Kara S. Doran Justin J. Birchler Joshua M. Pardun 20230822 tabular digital data Kara S. Doran Joseph W. Long Justin J. Birchler Owen T. Brenner Matthew W. Hardy Karen L.M. Morgan Hilary F. Stockdon Miguel Loubriel Torres 20170805 5.0 U.S. Geological Survey data release doi:10.5066/F7GF0S0Z St. Petersburg, Florida U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center https://doi.org/10.5066/F7GF0S0Z The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (L=lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2019 United States Army Corps of Engineers (USACE) North Carolina and Virginia lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe. To provide data on the morphology of U.S. sandy beaches. Data were collected during U.S. Geological Survey (USGS) field activity number (FAN) 2019-310-DD; additional survey details are available on the Coastal and Marine Geoscience Data Systems (CMGDS), at https://cmgds.marine.usgs.gov/fan_info.php?fan=2019-310-DD. 20190618 20190625 ground condition Complete None planned -75.879085 -75.460860 36.597585 35.219166 USGS Metadata Identifier USGS:f3ef3af1-d97b-4a67-ac51-cdfac3c82db3 None U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center SPCMSC Coastal and Marine Hazards and Resources Program CMHRP ISO 19115 Topic Category geoscientificInformation elevation environment oceans USGS Thesaurus hazards marine geology ocean sciences coastal processes lidar geomorphology Geographic Names Information System (GNIS) Atlantic Ocean North Carolina Virginia None Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research. U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8117 727-502-8001 kdoran@usgs.gov Microsoft Windows 10 Version 6.1 (Build 7600); Esri ArcMap 10.0.6.6000; MATLAB 2021a Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H. 20120501 vector digital data U.S. Geological Survey Open-File Report 2012-1084 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20121084 Morphologic features were reviewed for quality assurance/quality control (QA/QC) in ArcMap and edited in MATLAB, as needed. Gaps and anomalies in the data result from data coverage or QA/QC procedures, which are detailed in Stockdon and others (2012). This dataset is considered complete for the information presented as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details. Horizontal accuracy is estimated for shorelines only by calculating the 95% confidence interval of the regression line through the shoreline position and is dependent on foreshore slope, scatter in the lidar data points, and specified lidar point uncertainty. Horizontal coordinates were projected to the World Geodetic System of 1984 (WGS84) coordinate system with a resolution of 10 meters (m) in the longshore direction and 2.5 m in the cross-shore direction. Vertical accuracy is determined for each dune crest and toe value based upon the scatter of data in the lidar grid cell. Vertical coordinates were projected to the North American Vertical Datum of 1988 (NAVD88) coordinates system with a resolution of 10 centimeters. United States Army Corps of Engineers (USACE) 20200124 https://www.fisheries.noaa.gov/inport/item/58669 Online digital data 20190618 20190625 ground condition 2019-310-DD A lidar survey that was used to estimate dune morphology variables. Elevation data points from the lidar survey were interpolated in MATLAB 2017a to a gridded domain (segment) that was rotated parallel to the shoreline and had a resolution of 10 meters (m) in the longshore direction and 2.5 m in the cross-shore direction. The interpolation method applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune crest, toe and shoreline are extracted from the elevation grid in MATLAB every 10 m alongshore (each grid row is a profile). For details on feature extraction see: Stockdon and others (2012). The dataset was then converted to a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017). 2019-310-DD 20210930 2019-310-DD_morphology.csv Point Point 48842 0.0197843295 0.0229959585 Decimal degrees D WGS 1984 WGS 1984 6378137.0 298.2572235 North American Vertical Datum of 1988 (NAVD88) 0.0001 meter Attribute values 2019-310-DD_morphology.csv Dune crest, toe and shoreline, beach width and mean beach slope. See the accompanying data dictionary (Data dictionary for lidar.docx) for more details about the numbering system for the state, segment, and profile fields. USGS state State segment file identification (ID) number. USGS 11 12 segment Segment ID number. USGS 1 25 profile Grid row number corresponding to a cross-shore profile location. USGS 1 3562 lon Feature location longitude (WGS84). USGS -75.879085 -75.460860 decimal degrees 999 Null value USGS lat Feature location latitude (WGS84). USGS 35.219166 36.597585 decimal degrees 999 Null value USGS x Cross-shore feature location. USGS -2040.2955 767.637 meters 999 Null value USGS z Feature elevation (NAVD88). For shorelines, it is the mean high-water elevation. USGS 0.26 12.3901 meters 999 Null value USGS x_err 95% confidence interval for the cross-shore shoreline position (NAVD88). USGS 0 17.317 meters 999 Null value USGS z_err Root mean squared vertical error of dune crest (NAVD88). USGS 0.0134 1.9795 meters 999 Null value USGS beach_width Distance between dune toe and shoreline (NAVD88). USGS 8.792 300.3615 meters 999 Null value USGS slope Mean beach slope calculated between dune toe and shoreline (NAVD88). USGS 0.0041 0.1705 radians 999 Null value USGS feature_type An identifier for the type of feature in the table entry. USGS DC Dune Crest USGS DT Dune Toe USGS SL Shoreline USGS The detailed attribute descriptions for the state, segment, and profile fields are included in an accompanying data dictionary (Data dictionary for lidar.docx). These metadata are not complete without this file. The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information. U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 727-502-8117 727-502-8001 kdoran@usgs.gov 2019-310-DD_morphology.csv This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. comma-delimited text The data download file is compressed and must be unzipped using software such as WinZip, 7zip, Peazip or pkUnzip before use. https://coastal.er.usgs.gov/data-release/doi-F7GF0S0Z/data/2019-310-DD_morphology.zip none 20230822 U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8117 727-502-8001 kdoran@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time