shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Cape Lookout, NC, 2014

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Originator: Benjamin T. Gutierrez
Publication_Date: 20191220
Title:
shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Cape Lookout, NC, 2014
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital dataset (polyline)
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
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/P9V7F6UX
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Originator: Benjamin T. Gutierrez
Originator: Kathryn M. Weber
Publication_Date: 2019
Title:
Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.
Online_Linkage: https://doi.org/10.5066/P9V7F6UX
Online_Linkage:
Description:
Abstract:
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.
Purpose:
The shoreline polygons (calo14_shoreline.shp) are a generalized delineation of the mean high water (MHW) position on the seaward face of the barrier and mean tidal level (MTL, average of MHW and mean low water) position on the inland face. They delineate the shoreline for the purposes of this study. These polygons were used to convert the transects to 5-m points and to measure island width, distance to inlet from each transect, and position of the shoreline (see larger work). In addition, the inlet delineation polylines (calo14_inletLines.shp) use single straight line segments to roughly locate each side of tidal inlets for the barrier study area. These lines were used (1) to designate the transition between ocean-facing and land-facing sides of the barrier and (2) to measure the distance to tidal inlet in the 5-m points dataset (see larger work). They were created manually to cross the MHW contour line on each side of a tidal inlet within the study area.
Supplemental_Information:
This metadata file describes two related datasets. Full methods are provided in the associated USGS Open-File Report (Zeigler and others, 2019).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201311
Ending_Date: 201406
Currentness_Reference: Ground condition measured by source lidar data.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -76.65523933
East_Bounding_Coordinate: -76.03770381
North_Bounding_Coordinate: 35.07325886
South_Bounding_Coordinate: 34.57530489
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:5daa3754e4b09fd3b0c9ce58
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Barrier Island
Theme_Keyword: USGS
Theme_Keyword: CMHRP
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: Cape Lookout
Theme_Keyword: Cape Lookout National Seashore
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: geospatial analysis
Theme_Keyword: coastal processes
Theme_Keyword: geomorphology
Theme_Keyword: study areas
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: North Carolina
Place_Keyword: NC
Place_Keyword: Shackleford Banks
Place_Keyword: South Core Islands
Place_Keyword: North Core Islands
Place_Keyword: Cape Lookout
Place_Keyword: Cape Lookout National Seashore
Place_Keyword: North America
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: Atlantic Ocean
Access_Constraints: none
Use_Constraints:
Not to be used for navigation. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sara L. Zeigler
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2290
Contact_Facsimile_Telephone: (508) 457-2310
Contact_Electronic_Mail_Address: szeigler@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Example shoreline polygon (blue) and inlet delineation (red). This example is from Assateague Island, VA and may not represent this dataset.
Browse_Graphic_File_Type: PNG
Cross_Reference:
Citation_Information:
Originator: Sara L. Zeigler
Originator: Emily J. Sturdivant
Originator: Benjamin T. Gutierrez
Publication_Date: 2019
Title:
Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2019–1071
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
Online_Linkage: https://doi.org/10.3133/ofr20191071
Cross_Reference:
Citation_Information:
Originator: Emily J. Sturdivant
Publication_Date: 2019
Title: bi-transect-extractor
Edition: 1.0
Series_Information:
Series_Name: software release
Issue_Identification: DOI:10.5066/P915UYMY
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Custom-built package used for data processing. The Jupyter notebook file distributed with these data was part of the processing to create these data. The notebook relies on this software package.
Online_Linkage: https://doi.org/10.5066/P915UYMY
Online_Linkage: https://code.usgs.gov/cmgp/bi-transect-extractor
Cross_Reference:
Citation_Information:
Originator: Kara J. Doran
Originator: Joseph W. Long
Originator: Justin J Birchler
Originator: Owen T. Brenner
Originator: Matthew W. Hardy
Originator: Karen L. M. Morgan
Originator: Hilary F. Stockdon
Originator: Miguel L. Torres
Publication_Date: 2017
Title:
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F7GF0S0Z
Data_Quality_Information:
Logical_Consistency_Report:
The shoreline shapefile (calo14_shoreline.shp) consists of polygon data produced from elevation data and tidal datum values through an automated process described below. The inlet delineation shapefile (calo14_inletLines.shp) consists of manually created line data. No checks for topological consistency were performed on these data.
