate FaSTMECH 2D flow models are described at length in multiple previous studies (Fosness and Dudunake, in press; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Model simulations were combined with white sturgeon telemetry data to explain fish positions with respect to selected depths and depth-averaged velocity.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Bonners Ferry, Boundary, Ecology, Idaho, All tags...
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This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell and mouth of the Columbia River, Washington and Oregon, in 2022 (USGS Field Activity Number 2022-641-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 either an Odom Echotrac CV-100 or CEE Hydrosystems Ceescope 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...


map background search result map search result map Bathymetric data for the Upper Mississippi and Illinois Rivers -- Pool 07 Bathymetric data for the Upper Mississippi and Illinois Rivers -- Pool 05 Geology and geomorphology--Offshore of Scott Creek map area, California UMRR Illinois River La Grange Reach Bathymetry Footprint UMRR Mississippi River Navigation Pool 02 Bathymetry Footprint UMRR Mississippi River Navigation Pool 05a Bathymetry Footprint White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Bathymetry Elevation Hillshade Minnesota Point: Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Duluth Entry: 1-meter Digital elevation model (DEM) of beach topography of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Lock and Dam 19 Backscatter, 2019 Lock and Dam 19 Hillshade, 2019 St. Croix River - Bathymetry Digital Elevation Model (DEM) - 2018 Mississippi National River and Recreation Area, ADCP Flow Diffusion of the Mississippi River near Hidden Falls, MN, 20190829 Illinois River, Peoria Side Channel - Hennepin Island, Multibeam Bathymetry, September 2019 Illinois River, Dresden, Bathymetric Hillshade, 2018 Illinois River, Starved Rock, Bathymetric Slope, 2017-2018 Illinois River Benthic Mapping - Brandon Substrate Characterization and Supporting Bathymetric Derivatives Great Salt Lake Elevation-Area-Volume Tables Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2022 Lock and Dam 19 Hillshade, 2019 Lock and Dam 19 Backscatter, 2019 Illinois River, Peoria Side Channel - Hennepin Island, Multibeam Bathymetry, September 2019 SACN Osceola Boat Landing: 2019 Digital Elevation Model (DEM), Bathymetry Elevation Hillshade White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017 Duluth Entry: 1-meter Digital elevation model (DEM) of beach topography of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Minnesota Point: Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Mississippi National River and Recreation Area, ADCP Flow Diffusion of the Mississippi River near Hidden Falls, MN, 20190829 UMRR Mississippi River Navigation Pool 05a Bathymetry Footprint Bathymetric data for the Upper Mississippi and Illinois Rivers -- Pool 05 Illinois River, Dresden, Bathymetric Hillshade, 2018 Bathymetric data for the Upper Mississippi and Illinois Rivers -- Pool 07 Geology and geomorphology--Offshore of Scott Creek map area, California UMRR Mississippi River Navigation Pool 02 Bathymetry Footprint Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2022 UMRR Illinois River La Grange Reach Bathymetry Footprint Great Salt Lake Elevation-Area-Volume Tables