SEAFLOORENV - Distribution of Seafloor Environments within the inner shelf of Long Bay, South Carolina (Polygon)

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: U.S. Geological Survey

Publication_Date: 2007

Title:

SEAFLOORENV - Distribution of Seafloor Environments within the inner shelf of Long Bay, South Carolina (Polygon)

Edition: 1.0

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: Open-File
Issue_Identification: 2005-1346

Online_Linkage: <http://pubs.usgs.gov/of/2005/1346/arcgis/sf_env/SeaFloorEnv.zip>

Larger_Work_Citation:

Citation_Information:

Originator: Baldwin, W.E.

Originator: Denny, J.F.

Originator: Schwab, W.C.

Originator: Gayes, P.T.

Originator: Morton, R.A.

Originator: Driscoll, N.W.

Publication_Date: 2007

Title:

Geologic Framework Studies of South Carolina's Long Bay from Little River Inlet to Winyah Bay, 1999-2003; geospatial data release

Edition: 1.0

Series_Information:

Series_Name: Open-File Report
Issue_Identification: 2005-1346

Publication_Information:

Publication_Place: Woods Hole Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program

Online_Linkage: <http://pubs.usgs.gov/of/2005/1346/>

Description:

Abstract:: 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.
Purpose:: 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.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2007

Currentness_Reference: publication date

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -79.159710
East_Bounding_Coordinate: -78.515347
North_Bounding_Coordinate: 33.847088
South_Bounding_Coordinate: 33.197669

Keywords:

Theme:

Theme_Keyword_Thesaurus: General
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Woods Hole Science Center
Theme_Keyword: WHSC
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: grab samples
Theme_Keyword: sample texture
Theme_Keyword: grain size
Theme_Keyword: sea floor environments
Theme_Keyword: ESRI polygon shapefile
Theme_Keyword: interpretive data layer

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: oceans and coastal
Theme_Keyword: oceans and estuaries
Theme_Keyword: geoscientificInformation

Place:

Place_Keyword_Thesaurus: General
Place_Keyword: South Carolina
Place_Keyword: Grand Strand
Place_Keyword: North Myrtle Beach
Place_Keyword: Myrtle Beach
Place_Keyword: Surfside
Place_Keyword: Garden City
Place_Keyword: Pawleys Island
Place_Keyword: Waites Island
Place_Keyword: Southeast United States
Place_Keyword: United States
Place_Keyword: Atlantic Ocean

Access_Constraints: None

Use_Constraints:

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.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Jane Denny
Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

Contact_Address:

Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA

Contact_Voice_Telephone: 508-548-8700 x2311

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: jdenny@usgs.gov

Browse_Graphic:

Browse_Graphic_File_Name: <http://pubs.usgs.gov/of/2005/1346/images/seafloorenv.jpg>
Browse_Graphic_File_Description:: Image of the distribution of seafloor environments within the inner shelf of Long Bay
Browse_Graphic_File_Type: JPEG

Native_Data_Set_Environment:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.780

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:: These data were interpretted from sidescan-sonar, seismic-reflection and sample data at a regional scale of 1:75,000.

Completeness_Report:

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.

Logical_Consistency_Report:

No additional checks for topological consistency were performed on the data.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:: 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).

Lineage:

Process_Step:

Process_Description:

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.

Process_Date: 2004

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Jane Denny
Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

Contact_Address:

Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA

Contact_Voice_Telephone: 508-548-8700 x2311

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: jdenny@usgs.gov

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Point_and_Vector_Object_Information:

SDTS_Terms_Description:

SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 7

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Geographic:

Latitude_Resolution: 0.000001
Longitude_Resolution: 0.000001
Geographic_Coordinate_Units: Decimal degrees

Geodetic_Model:

Horizontal_Datum_Name: D_WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257224

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: seafloorenv
Entity_Type_Definition: ESRI polygon shapefile
Entity_Type_Definition_Source: ESRI

Attribute:

Attribute_Label: FID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: ESRI