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Resource Abstract:
description: A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 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 (2013) and Huizinga (2016). Point (XYZ) data from the bathymetric survey were merged with XYZ data collected during a March 2008 aerial LiDAR survey provided by 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) was created from the XYZ data and stored in the geodatabase. Products derived from the DTM and stored in the geodatabase include a digital elevation model (DEM), a feature class of elevation contours, a table of surface area and storage capacity (volume) of the lake, and a Python script used to incrementally compute the storage capacity. 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 24, 2015: U.S. Geological Survey Scientific Investigations Report 20165061, 93 p., http://dx.doi.org/10.3133/sir20165061.; abstract: A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 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 (2013) and Huizinga (2016). Point (XYZ) data from the bathymetric survey were merged with XYZ data collected during a March 2008 aerial LiDAR survey provided by 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) was created from the XYZ data and stored in the geodatabase. Products derived from the DTM and stored in the geodatabase include a digital elevation model (DEM), a feature class of elevation contours, a table of surface area and storage capacity (volume) of the lake, and a Python script used to incrementally compute the storage capacity. 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 24, 2015: U.S. Geological Survey Scientific Investigations Report 20165061, 93 p., http://dx.doi.org/10.3133/sir20165061.
Citation
Title Geodatabase containing bathymetric and LiDAR data for Norfork Lake, Arkansas-Missouri, 2015..
creation  Date   2018-05-21T10:42:56.270115
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name Dublin Core references URL
URL:https://doi.org/10.5066/F73B5XC0
protocol WWW:LINK-1.0-http--link
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Linkage for online resource
name Dublin Core references URL
URL:https://doi.org/10.5066/F73B5XC0
protocol WWW:LINK-1.0-http--link
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Description URL provided in Dublin Core references element.
Metadata data stamp:  2018-08-06T23:01:29Z
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notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based on a transform by Damian Ulbricht. Run on 2018-08-06T23:01:29Z
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organisation Name  CINERGI Metadata catalog
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electronic Mail Addresscinergi@sdsc.edu
Metadata language  eng
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Metadata standard for this record:  ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:  2007
Metadata record identifier:  urn:dciso:metadataabout:ff208106-9b39-4643-93e4-25dc410e36c3

Metadata record format is ISO19139 XML (MD_Metadata)