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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. 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...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A0767 on Interstate 435 in Kansas City, Missouri, in 2010, 2011, and 2015. 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...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A5664 on Missouri State Highway 13 at Lexington, Missouri, in 2011, 2013, and 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 the horizontal and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A6288 on Missouri State Highway 19 at Hermann, Missouri, in 2011, 2013, and 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 the horizontal and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near dual bridge structure A5585 on Missouri State Highway 364 near St. Louis, Missouri, in 2010, 2011, and 2016. 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...
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The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Dierks Lake, Howard and Sevier Counties, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Dierks2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Hydrographic survey data were collected from May 22 through June 10, 2015, using an acoustic Doppler current profiler (ADCP) coupled with an RTK-GNSS rover. The collected hydrographic data consisted of three elements—riverbed elevations derived from bathymetry, depth-averaged streamflow velocity, and instantaneous discharge measurements. Hydrographic data were collected as the boat moved across the river at planned cross sections...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. An Acoustic Doppler Current Profiler (ADCP) was used to survey streamflow characteristics including total streamflow, velocity magnitude and secondary flow structure, and backscatter intensity at 29 cross-sections at the Myrtle Creek Bend on the Kootenai River on June 1, 2012. Each of the 29 cross-sections consisted of 4 transects or bank-to-bank coverage to obtain a representative velocity pattern. The mean daily streamflow was...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River in Kansas City, Missouri, in August 2019, as well as special surveys at two of the sites in August and October 2020 before and after installation of scour countermeasures. 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...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River in Kansas City, Missouri, for dates ranging from 2010 to 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 the horizontal and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A4060 on Missouri State Highway 9 in Kansas City, Missouri, in 2010, 2011, and 2015. 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...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A4574 on Missouri State Highway 5 at Boonville, Missouri, in 2011, 2013, and 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 the horizontal and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure L0962 on Interstate 70 near Rocheport, Missouri, in 2011, 2013, and 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 the horizontal and vertical...
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The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Gillham Lake, Sevier County, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Gillham2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric data from...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near near highway bridge structures on U.S. Highway 69 in Kansas City, Missouri, in 2010, 2011, and 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 the horizontal...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, for dates ranging from 2008 to 2016. 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...


map background search result map search result map SiteID-022 West Gallatin River at S-205 near Manhattan, MT SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA SiteID-012 Brandywine Creek at SR-3062, near Coatesville, PA SiteID-021 Madison River at I-90, near Three Forks, MT Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016 Site 24 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A5585 on Missouri State Highway 364 near St. Louis, Missouri, October 2010 through May 2016 Digital elevation model of the bathymetry of Gillham Lake, Arkansas (ver. 1.1, April 2020) Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017 Site 14 Missouri River Bathymetry and Velocimetry Data at Structure A5664 on Missouri State Highway 13 at Lexington, Missouri, July 2011 through May 2017 Site 18 Missouri River Bathymetry and Velocimetry Data at Structure A4574 on Missouri State Highway 5 at Boonville, Missouri, July 2011 through May 2017 Site 19 Missouri River Bathymetry and Velocimetry Data at Structure L0962 on Interstate 70 near Rocheport, Missouri, July 2011 through May 2017 Site 21 Missouri River Bathymetry and Velocimetry Data at Structure A6288 on Missouri State Highway 19 at Hermann, Missouri, July 2011 through May 2017 Site 07 Missouri River Bathymetry and Velocimetry Data at Highway Bridges on U.S. Highway 69 in Kansas City, Missouri, March 2010 through May 2017 Site 09 Missouri River Bathymetry and Velocimetry Data at Structure A4060 on Missouri State Highway 9 in Kansas City, Missouri, March 2010 through June 2015 Site 12 Missouri River Bathymetry and Velocimetry Data at Structure A0767 on Interstate 435 in Kansas City, Missouri, March 2010 through June 2015 Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri River in Kansas City, Missouri, in August 2019, August 2020, and October 2020 Acoustic Doppler Current Profiling near Shorty's Island, June 1, 2012, Kootenai River near Bonners Ferry, ID Depth Averaged Streamflow Velocity Data for the São Francisco River near Torrinha, Bahia, Brazil, 2014 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021 (ver. 2.0, August 2023) SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA SiteID-012 Brandywine Creek at SR-3062, near Coatesville, PA SiteID-021 Madison River at I-90, near Three Forks, MT SiteID-022 West Gallatin River at S-205 near Manhattan, MT Site 12 Missouri River Bathymetry and Velocimetry Data at Structure A0767 on Interstate 435 in Kansas City, Missouri, March 2010 through June 2015 Site 07 Missouri River Bathymetry and Velocimetry Data at Highway Bridges on U.S. Highway 69 in Kansas City, Missouri, March 2010 through May 2017 Site 18 Missouri River Bathymetry and Velocimetry Data at Structure A4574 on Missouri State Highway 5 at Boonville, Missouri, July 2011 through May 2017 Site 14 Missouri River Bathymetry and Velocimetry Data at Structure A5664 on Missouri State Highway 13 at Lexington, Missouri, July 2011 through May 2017 Site 09 Missouri River Bathymetry and Velocimetry Data at Structure A4060 on Missouri State Highway 9 in Kansas City, Missouri, March 2010 through June 2015 Site 21 Missouri River Bathymetry and Velocimetry Data at Structure A6288 on Missouri State Highway 19 at Hermann, Missouri, July 2011 through May 2017 Site 19 Missouri River Bathymetry and Velocimetry Data at Structure L0962 on Interstate 70 near Rocheport, Missouri, July 2011 through May 2017 Acoustic Doppler Current Profiling near Shorty's Island, June 1, 2012, Kootenai River near Bonners Ferry, ID Site 24 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A5585 on Missouri State Highway 364 near St. Louis, Missouri, October 2010 through May 2016 Depth Averaged Streamflow Velocity Data for the São Francisco River near Torrinha, Bahia, Brazil, 2014 Digital elevation model of the bathymetry of Gillham Lake, Arkansas (ver. 1.1, April 2020) Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021 (ver. 2.0, August 2023)