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

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 horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013), and smoothed using neighboring nodes.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5942f402e4b0764e6c65feac
metadata_type geospatial
modified 20200814
old-spatial -90.5272, 38.7338, -90.5154, 38.7406
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 79b688366ce9961cdea9fb9daa4de6b91ec59cbc
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-90.5272, 38.7338], [-90.5272, 38.7406], [ -90.5154, 38.7406], [ -90.5154, 38.7338], [-90.5272, 38.7338]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • acoustic
  • adcp
  • amerigeo
  • amerigeoss
  • ascii
  • bathymetry
  • ckan
  • doppler
  • elevation
  • geo
  • geology
  • geoscientificinformation
  • geoss
  • imagerybasemapsearthcover
  • inland-waters
  • inlandwaters
  • location
  • missouri
  • missouri-river
  • mo
  • multibeam
  • national
  • north-america
  • oceans
  • st-louis
  • structure
  • u-s-geological-survey
  • united-states
  • usa
  • usgs
  • usgs-5942f402e4b0764e6c65feac
  • water-depth
  • xyz
isopen False
license_id notspecified
license_title License not specified
maintainer Richard J. Huizinga
maintainer_email huizinga@usgs.gov
metadata_created 2025-11-22T05:18:54.103110
metadata_modified 2025-11-22T05:18:54.103114
notes 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 horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013), and smoothed using neighboring nodes.
num_resources 2
num_tags 33
title 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