The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Lees Ferry, Arizona, on September 23, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data. The ASTRALiTe lidar instrument was mounted on a cataraft owned and operated by USGS Grand Canyon Monitoring and Research Center. This data release includes data delivered to the USGS by ASTRALite on November 1, 2019. The data are in *txt format and include bare earth (i.e., river bed) and water surface returns and have not been filtered or modified in any other way.

The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Parshall, Colorado, on June 13, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on August 1, 2019. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Parshall, Colorado, on June 13, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on August 1, 2019. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system upstream and downstream of its confluence with the Blue River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on November 15, 2018. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system upstream and downstream of its confluence with the Blue River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on November 15, 2018. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

The U.S. Geological Survey contracted with LiteWave Technologies (formerly ASTRALiTe) to fly their production topo-bathymetric lidar system (Edge) along the Colorado River near McCoy, Colorado, on September 8-9, 2021. The objective of this project was to assess the potential to map river bathymetry (i.e., river-bed topography) using lidar data collected from an uncrewed aircraft system (UAS). The Edge was mounted on a UAS owned and operated by LiteWave Technologies. This data release includes data delivered to the USGS by LiteWave Technologies on November 9, 2021. Grid coordinates are projected in Universal Transverse Mercator Zone 13 North and are represented in units of meters. The topo-bathymetric elevations, in units of meters, delivered by the contractor are believed to be relative to the height of the GRS80 ellipsoid and differ from the more commonly used orthometric height computed by the addition of the geoid height to the GRS80 ellipsoid. The data is provided as a LAS file which includes points classified as bathymetric or river bottom (code 40), created, never classified (code 0), and water surface returns (code 41). These data delivered to USGS have not been filtered or modified.

The U.S. Geological Survey contracted with LiteWave Technologies (formerly ASTRALiTe) to fly their production topo-bathymetric lidar system (Edge) along the Colorado River near McCoy, Colorado, on September 8-9, 2021. The objective of this project was to assess the potential to map river bathymetry (i.e., river-bed topography) using lidar data collected from an uncrewed aircraft system (UAS). The Edge was mounted on a UAS owned and operated by LiteWave Technologies. This data release includes data delivered to the USGS by LiteWave Technologies on November 9, 2021. Grid coordinates are projected in Universal Transverse Mercator Zone 13 North and are represented in units of meters. The topo-bathymetric elevations, in units of meters, delivered by the contractor are believed to be relative to the height of the GRS80 ellipsoid and differ from the more commonly used orthometric height computed by the addition of the geoid height to the GRS80 ellipsoid. The data is provided as a LAS file which includes points classified as bathymetric or river bottom (code 40), created, never classified (code 0), and water surface returns (code 41). These data delivered to USGS have not been filtered or modified.

The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by ASTRALite on November 15, 2018. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric raster Digital Elevation Models (DEM's) with a 1 m cell size in an Arc GRID format. The rasters provided in this data release are subsets focused on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek; supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data. Three files based on the LiDAR coverage are included in this data release: 1) a topographic DEM with water surface elevations in the channel; 2) a bathymetric DEM with channel bed elevations; and 3) a depth map produced by subtracting the bathymetric DEM from the topographic DEM to calculate the depth as the difference between the water surface elevation and the bed elevation. These data sets are provided as ENVI format files with associated header files.

A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). XYZ (point) data from the bathymetric survey were merged with XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase. A terrain (digital terrain model, or DTM) of the lakebed below flood pool elevation 474 ft above the North American Vertical Datum of 1988 (NAVD88) was created from the XYZ (point) data and stored in the geodatabase. Child items derived from the DTM and stored in the geodatabase include a digital elevation model (DEM) in Esri GRID format with a cell size of 3 ft, a feature class of elevation contours at 10-ft intervals, a table of surface area and storage capacity (volume) of the lake at 1-ft increments in water surface elevation, and a python script used to incrementally compute the storage capacity. References: Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.