Emily J. Sturdivant
Sara L. Zeigler
Benjamin T. Gutierrez
20191220
shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Parramore Island, VA, 2014
1.0
vector digital dataset (polyline)
data release
DOI:10.5066/P9V7F6UX
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
https://doi.org/10.5066/P9V7F6UX
https://www.sciencebase.gov/catalog/item/5daa37e7e4b09fd3b0c9cef9
Emily J. Sturdivant
Sara L. Zeigler
Benjamin T. Gutierrez
Kathryn M. Weber
2019
Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014
1.0
data release
DOI:10.5066/P9V7F6UX
Reston, VA
U.S. Geological Survey
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.
https://doi.org/10.5066/P9V7F6UX
https://www.sciencebase.gov/catalog/item/5d5ece47e4b01d82ce961e36
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.
The shoreline polygons (pari14_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 (pari14_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.
This metadata file describes two related datasets. Full methods are provided in the associated USGS Open-File Report (Zeigler and others, 2019).
201311
201406
Ground condition measured by source lidar data.
None planned
-75.68101145
-75.59849526
37.57810095
37.48246629
USGS Metadata Identifier
USGS:5daa37e7e4b09fd3b0c9cef9
None
Barrier Island
USGS
CMHRP
U.S. Geological Survey
Coastal and Marine Hazards and Resources Program
Woods Hole Coastal and Marine Science Center
St. Petersburg Coastal and Marine Science Center
Parramore Island
Virginia Coast Reserve
ISO 19115 Topic Category
oceans
USGS Thesaurus
geospatial datasets
geospatial analysis
coastal processes
geomorphology
study areas
None
Virginia
VA
Delmarva Peninsula
Parramore Island
Virginia Coast Reserve
North America
United States
USA
Atlantic Ocean
none
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.
Sara L. Zeigler
U.S. Geological Survey
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2290
(508) 457-2310
szeigler@usgs.gov
https://www.sciencebase.gov/catalog/file/get/5daa37e7e4b09fd3b0c9cef9/?name=shoreline_asis_browse.png
Example shoreline polygon (blue) and inlet delineation (red). This example is from Assateague Island, VA and may not represent this dataset.
PNG
Sara L. Zeigler
Emily J. Sturdivant
Benjamin T. Gutierrez
2019
Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology
Open-File Report
2019–1071
Reston, VA
U.S. Geological Survey
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
https://doi.org/10.3133/ofr20191071
Emily J. Sturdivant
2019
bi-transect-extractor
1.0
software release
DOI:10.5066/P915UYMY
Reston, VA
U.S. Geological Survey
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.
https://doi.org/10.5066/P915UYMY
https://code.usgs.gov/cmgp/bi-transect-extractor
Kara J. Doran
Joseph W. Long
Justin J Birchler
Owen T. Brenner
Matthew W. Hardy
Karen L. M. Morgan
Hilary F. Stockdon
Miguel L. Torres
2017
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
tabular digital data
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/F7GF0S0Z
The shoreline shapefile (pari14_shoreline.shp) consists of polygon data produced from elevation data and tidal datum values through an automated process described below. The inlet delineation shapefile (pari14_inletLines.shp) consists of manually created line data. No checks for topological consistency were performed on these data.
The shoreline polygon(s) (pari14_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) (pari14_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 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 (pari14_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 (pari14_SLpts.shp in larger work). The assumed positional accuracy of the inlet polyline(s) is 5 m.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
20151220
2014 NOAA Post-Sandy Topobathymetric LiDAR: Void DEMs South Carolina to New York
map
Silver Spring, MD
NOAA's Ocean Service, National Geodetic Survey (NGS)
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4967
https://coast.noaa.gov/htdata/raster2/elevation/Post_Sandy_DEM_2014_4967
https://coast.noaa.gov/dataviewer
https://inport.nmfs.noaa.gov/inport/item/48367
digital data
20140101
20140421
ground condition
DEM
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.
Full methods are provided in the associated Methods OFR (Zeigler and others, 2019).
pari14_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 0.34 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 -0.11 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 2 polygons.
2018
Emily J. Sturdivant
U.S. Geological Survey
Geographer
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2230
508-457-2310
esturdivant@usgs.gov
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_pari14.ipynb).
pari14_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 2 polylines.
2018
Added keywords section with USGS persistent identifier as theme keyword.
20200810
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Universal Transverse Mercator
18
0.9996
-75
0.0
500000.0
0.0
coordinate pair
0.6096
0.6096
Meter
D_North_American_1983
GRS_1980
6378137.0
298.257222101
pari14_inletLines attribute table
Attribute values for polylines delineating tidal inlets (pari14_inletLines.shp).
Producer defined
FID
Internal feature number
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape_Leng
Length of the feature automatically calculated by ArcGIS 10.5, incorporating the projected coordinate system.
Producer defined
1604.526052
2064.374095
meters
pari14_shoreline attribute table
Attribute values for polygons delineating shoreline (pari14_shoreline.shp).
Producer defined
FID
Internal feature number
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape_Area
Area of the feature in square meters automatically calculated by ArcGIS 10.5 incorporating the projected coordinate system.
Producer defined
127705.4985
21957677.17
square meters
U.S. Geological Survey - ScienceBase
mailing and physical address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
USA
1-888-275-8747
sciencebase@usgs.gov
This dataset contains two individual datasets: The shoreline dataset contains an Esri polygon shapefile (pari14_shoreline.shp and other shapefile components), and the inlet delineation dataset contains an Esri shapefile (pari14_inletLines.shp and other shapefile components). The CSDGM FGDC metadata describing the two datasets in XML format (pari14_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).
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.
Shapefile
ArcGIS 10.5
Esri shapefile
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.
0.7
https://www.sciencebase.gov/catalog/item/5daa37e7e4b09fd3b0c9cef9
https://www.sciencebase.gov/catalog/file/get/5daa37e7e4b09fd3b0c9cef9
https://doi.org/10.5066/P9V7F6UX
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.
None
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.
20200810
Sara L. Zeigler
U.S. Geological Survey
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2290
(508) 457-2310
szeigler@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998