2010 lidar-derived mean high water shoreline for the coast of South Carolina

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Amy S. Farris
Originator: Marie K. Bartlett
Publication_Date: 20230815
Title:
2010 lidar-derived mean high water shoreline for the coast of South Carolina
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9LLAZYE
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9LLAZYE
Online_Linkage:
https://www.sciencebase.gov/catalog/item/6480bf1fd34eac007b57a8af
Larger_Work_Citation:
Citation_Information:
Originator: Marie K. Bartlett
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Publication_Date: 2023
Title:
USGS National Shoreline Change — A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9LLAZYE
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Bartlett, M.K., Farris, A.S., and Weber, K.M., 2023, USGS National Shoreline Change — A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina: U.S. Geological Survey data release, https://doi.org/P9LLAZYE.
Online_Linkage: https://doi.org/10.5066/P9LLAZYE
Online_Linkage:
https://www.sciencebase.gov/catalog/item/6480a887d34eac007b5793e9
Description:
Abstract:
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.
Purpose:
Historical shoreline positions are used to describe the movement of beaches through time and to maintain a national database of shoreline change. This particular shoreline dataset is a mean high water (MHW) datum-based shoreline extracted using a profile method (Farris and others, 2018) for 2010. The profile method extracts the MHW position from point cloud data using a Matlab based approach. This shoreline is used in conjunction with other shoreline files to calculate rates of shoreline change for coastal South Carolina.
Supplemental_Information:
Cross-referenced citations are applicable to the dataset as a whole.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Currentness_Reference: ground condition at the time of survey
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -80.829295
East_Bounding_Coordinate: -78.553788
North_Bounding_Coordinate: 33.848903
South_Bounding_Coordinate: 32.107755
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme_Keyword: oceans
Theme_Keyword: geoscientificInformation
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: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Mean High Water
Theme_Keyword: MHW
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: coastal processes
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:6480bf1fd34eac007b57a8af
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Coast
Place_Keyword: United States
Place_Keyword: South Carolina
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. These data are not to be used for navigation.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Marie K. Bartlett
Contact_Organization: U.S. Geological Survey
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing
Address: 384 Woods Hole Rd
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Contact_Voice_Telephone: 508-457-8700 x2306
Contact_Electronic_Mail_Address: mbartlett@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name:
https://www.sciencebase.gov/catalog/file/get/6480bf1fd34eac007b57a8af?name=SC_shoreline_2010_browse.JPG
Browse_Graphic_File_Description: Map view of dataset.
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment: Microsoft Windows 10 Esri ArcGIS 10.7.1
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Amy S. Farris
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Ayhan Ergul
Originator: Ouya Zhang
Originator: Jessica L. Zichichi
Originator: E. Robert Thieler
Publication_Date: 2018
Title:
Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey Software
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: software release
Issue_Identification: version 5.1
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Use the first two links to access the software. The third link directs to the DSAS project page. Current software at time of use was 5.1.
Online_Linkage: https://doi.org/10.5066/P9VW42I0
Online_Linkage: https://code.usgs.gov/cch/dsas/
Online_Linkage:
https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Publication_Date: 20211019
Title: Digital Shoreline Analysis System (DSAS) version 5.1 User Guide
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2021-1091
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Use the first two links to access the user guide. The third link directs to the DSAS project page.
Online_Linkage: https://doi.org/10.3133/ofr20211091
Online_Linkage: https://pubs.er.usgs.gov/publication/ofr20211091
Online_Linkage:
https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
Cross_Reference:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Emily A. Himmelstoss
Originator: E. Robert 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
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: 2017
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F74X55X7
Online_Linkage:
https://www.sciencebase.gov/catalog/item/58055f50e4b0824b2d1c1ee7
Cross_Reference:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Jeffrey H. List
Originator: Karen L.M. Morgan
Publication_Date: 2005
Title:
An operational mean high water datum for determination of shoreline position from topographic Lidar data
Edition: 1.0
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1027
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051027
Online_Linkage: https://pubs.usgs.gov/of/2005/1027/
Cross_Reference:
Citation_Information:
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Originator: Kara S. Doran
Originator: Jeffrey H. List
Publication_Date: 2018
Title:
Comparing Methods Used by the U.S. Geological Survey Coastal and Marine Geology Program for Deriving Shoreline Position from Lidar Data
Edition: 1
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2018-1121
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20181121
Online_Linkage: https://pubs.usgs.gov/of/2018/1121/
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) which include a date and uncertainty value.
Logical_Consistency_Report:
Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were visually assessed in map view to verify no erroneous data were included. These data contain some short line segments (less than 30 meters) that were part of how the data were originally compiled and are in fact the correct shoreline positions.
Completeness_Report:
This shoreline dataset is a mean high water (MHW) datum-based shoreline extracted using the profile method (Farris and others 2018). See process steps for description of use. 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 lidar 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.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Positional uncertainty associated with the 2010 lidar shoreline was calculated at each transect and includes four components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) the vertical error of the raw lidar data as reported in the metadata; 3) a 15 cm vertical error in our chosen value of MHW, and; 4) the uncertainty due to extrapolation (if the shoreline was determined using extrapolation).
