The U.S. Geological Survey (USGS), in cooperation with the City of Shawnee, performed a detailed bathymetric survey of Shawnee Reservoir in 2016. Shawnee Reservoir (locally known as Shawnee Twin Lakes) is a man-made reservoir on South Deer Creek in Pottawatomie County, Oklahoma. The reservoir consists of two lakes connected by an equilibrium channel. The southern lake (Shawnee City Lake Number 1) was impounded in 1935 and the northern lake (Shawnee City Lake Number 2) was impounded in 1960. Shawnee Reservoir has a normal pool elevation of 1,069.0 feet above North American Vertical Datum of 1988. The auxiliary spillway, which defines the flood pool, is at an elevation of 1,075.0 feet above North American Vertical Datum of 1988.

Rockdale County Department of Water Resources (RCDWR) has a mission to update estimates of the reservoir storage capacity of Randy Poynter Lake in northern Georgia and to assess recent sedimentation. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) collected bathymetric data from November 29, 2022 to December 4, 2022 in support of RCDWR’s mission. Bathymetric 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, similar to methodologies described by Huizinga (2017). The final dataset of lakebed elevations (RandyPoynter2022_points.shp) is provided in ESRI Shapefile format (ESRI, 1998) as three-dimensional (3D) point feature geometries projected in the Universal Transverse Mercator (UTM) coordinate system, zone 17 north (N), horizontally referenced to the North American Datum of 1983, 2011 realization (NAD83 (2011)) and vertically referenced to the North American Vertical Datum of 1988 (NAVD88) (NGS, 2018b). The shapefile’s attribute table provides an uncertainty estimate for each 3D point in units of meters. Elevations and uncertainties were estimated at a grid spacing of 0.5 meters using the Combined Uncertainty and Bathymetric Estimator (CUBE) algorithm (Calder and Wells, 2007) implemented in HYPACK 2022, a hydrographic collection and post-processing software. The 2022 point dataset of gridded lakebed elevations was combined with additional elevation data outside of the area collected by the MBMS up to the flood pool elevation of about 225.5 meters, or 739.9 feet (Rockdale County, 2013). The supplemental data included topographic bare-earth aerial light detection and ranging (lidar) points collected between 2018 and 2019, publicly available from the USGS 3D Elevation Program (3DEP), as well as topographic bare-earth lidar and single-beam data collected by Lee (2012). The multisource elevation dataset was used to generate a continuous surface up to the flood pool elevation from which topo-bathymetric contours were created at both 2-foot and 0.5-meter intervals. The topographic contours are provided in ESRI Shapefile format with an attribute table and metadata in the zipped archive named RandyPoynter2022_contours.zip.

Rockdale County Department of Water Resources (RCDWR) has a mission to update estimates of the reservoir storage capacity of Randy Poynter Lake in northern Georgia and to assess recent sedimentation. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) collected bathymetric data from November 29, 2022 to December 4, 2022 in support of RCDWR’s mission. Bathymetric 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, similar to methodologies described by Huizinga (2017). The final dataset of lakebed elevations (RandyPoynter2022_points.shp) is provided in ESRI Shapefile format (ESRI, 1998) as three-dimensional (3D) point feature geometries projected in the Universal Transverse Mercator (UTM) coordinate system, zone 17 north (N), horizontally referenced to the North American Datum of 1983, 2011 realization (NAD83 (2011)) and vertically referenced to the North American Vertical Datum of 1988 (NAVD88) (NGS, 2018b). The shapefile’s attribute table provides an uncertainty estimate for each 3D point in units of meters. Elevations and uncertainties were estimated at a grid spacing of 0.5 meters using the Combined Uncertainty and Bathymetric Estimator (CUBE) algorithm (Calder and Wells, 2007) implemented in HYPACK 2022, a hydrographic collection and post-processing software. The 2022 point dataset of gridded lakebed elevations was combined with additional elevation data outside of the area collected by the MBMS up to the flood pool elevation of about 225.5 meters, or 739.9 feet (Rockdale County, 2013). The supplemental data included topographic bare-earth aerial light detection and ranging (lidar) points collected between 2018 and 2019, publicly available from the USGS 3D Elevation Program (3DEP), as well as topographic bare-earth lidar and single-beam data collected by Lee (2012). The multisource elevation dataset was used to generate a continuous surface up to the flood pool elevation from which topo-bathymetric contours were created at both 2-foot and 0.5-meter intervals. The topographic contours are provided in ESRI Shapefile format with an attribute table and metadata in the zipped archive named RandyPoynter2022_contours.zip.

