Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2017
Title:
Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis
Edition: 1
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F74X55X7
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: https://doi.org/10.5066/F74X55X7
Online_Linkage: Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: M.G. Kratzmann
Originator: E.A. Himmelstoss
Originator: E.R. Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change— A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast
Edition: 1
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F74X55X7
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F74X55X7
Online_Linkage:
Description:
Abstract:
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.
Purpose:
This dataset includes shorelines from 148 years ranging from 1852 to 2000 in South Carolina's coastal region. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)), Coastal Engineering Research Center (CERC) maps (NOAA/National Ocean Service (NOS)), and lidar (U.S. Geological Survey (USGS)/NOAA/National Aeronautics and Space Administration (NASA)). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's National Assessment of Shoreline Change Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.
Supplemental_Information:
Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1852
Ending_Date: 2000
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -80.877131
East_Bounding_Coordinate: -78.544042
North_Bounding_Coordinate: 33.880254
South_Bounding_Coordinate: 32.055557
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:58b89084e4b01ccd5500c2ac
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Shoreline
Theme_Keyword: Shoreline Change
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: DSAS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: National Assessment of Shoreline Change Project
Theme_Keyword: MHW
Theme_Keyword: Mean High Water
Theme_Keyword: HWL
Theme_Keyword: High Water Line
Theme_Keyword: U.S. Army Corps of Engineers
Theme_Keyword: USACE
Theme_Keyword: National Oceanic and Atmospheric Administration
Theme_Keyword: NOAA
Theme_Keyword: National Ocean Service
Theme_Keyword: NOS
Theme_Keyword: Coastal Engineering Research Center
Theme_Keyword: CERC
Theme_Keyword: CERC map
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) Keywords
Theme_Keyword: effects of coastal change
Theme_Keyword: coastal processes
Theme_Keyword: shoreline accretion
Theme_Keyword: shoreline erosion
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: erosion
Theme_Keyword: shoreline accretion
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: South Carolina
Place_Keyword: SC
Place_Keyword: Little River Inlet
Place_Keyword: Myrtle Beach
Place_Keyword: St Helena Sound
Place_Keyword: Magnolia Beach
Place_Keyword: Cape Romain
Place_Keyword: Santee Point
Place_Keyword: Bull Island
Place_Keyword: Capers Island
Place_Keyword: James Island
Place_Keyword: Kiawah Island
Place_Keyword: Edisto Island
Place_Keyword: Hilton Head
Place_Keyword: Atlantic Coast
Place_Keyword: United States
Place_Keyword: North America
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 as the originator of the dataset.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: E.A. Himmelstoss
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
Contact_Facsimile_Telephone: 508-547-2310
Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
Cross_Reference:
Citation_Information:
Originator: Robert A. Morton
Originator: Tara L. Miller
Publication_Date: 2005
Title:
National Assessment of Shoreline Change: Part 2 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1401
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2005/1401/
Cross_Reference:
Citation_Information:
Originator: Tara L. Miller
Originator: Robert A. Morton
Originator: Asbury H. Sallenger
Publication_Date: 2005
Title:
The National Assessment of Shoreline Change— A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1326
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2005/1326/index.html
Cross_Reference:
Citation_Information:
Originator: E.R. Thieler
Originator: E.A. Himmelstoss
Originator: J.L. Zichichi
Originator: A. Ergul
Publication_Date: 2009
Title:
Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2008-1278
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details: Current version of software at time of use was 4.3
Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/version4/
Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/
Cross_Reference:
Citation_Information:
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management
Originator: United States Geological Survey (USGS)
Originator: National Aeronautics and Space Administration (NASA)
Publication_Date: 20140121
Title:
2000 Summer East Coast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA's Ocean Service, Office for Coastal Management
Other_Citation_Details:
Lidar data were obtained prior to the publication date listed in this citation.
