The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Upper Missouri River near Wolf Point, MT. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single beam sonar surveys collected between June 2018 and July 2019 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Upper Missouri River near Wolf Point, MT. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single beam sonar surveys collected between June 2018 and July 2019 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Osage River downstream from Bagnell, Missouri. Channel topography was generated from data collected by USGS staff from the Columbia Environmental Research Center during single beam sonar surveys of the channel bed in March through May 2022 and terrestrial light detection and ranging (LiDAR) surveys of channel banks in December 2021. Floodplain topography was generated from airborne LiDAR data downloaded from the Missouri Spatial Data Information Service (MSDIS).

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Osage River downstream from Bagnell, Missouri. Channel topography was generated from data collected by USGS staff from the Columbia Environmental Research Center during single beam sonar surveys of the channel bed in March through May 2022 and terrestrial light detection and ranging (LiDAR) surveys of channel banks in December 2021. Floodplain topography was generated from airborne LiDAR data downloaded from the Missouri Spatial Data Information Service (MSDIS).

This dataset contains digital elevation models (DEMs) for four reaches of the Big River in Missouri. The study reaches are as follows: Site W (STW), Rockford Beach (RFB), Phelps Bend (PHB), and Washington State Park (WSP). The reach DEMs were created in support of research assessing the hydraulic conditions of freshwater mussel habitat in the Big River. Channel and bank elevations were generated from data collected by USGS staff from the Columbia Environmental Research Center between February 2019 and January 2020 using single-beam echosounder surveys, manual Global Navigation Satellite System (GNSS) topographic surveys, and terrestrial light detection and ranging (lidar) surveys. Elevations for areas beyond the active channel were generated from Missouri aerial lidar data collected between December 2010 and April 2011 by the Surdex Corporation for the U.S. Army Corps of Engineers St. Louis District. Prior to DEM generation, elevations were locally smoothed to remove small tributary drainages that would lead to erroneous water routing during modeling.

This dataset contains digital elevation models (DEMs) for four reaches of the Big River in Missouri. The study reaches are as follows: Site W (STW), Rockford Beach (RFB), Phelps Bend (PHB), and Washington State Park (WSP). The reach DEMs were created in support of research assessing the hydraulic conditions of freshwater mussel habitat in the Big River. Channel and bank elevations were generated from data collected by USGS staff from the Columbia Environmental Research Center between February 2019 and January 2020 using single-beam echosounder surveys, manual Global Navigation Satellite System (GNSS) topographic surveys, and terrestrial light detection and ranging (lidar) surveys. Elevations for areas beyond the active channel were generated from Missouri aerial lidar data collected between December 2010 and April 2011 by the Surdex Corporation for the U.S. Army Corps of Engineers St. Louis District. Prior to DEM generation, elevations were locally smoothed to remove small tributary drainages that would lead to erroneous water routing during modeling.

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in September 2014. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams between 2011 and 2014 induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the response of a delta system to changes in sediment supply. The U.S. Geological Survey developed an integrated research program aimed at understanding the ecosystem responses following dam removal that included regular monitoring of coastal and nearshore bathymetry and topography. As part of this monitoring program, the USGS conducted a bathymetric and topographic survey in the Strait of Juan de Fuca on the Elwha River delta, Washington (USGS Field Activity Number 2014-649-FA). Bathymetry data were collected using two personal watercraft (PWCs), each equipped with single-beam echosounders and survey-grade global navigation satellite systems (GNSS). Topography data were collected on foot with GNSS receivers mounted on backpacks. DEM surfaces were produced from all available elevation data using linear interpolation.

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in September 2014. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams between 2011 and 2014 induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the response of a delta system to changes in sediment supply. The U.S. Geological Survey developed an integrated research program aimed at understanding the ecosystem responses following dam removal that included regular monitoring of coastal and nearshore bathymetry and topography. As part of this monitoring program, the USGS conducted a bathymetric and topographic survey in the Strait of Juan de Fuca on the Elwha River delta, Washington (USGS Field Activity Number 2014-649-FA). Bathymetry data were collected using two personal watercraft (PWCs), each equipped with single-beam echosounders and survey-grade global navigation satellite systems (GNSS). Topography data were collected on foot with GNSS receivers mounted on backpacks. DEM surfaces were produced from all available elevation data using linear interpolation.