A bathymetric survey of Gillham Lake, Arkansas, was conducted in late June 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys like those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 431-559 feet (ft) above the North American Vertical Datum of 1988 (NAVD88) and for conservation pool elevation 502.1 ft and flood pool elevation 569.1 ft. Products in this data release are stored within an Esri file geodatabase and include: 1) point datasets of the bathymetric and LiDAR surveys; 2) point data representing the stream channels of select tributaries where bathymetric data were sparse, digitized from historical topographic maps; 3) clipping polygons representing the extent of the LiDAR data the and flood pool; 4) Two DEMs, one representing the extent of the LiDAR data used in the study and the other representing the extent of the flood pool; 5) bathymetric contours at 10-ft intervals, derived from the DEM of the extent of the LiDAR and clipped to the extent of flood pool; and 6) a table of volume (storage capacity) of the lake. A third DEM, representing the extent of the LiDAR, is provided in GeoTIFF format for use with softwares other than Esri ArcGIS. In April 2019, it was discovered that some of the areas in shallow and/or tree-ridden areas of the lake that had not been surveyed needed additional data in order to generate a more topographically realistic surface. Additional data were interpolated from a combination of elevation data from pre-impoundment topographic maps and from the point datasets of the bathymetric and LiDAR surveys. The interpolated data was added to the geodatabase, the final products re-created, metadata edited accordingly, and the data release reviewed. In response to the second review, a vertical datum discrepancy between the single beam and multi-beam bathymetric datasets was addressed and select areas of erroneous bathymetric data were edited. First release: October 2018; revised April 2020 (version 1.1). The previous version can be obtained by contacting the USGS Lower Mississippi-Gulf Water Science Center using the "Point of Contact" link on the landing page on ScienceBase. References: Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409; U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey, https://nationalmap.gov/3DEP; Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.

A bathymetric survey of Gillham Lake, Arkansas, was conducted in late June 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys like those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 431-559 feet (ft) above the North American Vertical Datum of 1988 (NAVD88) and for conservation pool elevation 502.1 ft and flood pool elevation 569.1 ft. Products in this data release are stored within an Esri file geodatabase and include: 1) point datasets of the bathymetric and LiDAR surveys; 2) point data representing the stream channels of select tributaries where bathymetric data were sparse, digitized from historical topographic maps; 3) clipping polygons representing the extent of the LiDAR data the and flood pool; 4) Two DEMs, one representing the extent of the LiDAR data used in the study and the other representing the extent of the flood pool; 5) bathymetric contours at 10-ft intervals, derived from the DEM of the extent of the LiDAR and clipped to the extent of flood pool; and 6) a table of volume (storage capacity) of the lake. A third DEM, representing the extent of the LiDAR, is provided in GeoTIFF format for use with softwares other than Esri ArcGIS. In April 2019, it was discovered that some of the areas in shallow and/or tree-ridden areas of the lake that had not been surveyed needed additional data in order to generate a more topographically realistic surface. Additional data were interpolated from a combination of elevation data from pre-impoundment topographic maps and from the point datasets of the bathymetric and LiDAR surveys. The interpolated data was added to the geodatabase, the final products re-created, metadata edited accordingly, and the data release reviewed. In response to the second review, a vertical datum discrepancy between the single beam and multi-beam bathymetric datasets was addressed and select areas of erroneous bathymetric data were edited. First release: October 2018; revised April 2020 (version 1.1). The previous version can be obtained by contacting the USGS Lower Mississippi-Gulf Water Science Center using the "Point of Contact" link on the landing page on ScienceBase. References: Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409; U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey, https://nationalmap.gov/3DEP; Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.

These data are bathymetry (river bottom elevation) in XYZ format (Easting, Northing, Elevation), generated from the September 17–18, 2020, survey of the Kentucky Dam tailwater from just downstream from Kentucky Dam to approximately 1,500 feet upstream from the I-24 bridge (about 1 mile total length). Bathymetric data were collected using an acoustic Doppler current profiler (ADCP) with an integrated global navigation satellite system (GNSS) smart antenna. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the tailwater along planned survey lines. There was typically one reciprocal pair (two passes) of data collected per line. There was a total of 53 survey lines equally spaced 100 feet apart and oriented approximately perpendicular to the primary flow direction. Data collection software integrated and stored the depth and position data from the ADCP and GNSS antenna in real time. Water-surface elevations were measured at each planned line throughout the survey area with a survey-grade integrated GNSS system with real-time kinematic (RTK) observations in order to convert measured bathymetric depths to elevations referenced to NAVD 88. RTK observations were made using the Kentucky Continually Operating Reference System (KYCORS) network operated by the Kentucky Transportation Cabinet. Data processing required computer software to extract the bathymetric data from the raw data files and to summarize and map the information.