Completeness_Report:
The shoreline polygon(s) (calo14_shoreline.shp) represent a generalized outline of the land above water. The data should not be used for any purpose that requires precision or accuracy, such as navigation or engineering. The polygon(s) along the inland side of the study area may not be representative of the back-barrier shoreline, such as where the barrier adjoins the mainland and where the elevation data do not have enough coverage to include the back-barrier shoreline. The inlet polyline(s) (calo14_inletLines.shp) locate all points where the barrier beach alongshore shoreline is broken. If one side of an inlet was not within the study area, that side was not delineated.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Positional accuracy is dependent on the accuracy of the input datasets (DEM and shoreline points) and on the generalization routines used to create these polygons. For any given section of shoreline, these outlines (calo14_shoreline.shp) are assumed to be accurate within 25 m. However, the assumed accuracy along the seaward face of the barrier is much greater. For the greatest shoreline accuracy, refer to the shoreline points (calo14_SLpts.shp in larger work). The assumed positional accuracy of the inlet polyline(s) is 5 m.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Publication_Date: 20151220
Title:
2014 NOAA Post-Sandy Topobathymetric LiDAR: Void DEMs South Carolina to New York
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Silver Spring, MD
Publisher: NOAA's Ocean Service, National Geodetic Survey (NGS)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4967
Online_Linkage: Online_Linkage: https://coast.noaa.gov/dataviewer
Online_Linkage: https://inport.nmfs.noaa.gov/inport/item/48367
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20140101
Ending_Date: 20140421
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: DEM
Source_Contribution:
Elevation. Source data were downloaded from https://coast.noaa.gov/dataviewer in horizontal datum NAD 1983 (2011), UTM Zone 18N, vertical datum NAVD88. Downloaded on 4/8/2016.
Process_Step:
Process_Description:
Full methods are provided in the associated Methods OFR (Zeigler and others, 2019).
calo14_shoreline.shp:
A polygon outlining the shoreline of the barrier was created for the study area. On the ocean-facing side, this was considered the MHW contour (Weber and others, 2005, Zeigler and others, 2019). To include partially submerged wetland on the estuarine-side, the land-facing shoreline was delineated at mean tidal level (MTL), which was calculated from the local MHW and mean low water (MLW) levels at the given study area.
The local MLW elevation was estimated from NOAA’s VDatum (2014 release) as the average MLW elevation at a sample of nearshore points in the study area. Experimentation conducted as part of this study found that the MTL delineation more consistently identified the boundary between marsh (intertidal vegetation) and submerged areas than either MHW or MLW. For consistency with the MHW offset applied throughout the project, MHW was used as part of the calculation of MTL.
To create this shoreline, we performed the following steps. Most of the steps were performed programmatically using the function functions_warcpy.DEMtoFullShorelinePoly in bi-transect-extractor (Sturdivant, 2019):
1. Convert the shoreline points CSV to a multipoint feature class in reference system NAD_1983_UTM_Zone_18N. This was performed in ArcGIS 10.5 using the tools Make XY Event Layer and Project. The datum transformation used was WGS_1984_(ITRF00)_To_NAD_1983 (WKID: 108190, accuracy: 0.1 m).
2. Manually digitize lines from the DEM that indicate where land meets a tidal inlet, which is considered the division point between the oceanside and the bayside or estuarine side of the barrier. This line was visually approximated.
3. Create a generalized polygon from the DEM in which every cell within the polygon is above MHW (MHW polygon). This was performed programmatically using the function functions_warcpy.RasterToLandPerimeter in bi-transect-extractor v1.0 (Sturdivant, 2019) with a MHW elevation of 0.26 m NAVD88, calculated for the area by Weber and others (2005). The process includes generalizing the polygons (Aggregate Polygons tool in the Cartography toolbox) using an aggregation distance of 10 m, a minimum area of 300 m2, and a minimum hole size of 300 m2.
