Bathymetric data for Sugar Creek Lake near Moberly, Missouri, 2018
Dates
Publication Date
2019-03-07
Start Date
2018-09-05
End Date
2018-09-06
Citation
Richards, J.M., and Huizinga, R.J., 2019, Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9XDVRMT.
Summary
Collection of bathymetric data in September 2018 at Sugar Creek Lake near Moberly, Missouri, used a marine-based mobile mapping unit that operates with several components: a multibeam echosounder (MBES) unit, an inertial navigation system (INS), and a data acquisition computer. Bathymetric data was collected using the MBES unit in longitudinal transects to provide complete coverage of the lake. The MBES was tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than 2.5 meters deep (the practical limit of reasonable and safe data collection with the MBES). The resulting bathymetric dataset was processed using filters in the HYPACK/HYSWEEP software (http://www.hypack.com) to remove [...]
Summary
Collection of bathymetric data in September 2018 at Sugar Creek Lake near Moberly, Missouri, used a marine-based mobile mapping unit that operates with several components: a multibeam echosounder (MBES) unit, an inertial navigation system (INS), and a data acquisition computer. Bathymetric data was collected using the MBES unit in longitudinal transects to provide complete coverage of the lake. The MBES was tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than 2.5 meters deep (the practical limit of reasonable and safe data collection with the MBES). The resulting bathymetric dataset was processed using filters in the HYPACK/HYSWEEP software (http://www.hypack.com) to remove data spikes or erroneous points. The filtered multibeam data were gridded to 1.64 feet (0.5 meter) using the elevation values computed from the combined uncertainty and bathymetric estimator method (CUBE) which provides an estimate of the bathymetric elevation and the total propagated uncertainty at each gridded location. Further quality assurance evaluation of the gridded CUBE data included removal of data points with extremely high uncertainty values, removal of data points that plotted outside of the shoreline that was topographically derived from lidar data, and removal of data points that were higher in elevation than the minimum lake surface elevation during surveying. The resulting gridded bathymetric data set contained approximately 4.5 million points.
Points used to create the bathymetric surface (mapping points) were selected from the 4.5-million-point data set such that the minimum distance between any two points would be no less than 3.28 feet (1 meter). Points used to evaluate the vertical accuracy of the bathymetric surface relative to the point elevations (quality-assurance points) were randomly chosen from the 4.5-million-point data set. Selection of the quality-assurance points purposely avoided any mapping points used to make the bathymetric surface. Mapping points and quality-assurance points are identified by attributes in the data set.
The data are provided in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that has been compressed into a zip archive that is named scl_bath.zip.
Click on title to download individual files attached to this item.
scl_bath.shp.xml Original FGDC Metadata
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scl_bath.zip
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Purpose
The Missouri Department of Natural Resources (MDNR), Water Resource Center and Missouri’s Safe Drinking Water Program has the responsibility of assisting state residents in assuring an adequate and safe water supply. As a result, a water supply study has been ongoing to ensure availability of water information for effective decision-making by communities and MDNR program managers. One of the benefits of the study is to determine and allocate existing water supplies, with the scope of the study to addresses surface-water supplies for cities and communities that are expected to experience water shortages during an extended drought. Surface-water supplies consist of lakes and streams and in many cases combinations of both. Water supply lake bathymetric surveys are integral to the water availability assessments during potential water shortages.