These data are bathymetry (river bottom elevation) in XYZ format (Easting, Northing, Elevation), generated from the September 17–18, 2020, survey of the Kentucky Dam tailwater from just downstream from Kentucky Dam to approximately 1,500 feet upstream from the I-24 bridge (about 1 mile total length). Bathymetric data were collected using an acoustic Doppler current profiler (ADCP) with an integrated global navigation satellite system (GNSS) smart antenna. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the tailwater along planned survey lines. There was typically one reciprocal pair (two passes) of data collected per line. There was a total of 53 survey lines equally spaced 100 feet apart and oriented approximately perpendicular to the primary flow direction. Data collection software integrated and stored the depth and position data from the ADCP and GNSS antenna in real time. Water-surface elevations were measured at each planned line throughout the survey area with a survey-grade integrated GNSS system with real-time kinematic (RTK) observations in order to convert measured bathymetric depths to elevations referenced to NAVD 88. RTK observations were made using the Kentucky Continually Operating Reference System (KYCORS) network operated by the Kentucky Transportation Cabinet. Data processing required computer software to extract the bathymetric data from the raw data files and to summarize and map the information.

Water-supply lakes are the primary source of water for many communities throughout Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water-supply. Many of the water-supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In April and May 2023, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the cities of Adrian, Ironton, Unity Village, and Vandalia, Missouri, completed bathymetric surveys of six (6) lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At Adrian, supplemental data were collected in a shallow upper reservoir using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary benchmarks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the surveys are provided in ESRI Shapefile format (ESRI, 2023). Each of the six lakes surveyed in 2023 has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. The zip files follow the format of "####2023_bathy_pts.zip" or ####2023_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the associated metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2023) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the associated metadata file. References Cited: Environmental Systems Research Institute, 2023, ArcGIS: accessed July 12, 2023, at https://www.esri.com/en-us/arcgis/about-arcgis/overview. Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report

Water-supply lakes are the primary source of water for many communities throughout Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water-supply. Many of the water-supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In April and May 2023, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the cities of Adrian, Ironton, Unity Village, and Vandalia, Missouri, completed bathymetric surveys of six (6) lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At Adrian, supplemental data were collected in a shallow upper reservoir using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary benchmarks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the surveys are provided in ESRI Shapefile format (ESRI, 2023). Each of the six lakes surveyed in 2023 has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. The zip files follow the format of "####2023_bathy_pts.zip" or ####2023_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the associated metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2023) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the associated metadata file. References Cited: Environmental Systems Research Institute, 2023, ArcGIS: accessed July 12, 2023, at https://www.esri.com/en-us/arcgis/about-arcgis/overview. Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report

These data are bathymetry (river bottom elevation) and depth-averaged velocities generated from the September 17–18, 2020, survey of the Kentucky Dam tailwater from just downstream from Kentucky Dam to approximately 1,500 feet upstream from the I-24 bridge (about 1 mile total length). Bathymetry and velocity data were collected using an acoustic Doppler current profiler (ADCP) with an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the tailwater along planned survey lines. There was typically one reciprocal pair (two passes) of data collected per line. There was a total of 53 survey lines equally spaced 100 feet apart and oriented approximately perpendicular to the primary flow direction. Data collection software integrated and stored the depth, velocity, and position data from the ADCP and GNSS antenna in real time. Data processing required computer software to extract the bathymetric data from the raw data files and to summarize and map the information. Water-surface elevations were measured at each planned line throughout the survey area with a survey-grade integrated GNSS system with real-time kinematic (RTK) observations in order to convert measured bathymetric depths to elevations referenced to NAVD 88. RTK observations were made using the Kentucky Continually Operating Reference System (KYCORS) network operated by the Kentucky Transportation Cabinet. Data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013) to derive temporally- and spatially-averaged water velocity values. The surveys were conducted during steady discharge conditions from the hydropower turbines at Kentucky Dam. These data were collected to understand flow patterns in the Kentucky Dam tailwater during different discharge conditions from the hydropower turbines at Kentucky Dam and may be used to assist in invasive carp capture and control programs.