4. Repeat Step 3 for MTL, using an MTL elevation of -0.12 m NAVD88.
5. Merge the polygons so that the MHW contour outlines the barrier on the oceanside and the MTL contour outlines the bayside (if a bayside shoreline exists), divided at the delineated tidal inlets. To do so, create a symmetrical difference polygon between MHW and MTL polygons (SymDiff) and split the resulting polygon at the inlet lines (Feature to Polygon). Create a polygon that outlines only the bayside area that is above MTL and below MHW (MTL-only polygon) by deleting the segments of the symmetrical difference polygon that overlap shoreline points (Spatial Join, Erase). Merge the MTL-only polygon with the MHW polygon (Union, Dissolve). This was performed using the function functions_warcpy.CombineShorelinePolygons in bi-transect-extractor (Sturdivant, 2019).
6. Adjust the vertices of the polygons to precisely match the MHW shoreline positions wherever they are within 25 m of each other (Doran and others, 2017). This was performed using the function functions_warcpy.NewBNDpoly in bi-transect-extractor (Sturdivant, 2019). That snaps the polygon to the shoreline points where it is within 25 m of a point (Snap tool in the Edit toolbox, ArcGIS 10.5).
7. QA/QC the output and manually revise any sections where the point snapping created clearly incorrect artifacts.
The dataset contains 62 polygons.
Process_Date: 2018
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Emily J. Sturdivant
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
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 x2230
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: esturdivant@usgs.gov
Process_Step:
Process_Description:
Full methods are provided in the associated Methods OFR (Zeigler and others, 2019). The Jupyter notebook used for processing is distributed with the larger work dataset in IPYNB format (extractor_calo14.ipynb).
calo14_inletLines.shp
Display the DEM with a color break at mean high water (MHW) elevation. Manually digitize a straight line that bisects MHW where the seaward shoreline meets a tidal inlet, which is also considered the division point between the ocean-side and bay- or estuarine-side of the barrier. This line was visually approximated. The dataset contains 8 polylines.
Process_Date: 2018
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_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: -75
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: Meter
Geodetic_Model:
Horizontal_Datum_Name: D_North_American_1983
Ellipsoid_Name: GRS_1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: calo14_inletLines attribute table
Entity_Type_Definition:
Attribute values for polylines delineating tidal inlets (calo14_inletLines.shp).
Entity_Type_Definition_Source: Producer defined
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: Shape_Leng
Attribute_Definition:
Length of the feature automatically calculated by ArcGIS 10.5, incorporating the projected coordinate system.
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 384.644662
Range_Domain_Maximum: 4239.713364
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: calo14_shoreline attribute table
Entity_Type_Definition:
Attribute values for polygons delineating shoreline (calo14_shoreline.shp).
Entity_Type_Definition_Source: Producer defined
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: Shape_Area
Attribute_Definition:
Area of the feature in square meters automatically calculated by ArcGIS 10.5 incorporating the projected coordinate system.
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 310.309029
Range_Domain_Maximum: 28828842.58
Attribute_Units_of_Measure: square meters
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Denver Federal Center, Building 810, Mail Stop 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
Resource_Description:
This dataset contains two individual datasets: The shoreline dataset contains an Esri polygon shapefile (calo14_shoreline.shp and other shapefile components), and the inlet delineation dataset contains an Esri shapefile (calo14_inletLines.shp and other shapefile components). The CSDGM FGDC metadata describing the two datasets in XML format (calo14_shoreline_inletLines_meta.xml) and the browse graphic (shoreline_asis_browse.png, illustrating a similar dataset from another part of the U.S. Atlantic coast) are also included. These datasets can be downloaded individually or packaged on-demand in a zip file (see the Digital Transfer Option section).
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, firm, or product 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 10.5
Format_Specification: Esri shapefile
Format_Information_Content:
This dataset contains the polygon shapefile of the shorelines as well as the polyline shapefile of the inlet delineation. Also included is the CSDGM metadata, and the browse graphic.
Transfer_Size: 1.4
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services.
Fees: None
Technical_Prerequisites:
To utilize these data, the user must have software capable of reading shapefile format, or GIS software capable of utilizing web mapping or feature services.
Metadata_Reference_Information:
Metadata_Date: 20200810
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sara L. Zeigler
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2290
Contact_Facsimile_Telephone: (508) 457-2310
Contact_Electronic_Mail_Address: szeigler@usgs.gov
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

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