2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Fear to the South Carolina border (NCwest)

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Amy S. Farris
Originator: Marie K. Bartlett
Publication_Date: 20231023
Title:
2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Fear to the South Carolina border (NCwest)
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9HYNUNV
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/P9HYNUNV
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Marie K. Bartlett
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Originator: Rachel E. Henderson
Publication_Date: 2023
Title:
USGS National Shoreline Change — 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9HYNUNV
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Bartlett, M.K., Farris, A.S., Weber, K.M., and Henderson, R.E., 2023, USGS National Shoreline Change — 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina: U.S. Geological Survey data release, https://doi.org/P9HYNUNV.
Online_Linkage: https://doi.org/10.5066/P9HYNUNV
Online_Linkage:
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 one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 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 shoreline dataset is a mean high water (MHW) datum-based shoreline extracted using a profile method (Farris and others, 2018) for 2017. 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 North 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: 2017
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: -78.542788
East_Bounding_Coordinate: -78.013989
North_Bounding_Coordinate: 33.923098
South_Bounding_Coordinate: 33.839066
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:64de6fe0d34e5f6cd55350c8
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Coast
Place_Keyword: United States
Place_Keyword: North 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: Browse_Graphic_File_Description: Map view of dataset.
Browse_Graphic_File_Type: PNG
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:
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 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:
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/
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:
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/
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 that 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 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. Although not a continuous shoreline for the entire coast of North Carolina, this shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the North Carolina coastal region where lidar data were available. These data adequately represented the shoreline position at the time of the survey. Gaps in these shoreline data represent a lack of data or data that did not meet quality assurance standards.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Positional uncertainty associated with the 2017 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). These four components of uncertainty were added in quadrature to yield a total error for each shoreline point.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management (NOAA/OCM)
Publication_Date: 20170913
Title:
2017 USACE NCMP Topobathy Lidar: East Coast (NY, NJ, DE, MD, VA, NC, SC, GA)
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/52444
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20170609
Ending_Date: 20170916
Source_Currentness_Reference: ground condition at the time of survey
Source_Citation_Abbreviation: 2017 NC 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:
Step 1: MHW shorelines are datum-based and in the case of the 2017 shoreline, are 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 northern border with Virginia to Cape Lookout the MHW elevation is 0.26 m. From Cape Lookout to Cape Fear, the MHW elevation is 0.36 m. From Cape Fear to the southern border with South Carolina the MHW elevation is 0.51 m.
Process_Date: 2022
Process_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
Contact_Voice_Telephone: 508-548-8700 x 2306
Contact_Electronic_Mail_Address: mbartlett@usgs.gov
Process_Step:
Process_Description:
Step 2: 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. See the horizontal accuracy section of the metadata for details on how the uncertainty is calculated. The 2017 shoreline was extracted by Kathryn M. Weber
Source_Used_Citation_Abbreviation: 2017 NC Lidar
Process_Date: 2022
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Kathryn Weber
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
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: kweber@usgs.gov
Process_Step:
Process_Description:
Step 3: The 2017 shoreline was imported into a personal geodatabase in ArcMap v10.7.1 for use in shoreline change analysis. Then, the 2017 shoreline was exported to a shapefile for publication in ArcMap v10.7.1. Coordinate system: WGS 84 UTM Zone 18N (NCnorth, NCcentral, NCsouth) or WGS 84 UTM Zone 17N (NCwest).
Process_Date: 2022
Process_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
Contact_Voice_Telephone: 508-548-8700 x 2306
Contact_Electronic_Mail_Address: mbartlett@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: 7
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: NCwest_shoreline_2017
Entity_Type_Definition:
This dataset includes polyline shoreline for 2017 extracted from lidar data, for the North Carolina coastal region extending from Cape Fear to the South Carolina border.
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: 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: 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: 3.519
Range_Domain_Maximum: 9.946
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: Source
Attribute_Definition:
Agency that provided shoreline feature or the data source used (e.g. lidar) to digitize shoreline feature.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: USGS
Enumerated_Domain_Value_Definition:
USGS provided the shoreline feature or the data source used to digitize shoreline feature.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Source_b
Attribute_Definition: Method of deriving shoreline feature, if known.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Lidar
Enumerated_Domain_Value_Definition: Shoreline extraction from lidar
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Year_
Attribute_Definition: Four-digit year of shoreline.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2017
Enumerated_Domain_Value_Definition: Year of lidar survey
Enumerated_Domain_Value_Definition_Source: USGS
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: 687.121
Range_Domain_Maximum: 16497.820
Attribute_Units_of_Measure: meters
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
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 2017 North Carolina lidar shoreline used to calculate long and short-term rates of change (NCwest_shoreline_2017.shp and other shapefile components), browse graphic (NCwest_shoreline_2017_browse.PNG), 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: 0.3
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: 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: 20231023
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_P9HYNUNV/NCwest_shoreline_2017.html>
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