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Minnesota River Bathymetry: 2013 - 2016


Authors: Sara Kelly · Bruce Call · Shayler Levine · Patrick Belmont · Phillip Larson
Owners: Sara Kelly
DOI:10.4211/hs.6cd3728f69cb4cb39c6f11baac1734ec How to Cite
Resource type:Composite Resource
Created:Sep 21, 2017 at 10:44 p.m.
Last updated: Jul 01, 2018 at midnight by Sara Kelly

Abstract

River bathymetry data were collected between 2013 and 2016 at 10 Minnesota sites along the Minnesota River between Granite Falls and Shakopee. In total, 234.2 km were surveyed, with the most coverage between Mankato and Shakopee. We surveyed the Minnesota River using a cataraft with an outboard motor, an acoustic doppler current profiler, and a GPS to collect depth and positioning information. ADCP and GPS data were post processed using python scripts to take advantage of the four beam depths and correct for orthometric elevations. Channel bed elevations were calculated from the water surface elevation and measured depth. Bed elevation points were interpolated into a tin, then 1m x 1m rasters. For each year we have included rasters for each site, a shapefile of survey points, survey polygons, and raw measurement files from the ADCP software WinRiver II.

Subject Keywords

Minnesota River,ADCP,Bathymetry

How to cite

Kelly, S., B. Call, S. Levine, P. Belmont, P. Larson (2018). Minnesota River Bathymetry: 2013 - 2016 , HydroShare, https://doi.org/10.4211/hs.6cd3728f69cb4cb39c6f11baac1734ec

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Sara Kelly Utah State University
Bruce Call Utah State University
Shayler Levine Utah State University
Patrick Belmont Utah State University Utah, US
Phillip Larson Minnesota State University Mankato

Credits

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Minnesota Department of Natural Resources
National Science Foundation ENG 1209445

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