Online_Linkage: https://coast.noaa.gov/digitalcoast/data/coastallidar/
Online_Linkage: https://www.coast.noaa.gov
Cross_Reference:
Citation_Information:
Originator:
National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS)
Publication_Date: Unknown
Title:
Scanned National Ocean Service (NOS) Coastal Survey Maps (also known as Topographic Survey sheets, or T-sheets)
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: National Oceanic and Atmospheric Administration
Other_Citation_Details: NOAA shoreline manuscripts (T-sheets)
Online_Linkage: Online_Linkage: Online_Linkage:
Cross_Reference:
Citation_Information:
Originator:
National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS) / U.S. Army Corps of Engineers (USACE), Coastal Engineering Research Center (CERC)
Publication_Date: 1988
Title:
Cooperative Shoreline Movement Study: Part III, Cape Fear, NC to Tybee Island, GA
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: National Ocean Service
Other_Citation_Details: Report 3 of a series containing 32 maps at 1:24,000 scale
Cross_Reference:
Citation_Information:
Originator: E.A. Himmelstoss
Originator: M.G. Kratzmann
Originator: E.R. Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change: Summary Statistics for Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico and Southeast Atlantic Coasts
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2017-1015
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20171015
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The data provided here are a compilation of shorelines from multiple sources, spanning 148 years. The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software and have gone through a series of quality assurance procedures.
Logical_Consistency_Report:
Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were quality checked for accuracy. Any slight offsets between adjacent segments due to georeferencing and digitizing error are taken into account in the uncertainty of the shoreline position, as reported in the horizontal accuracy section of this metadata file. In some cases, a CERC shoreline was used in place of the NOAA T-sheet/shoreline if NOAA data were not available.
Completeness_Report:
This shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the South Carolina coastal region where shoreline position data were available. These data adequately represented the shoreline position at the time of the survey. Remaining gaps in these data, if applicable, are a consequence of non-existing data or existing data that did not meet quality assurance standards. The digitized shoreline vectors downloaded from NOAA included attributes defining the shoreline type (attribute field name varies by file). For the open-ocean facing shorelines, only Mean High Water shoreline features (Natural.Mean High Water; SPOR; 20) were retained. Other shoreline features (such as seawalls, bulkheads, manmade objects) were deleted. NOAA has made non-georeferenced NOAA Shoreline Survey Scans available for download, and additional data for the region may be available (https://nosimagery.noaa.gov/images/shoreline_surveys/survey_scans/NOAA_Shoreline_Survey_Scans.html).
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Shoreline data have been acquired from 1852 to 2000, the horizontal accuracy of which varies with respect to data source from which the shorelines were digitized, the lidar data from which the shorelines were extracted, and the time period. Shorelines prior to 1960 (T-sheets, CERC maps) have an estimated positional uncertainty of plus or minus 10.8 meters. Shorelines from the 1960s-1980s (T-sheets, CERC maps) have an estimated positional uncertainty of plus or minus 5.1 meters. The lidar shoreline from 2000 has an estimated positional uncertainty of plus or minus 3.2 meters. Crowell, M., Leatherman, S.P., and Buckley, M.K., 1991. Historical Shoreline Change: Error Analysis and Mapping Accuracy. Journal of Coastal Research: v.7, n.3, pp.839-852.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The historic shorelines are proxy-based and estimate the HWL. The lidar shoreline is tidal-based and estimates MHW. While the proxy-based HWL shorelines are not shifted to the MHW datum, the distance measurements established by the transects and used by DSAS to compute rate-of-change statistics are adjusted to account for the offset between HWL and MHW. Therefore, all distance measurements along DSAS transects are referenced to the MHW datum before rates are calculated.
