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GCE-LTER Data Set Summary

Accession: GIS-GCED-1107 Research Theme: Geospatial Analysis (Directed Study)
Contributors: Richard F. Viso, Rick Peterson, Jefferey Marshall, Jamie Phillips, Shinobu Okano, Christopher McHugh, John Ledoux
Title: Digital Elevation Model (DEM) of Doboy Sound at the mouth of the Duplin River near Sapelo Island, Georgia
Abstract: The purpose of this study was to map the bathymetry of Doboy Sound near the mouth of the Duplin River adjacent to Sapelo Island, Georgia. This study extends a previous bathymetry mapping project conducted in 2009. The primary objective of the Duplin River project in 2009 was to provide data in support of understanding the sediment and water exchange process between intertidal areas and tidal creeks of the Duplin River. The Center for Marine and Wetland Studies (CMWS) surveyed the Doboy Sound using the Simrad EM3002D Multibeam Echosounder (MBES) in April 2011. A digital elevation model (DEM) was then developed based on the depth survey data.
DOI: 10.6073/pasta/d6f22f975d30823b0d89d7bcd940d2e9
Key Words: bathymetry, depth, digital elevation model, Doboy Sound, Duplin River, elevation, geographic information systems, global positioning system, landscape, mapping
LTER Core Area: Other Site Research
Research Themes: Geospatial Analysis
Study Period: 16-Apr-2011 to 18-Apr-2011
Study Sites:
GCE-DB -- Doboy Sound, Georgia, USA
GCE-DP -- Duplin River, Georgia, USA
» Download Geographic Coverage: Google Earth
Data References: GIS-GCED-1104 (2009 bathymetry survey)
Downloads: Information

GIS Raster Data: GIS-GCED-1107 (Zip archive containing ArcGIS GRID data and supporting files)

Access: Public (released 11-Jul-2011)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [23609kb]

Citation: Viso, Richard F. 2011. Digital Elevation Model (DEM) of Doboy Sound at the mouth of the Duplin River near Sapelo Island, Georgia. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/d6f22f975d30823b0d89d7bcd940d2e9

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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.