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 Hatteras to Cape Lookout (NCcentral) 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: https://www.sciencebase.gov/catalog/item/64df9b11d34e5f6cd553bb7b 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: https://www.sciencebase.gov/catalog/item/64de3810d34e5f6cd5533c78 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: -76.543038 East_Bounding_Coordinate: -75.524936 North_Bounding_Coordinate: 35.234216 South_Bounding_Coordinate: 34.579635 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:64df9b11d34e5f6cd553bb7b 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: https://www.sciencebase.gov/catalog/file/get/64df9b11d34e5f6cd553bb7b?name=NCcentral_shoreline_2017_browse.PNG 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: 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 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: 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: 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/ 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 18 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: 16 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 18 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: NCcentral_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 Hatteras to Cape Lookout. 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: 2.4459 Range_Domain_Maximum: 3.9288 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: 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: Shape_Leng Attribute_Definition: Length of feature in meter units (WGS 1984 UTM Zone 18N) Attribute_Definition_Source: Esri Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 220.494 Range_Domain_Maximum: 29297.993 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_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 (NCcentral_shoreline_2017.shp and other shapefile components), browse graphic (NCcentral_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: 0.2 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P9HYNUNV Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/64df9b11d34e5f6cd553bb7b Network_Resource_Name: https://www.sciencebase.gov/catalog/item/64df9b11d34e5f6cd553bb7b 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