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management (NOAA/OCM)
Publication_Date: 20160523
Title:
2010 USACE NCMP Topobathy Lidar: Atlantic Coast (NC, SC, GA, FL)
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA's Ocean Service, Coastal Services Center (CSC)
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/50093
Online_Linkage:
https://coast.noaa.gov/dataviewer/#/lidar/search/-9000918.702749213,3788219.1218133345,-8817469.834864791,3950265.6217779084/details/1070
Type_of_Source_Media: Digital and/or Hardcopy
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20100501
Ending_Date: 20100504
Source_Currentness_Reference: ground condition at the time of survey
Source_Citation_Abbreviation: 2010 Lidar
Source_Contribution:
The bare-earth lidar point cloud data in LAS format were used to extract shorelines using methods described in the process steps. The data were downloaded using the cart feature in UTM Zone 17 projection with NAD83 horizontal datum and NAVD88 vertical datum (meters).
Process_Step:
Process_Description:
MHW shorelines are datum-based and in the case of the 2010 shoreline, were extracted from lidar data using a profile method, described in Farris and others (2018). The appropriate MHW elevation values were obtained from Weber and others (2005). From the southern border with Georgia to Kiawah Island the MHW elevation is 0.75. North of Kiawah Island to the border with North Carolina, the MHW elevation is 0.51.
Source_Used_Citation_Abbreviation: 2010 lidar
Process_Date: 2022
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Amy S. Farris
Contact_Organization: U.S. Geological Survey
Contact_Position: 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
Contact_Electronic_Mail_Address: afarris@usgs.gov
Process_Step:
Process_Description:
The profile method used to extract the operational MHW shoreline from the lidar point cloud data utilizing the Matlab-based approach (Matlab version 2019b) is described in Farris and others (2018). The profile method used a coast-following reference line with 20-meter spaced profiles. All lidar data points that were within 1 meter of each profile line were associated with that profile. All processing was done on the 2-meter-wide profiles, working on a single profile at a time. For each profile, a linear regression was fit through data points on the foreshore and the regression was evaluated at the MHW elevation to yield the cross-shore position of the MHW shoreline. If there was a data gap at MHW or if the MHW elevation was obscured by water points, the linear regression was simply extrapolated to the MHW elevation. For each profile, the foreshore beach slope was defined as the slope of the regression line. This slope is stored and later used for the calculation of the proxy-datum bias feature. Each MHW shoreline point that was extracted using this profile method has an uncertainty associated with it. For the new 2010 lidar shoreline, this uncertainty includes four components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) the vertical error of the raw lidar data as reported in the metadata; 3) a 15 cm vertical error in our chosen value of MHW, and; 4) the uncertainty due to extrapolation (if the shoreline was determined using extrapolation). These four components of uncertainty were added in quadrature to yield a total error for each shoreline point. The 2010 shoreline extraction was performed by Amy S. Farris
Source_Used_Citation_Abbreviation: 2010 Lidar
Process_Date: 2022
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Amy S. Farris
Contact_Organization: U.S. Geological Survey
Contact_Position: 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
Contact_Electronic_Mail_Address: afarris@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: 135
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 17
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -81.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.6096
Ordinate_Resolution: 0.6096
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: WGS_1984
Ellipsoid_Name: WGS_84
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: SC_shoreline_2010
Entity_Type_Definition:
This dataset includes polyline shoreline for 2010 extracted from lidar data.
Entity_Type_Definition_Source: U.S. Geological Survey (USGS)
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: Feature geometry. This shoreline is a polyline shapefile.
Attribute:
Attribute_Label: Type
Attribute_Definition: The vertical shoreline reference used for shoreline extraction.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: MHW
Enumerated_Domain_Value_Definition: Mean high water - a datum-based elevation reference
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Date_
Attribute_Definition: Date of lidar survey from which the shoreline was extracted.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Unrepresentable_Domain: Date is in mm/dd/yyyy format
Attribute:
Attribute_Label: Shape_Leng
Attribute_Definition: Length of feature in meter units (WGS 1984 UTM Zone 17N)
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 20.077
Range_Domain_Maximum: 20849.642
Attribute:
Attribute_Label: Year_
Attribute_Definition: Four-digit year of shoreline.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2010
Enumerated_Domain_Value_Definition: Year of lidar survey
Enumerated_Domain_Value_Definition_Source: Producer defined
Attribute:
Attribute_Label: Uncy
Attribute_Definition:
Estimate of shoreline position uncertainty in meters. Actual shoreline position is assumed to be within the range of this value (plus or minus, meters). Methods used to calculate the uncertainty are listed in the process steps.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.777
Range_Domain_Maximum: 9.679
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_Person: USGS ScienceBase
Contact_Address:
Address_Type: mailing address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: United States
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The dataset contains the polyline shapefile of the 2010 South Carolina lidar shoreline used to calculate long and short-term rates of change (SC_shoreline_2010.shp and other shapefile components), browse graphic (SC_shoreline_2010_browse.JPG), and the FGDC CSDGM metadata in XML format.
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. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. 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 10.7.1
Format_Specification: Esri polyline shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, 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. Additional files of the same name included are FGDC CSDGM-compliant metadata in XML format.
Transfer_Size: 0.2
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9LLAZYE
Network_Resource_Name:
https://www.sciencebase.gov/catalog/file/get/6480bf1fd34eac007b57a8af
Network_Resource_Name:
https://www.sciencebase.gov/catalog/item/6480bf1fd34eac007b57a8af
Access_Instructions:
The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page.
Fees: none
Metadata_Reference_Information:
Metadata_Date: 20230815
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Marie K. Bartlett
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Rd
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2306
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS.
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9LLAZYE/SC_shoreline_2010.html>
Generated by mp version 2.9.51 on Fri Aug 18 08:53:16 2023