U.S. Geological Survey
2007
SEAFLOORENV - Distribution of Seafloor Environments within the inner shelf of Long Bay, South Carolina (Polygon)
1.0
vector digital data
Open-File
2005-1346
http://pubs.usgs.gov/of/2005/1346/arcgis/sf_env/SeaFloorEnv.zip
Baldwin, W.E.
Denny, J.F.
Schwab, W.C.
Gayes, P.T.
Morton, R.A.
Driscoll, N.W.
2007
Geologic Framework Studies of South Carolina's Long Bay from Little River Inlet to Winyah Bay, 1999-2003; geospatial data release
1.0
Open-File Report
2005-1346
Woods Hole Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
http://pubs.usgs.gov/of/2005/1346/
In 1999, the USGS, in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget.
This data set contains polygon shapefile outlining the distribution of seafloor environments within the inner shelf of Long Bay. Interpretations of the sea floor environments offshore of the Grand Strand, SC, are based on textural information of surficial sediments, sidescan-sonar imagery, swath bathymetry, and seismic-reflection data.
2007
publication date
None planned
-79.159710
-78.515347
33.847088
33.197669
General
U.S. Geological Survey
USGS
Woods Hole Science Center
WHSC
Coastal and Marine Geology Program
CMGP
grab samples
sample texture
grain size
sea floor environments
ESRI polygon shapefile
interpretive data layer
ISO 19115 Topic Category
oceans
oceans and coastal
oceans and estuaries
geoscientificInformation
General
South Carolina
Grand Strand
North Myrtle Beach
Myrtle Beach
Surfside
Garden City
Pawleys Island
Waites Island
Southeast United States
United States
Atlantic Ocean
None
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.
Jane Denny
U.S. Geological Survey
Geologist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2311
508-457-2310
jdenny@usgs.gov
http://pubs.usgs.gov/of/2005/1346/images/seafloorenv.jpg
Image of the distribution of seafloor environments within the inner shelf of Long Bay
JPEG
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.780
These data were interpretted from sidescan-sonar, seismic-reflection and
sample data at a regional scale of 1:75,000.
No additional checks for topological consistency were performed on the data.
These interpretations were based on sidescan-sonar, seiemic-reflection and sample data collected offshore of Myrtle Beach, SC 1999 - 2003 by the USGS and Coastal Carolina University. No additional data collection or interpretations are planned.
Interpretations of the sea floor environments are derived from sidescan-sonar, swath bathymetry, seismic-reflection and sample data. The accuracy is dependent on the source data, which were navigated using Differential GPS. The sidescan-sonar data show the greatest error (~ +/- 10 m). Thus, these interpretations are assumed to be within +/- 10 m).
Interpretations of the sea floor environments offshore of the Grand Strand, SC were derived from sidescan-sonar imagery, swath bathymetry, surface sediment texture, and seismic-reflection data defining the underlying geology. Polygons were hand digitized within ArcGIS 9.0.
2004
Jane Denny
U.S. Geological Survey
Geologist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2311
508-457-2310
jdenny@usgs.gov
Vector
G-polygon
7
0.000001
0.000001
Decimal degrees
D_WGS_1984
WGS_1984
6378137.000000
298.257224
seafloorenv
ESRI polygon shapefile
ESRI
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Name
Description of sea floor environment
USGS
Hardground
Seafloor environment
USGS
Inlet-Associated Shoal
Seafloor environment
USGS
Mixed
Seafloor environment
USGS
Shore-Detached Shoal
Seafloor environment
USGS
U.S. Geological Survey
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700
508-457-2310
Downloadable Data
Although all data have been used by the USGS, no warranty, expressed or implied, is made by the USGS as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
SHP
ArcGIS 9.0
ESRI polygon shapefile
Shapefile contains polygons outlining sea floor environments offshore of the Grand Strand, SC
no compression applied
0.006
http://pubs.usgs.gov/of/2005/1346/arcgis/sf_env/SeaFloorEnv.zip
Data can be downloaded via the World Wide Web (WWW)
DVD-ROM
4.75
Gbytes
UDF
None
These data are available in Environmental Systems Research Institute (ESRI) shapefile format. The user must have ArcGIS or ArcView 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, ArcExplorer, capable of displaying the data is available from ESRI at www.esri.com.
20070123
Jane Denny
U.S. Geological Survey
Geologist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2311
508-457-2310
jdenny@usgs.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile