Digital elevation model (DEM) of Norfork Lake, Arkansas-Missouri, derived from 2015 terrain dataset.
Dates
Publication Date
2017-09-30
Begin LiDAR survey
2008-03-09
End LiDAR survey
2008-03-12
Begin bathymetric survey
2015-09-23
End bathymetric survey
2015-10-11
Citation
Wagner, Daniel M., and Lee, Kathryn G., 2017, Bathymetry and Storage Capacity of Norfork Lake, Arkansas-Missouri, 2015: https://doi.org/10.5066/F73B5XC0.
Summary
The dataset is a digital elevation model (DEM) of the bathymetry of Norfork Lake, Arkansas-Missouri, below a pool elevation of 580 ft above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of point (XYZ) data collected during an aerial LiDAR survey conducted in March, 2008, and a bathymetric survey conducted in September-October, 2015. References: Lee, 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, 2016, Bathymetric and velocimetric [...]
Summary
The dataset is a digital elevation model (DEM) of the bathymetry of Norfork Lake, Arkansas-Missouri, below a pool elevation of 580 ft above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of point (XYZ) data collected during an aerial LiDAR survey conducted in March, 2008, and a bathymetric survey conducted in September-October, 2015. References: Lee, 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, 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.