Lineage:
Process_Step:
Process_Description:
An operational Mean High Water (MHW) shoreline was extracted from the lidar surveys within MATLAB v7.6 using a method similar to the one developed by Stockdon et al. (2002). Shorelines were extracted from cross-shore profiles which consist of bands of lidar data 2 m wide in the alongshore direction and spaced every 20 m along the coast. For each profile, the seaward sloping foreshore points were identified and a linear regression was fit through them. The regression was evaluated at the operational MHW elevation to yield the cross-shore position of the MHW shoreline. If the MHW elevation was obscured by water points, or if a data gap was present at MHW, the linear regression was simply extrapolated to the operational MHW elevation. A lidar positional uncertainty associated with this point was also computed. The horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines nearly always acts in one direction and the "bias" value was computed at each profile (Ruggiero and List, 2009). In addition an uncertainty associated with the bias was also computed, which can also be thought of as the uncertainty of the HWL shorelines due to water level fluctuations. Repeating this procedure at successive profiles generated a series of X,Y points that contain a lidar positional uncertainty, a bias, and a bias uncertainty value. Ruggiero, P. and List, J.H., 2009. Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates. Journal of Coastal Research: v.25, n.5, pp.1069-1081. Stockdon, H.F., Sallenger, A.H., List, J.H., and Holman, R.A., 2002. Estimation of Shoreline Position and Change using Airborne Topographic Lidar Data: Journal of Coastal Research, v.18, n.3, pp.502-513.
Process_Date: 20081006
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Amy Farris
Contact_Organization: U.S. Geological Survey
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
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: afarris@usgs.gov
Process_Step:
Process_Description:
The lidar data were collected in projected coordinates (WGS 84 UTM zone 17N). The series of operational MHW points extracted from the cross-shore lidar profiles were converted into a calibrated route shapefile for use in ArcGIS using a Python script. The script generates a point shapefile, converts it to a polyline-M file, saves the uncertainty information in an accessory dBase (.dbf) file and finally generates a calibrated route for the newly-created polyline-M file. Calibration is based on the unique and sequential profile ID value provided with the point data and stored as the M-value. This value is also stored as an attribute in the uncertainty .dbf file and is used as the common attribute field linking the shoreline route file (shoreline.shp) to the uncertainty table (shorelines_uncertainty.dbf) storing the lidar positional uncertainty, the bias correction value, and the uncertainty of the bias correction for each point of the original lidar data. During the rate calculation process DSAS uses linear referencing to retrieve the uncertainty and bias values stored in the associated table. Visually identified HWL-type proxy shorelines are virtually never coincident with datum-based MHW-type shorelines. In fact, HWL shorelines are almost universally estimated to be higher (landward) on the beach profile than MHW shorelines. Not accounting for this offset will cause shoreline change rates to be biased toward slower shoreline retreat, progradation rather than retreat, or faster progradation than in reality (for the typical case where datum-based shorelines are more recent data than the proxy-based shoreline dates), depending on actual changes at a given site. Ruggiero, Peter, and List, J.H., 2009, Improving accuracy and statistical reliability of shoreline position and change rate estimates: Journal of Coastal Research, v. 25, no. 5, p. 1069–1081. Ruggiero, Peter, Kaminsky, G.M., and Gelfenbaum, Guy, 2003, Linking proxy-based and datum-based shorelines on high-energy coastlines—Implications for shoreline change analyses: Journal of Coastal Research, special issue 38, p. 57–82. For a detailed explanation of the method used to convert the lidar shoreline to a route, please refer to "Appendix 2- A case study of complex shoreline data" in the DSAS user guide: Himmelstoss, E.A. 2009. "DSAS 4.0 Installation Instructions and User Guide" in: Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Ergul, Ayhan. 2009. Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2008-1278. https://woodshole.er.usgs.gov/project-pages/DSAS/version4/images/pdf/DSASv4_3.pdf
Process_Date: 20100326
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: E.A. Himmelstoss
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2262
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov
Process_Step:
Process_Description:
Data from the previously-published National Assessment of Shoreline Change study for the Southeast Atlantic (USGS Open-File Report 2005-1401 and USGS Open-File Report 2005-1326) were used as the starting point for the project's continued efforts to compile as many quality shorelines as possible for the region. Digital shorelines, if available from another agency, were acquired. This process step and all subsequent process steps were performed by the same person - M.G. Kratzmann.
Process_Date: 2012
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: M.G. Kratzmann
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: mkratzmann@usgs.gov
Process_Step:
Process_Description:
Digitized shorelines were downloaded in vector format from the NOAA Historical Shoreline Survey Viewer, currently available as a Google Earth KMZ (https://nosimagery.noaa.gov/images/shoreline_surveys/noaa_shoreline_surveys.kmz). The extracted shorelines are digitized vectors of the mean high water (MHW) position derived from the scanned and georeferenced T-sheet raster imagery that NOAA also manages. Although NOAA labels historical shorelines as MHW, they are proxy-based and therefore considered HWL for the purposes of shoreline change rate calculation with the proxy-datum bias correction. The modern lidar shoreline used in the analysis is datum-based, not proxy-based, and designated as operational MHW which reflects this difference. NOAA topographic survey sheets (T-sheets) and shorelines were quality checked and edited where necessary. Edgematching was corrected when discovered. If no digital shoreline vectors were available, the original T-sheet scan and world file were downloaded from the NOAA Google Earth viewer. Vector shorelines were digitized from the georeferenced T-sheets using standard editing tools in ArcMap v10. Quality assessments were performed and shorelines were edited to remove any overlap between adjacent t-sheets from the same time period. No edge-matching between neighboring shorelines was attempted. The DSAS-required attribute fields were added to the shapefiles and populated.
Process_Date: 2013
Process_Step:
Process_Description:
Historical shorelines were merged in Esri's ArcToolbox (v10), Data Management Tools > General > Merge. Then the merged file was projected in ArcToolbox (v10) > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection = geographic (NAD 83); output projection = UTM zone 17N (WGS 84); transformation = NAD_1983_To_WGS_1984_1.
Process_Date: 2013
Process_Step:
Process_Description:
Historical shorelines were appended to the lidar route data in ArcToolbox (v10) > Data Management Tools > General > Append to produce a single shoreline file for the region. The final shoreline dataset was coded with attribute fields (Date, Uncertainty (Uncy), Source, Source_b, Year_, Default_D, Location). These fields are required for the Digital Shoreline Analysis System (DSAS), which was used to calculate shoreline change rates.
Process_Date: 2013
Process_Step:
Process_Description:
The appended shoreline file and the shoreline uncertainty table (.dbf) were imported into a personal geodatabase in ArcCatalog v10 by right-clicking on the geodatabase > Import (feature class for shoreline file and table for uncertainty table) for use with the Digital Shoreline Analysis System (DSAS) v4.3 software to perform rate calculations.
Process_Date: 2013
Process_Step:
Process_Description:
The shoreline feature class was exported from the personal geodatabase back to a shapefile in ArcCatalog v10 by right-clicking on the shoreline file > Export > To Shapefile (single) for publication purposes.
Process_Date: 2013
Process_Step:
Process_Description:
The data were projected in ArcToolbox v10.2 > Data Management Tools > Projections and Transformations > Project. Parameters: input projection = UTM zone 17N (WGS84); output projection = geographic coordinates (WGS84); transformation = none.
Process_Date: 2015
Process_Step:
Process_Description:
Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog.
Process_Date: 20170825
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Alan O. Allwardt
Contact_Position: Contractor -- Information Specialist
Contact_Address:
Address_Type: mailing and physical address
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-460-7551
Contact_Facsimile_Telephone: 831-427-4748
Contact_Electronic_Mail_Address: aallwardt@usgs.gov
Process_Step:
Process_Description:
Added keywords section with USGS persistent identifier as theme keyword.
Process_Date: 20200810
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Position: Marine Geologist
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@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: String
Point_and_Vector_Object_Count: 590
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: SC_shorelines
Entity_Type_Definition: Vector shorelines
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: RouteID
Attribute_Definition:
Route identification value assigned to individual lidar shoreline line segments. A unique cross-shore profile identification value is stored at each vertex of the lidar route and serves as a common attribute to the shoreline uncertainty table (SC_shorelines_uncertainty.dbf).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition:
Short integer field where zeros are "no data" and automatically filled in for the remaining shoreline polylines not derived from lidar.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Date_
Attribute_Definition:
Date of shoreline position; date of survey as indicated on source material. A default date of 07/01 was assigned to shorelines where only the year was known (month and day unknown). Using July, the mid-point month of the calendar year, minimizes the potential offset to the actual shoreline date by a maximum of six months.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Character string of length 10
Attribute:
Attribute_Label: Uncy
Attribute_Definition:
Estimate of shoreline position uncertainty. Actual shoreline position is within the range of this value (plus or minus, meters). The historic shoreline uncertainty values incorporate measurement uncertainties associated with mapping methods and materials for historical shorelines, the geographic registration of shoreline position, and shoreline digitizing. The uncertainty of the High Water Line (HWL) at an individual transect was determined by using positional uncertainty information stored along the shoreline route. The HWL uncertainty was added to the historic shoreline uncertainty stored in the shoreline attribute table during the DSAS rate calculation process to better account for uncertainty at individual transects alongshore as opposed to using a regionally averaged value. This was done using linear referencing that interpolates a value based on data stored in the SC_shorelines_uncertainty dBase file (.dbf) at a specific transect/shoreline intersect alongshore. The lidar shoreline position uncertainty is also stored in the associated shorelines_uncertainty.dbf file and values are interpolated at specific transect/shoreline intersections using the same linear referencing method. The lidar uncertainty attribute field was filled with null values while residing in the geodatabase. Upon exporting the shoreline feature class to a shapefile for publication, the null values in the lidar uncertainty field were automatically converted to zero values.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition:
Zeros are "no data" and serve as place fillers for the lidar shorelines. Actual uncertainty values for lidar are stored in shoreline uncertainty dBase (.dbf) file.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Source
Attribute_Definition:
Agency that provided shoreline feature or the data source used (e.g. T-sheet) to digitize shoreline feature.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: USGS
Enumerated_Domain_Value_Definition: U.S. Geological Survey
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: NOAA
Enumerated_Domain_Value_Definition: National Oceanic and Atmospheric Administration
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: NOAA/NOS
Enumerated_Domain_Value_Definition:
National Oceanic and Atmospheric Administration/National Ocean Service
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Source_b
Attribute_Definition: Type of data used to create shoreline.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: lidar
Enumerated_Domain_Value_Definition: Light detection and ranging (lidar).
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: CERC map
Enumerated_Domain_Value_Definition: Coastal Engineering Research Center (CERC) map
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: T or TP with number
Enumerated_Domain_Value_Definition:
NOAA/NOS topographic survey sheet (T- or TP-sheet) with associated registry number
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Year_
Attribute_Definition: Four digit year of shoreline
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1852
Range_Domain_Maximum: 2000
Attribute:
Attribute_Label: Default_D
Attribute_Definition:
Differentiates between shorelines that have known month and day attributes and those that use the default value of 07/01 when only the year is known.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: Shoreline month and day are known.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition:
Shoreline month and day are unknown and default value of 07/01 was used.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Location
Attribute_Definition:
Location of shoreline with respect to wave energy exposure. An open ocean coast is directly exposed to ocean waves and is typically characterized by higher wave energy. A sheltered coast is not directly exposed to ocean waves and is characterized by lower wave energy. This shoreline dataset only includes open ocean locations.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: open ocean
Enumerated_Domain_Value_Definition: Shoreline on a coast with open ocean wave exposure.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Shape_Leng
Attribute_Definition: Length of feature in meter units (UTM zone 17N, WGS 84)
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 20.85
Range_Domain_Maximum: 19367.96
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the individual attribute descriptions for detailed information.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical address
Address: Denver Federal Center
Address: Building 810
Address: MS 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Distribution_Liability:
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. 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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Version_Number: ArcGIS 10.2
Format_Specification: Esri polyline shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .shp.xml, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC compliant metadata.
File_Decompression_Technique: no compression applied
Transfer_Size: 1.98
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link downloads the contents of the data page as a zip file, the second link is to the landing page of the data, the third and fourth links are to the main landing page of the data release.
Fees: None
Technical_Prerequisites:
These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20200810
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: M.G. Kratzmann
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing 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
Contact_Facsimile_Telephone: 508-547-2310
Contact_Electronic_Mail_Address: mkratzmann@usgs.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_F74X55X7/SC_shorelines.shp.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:18:57 2021