Kara S. Doran Joseph W. Long Jacquelyn R. Overbeck 20150325 vector digital data U.S. Geological Survey Data Release doi:10.5066/F7M906Q6 St. Petersburg, FL U.S. Geological Survey https://doi.org/10.5066/F7M906Q6 The National Assessment of Coastal Change Hazards project derives features of beach morphology from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes along the United States Southeast Atlantic Ocean from Salvo to Duck, North Carolina for data collected at various times between 1996 and 2012. To provide mean slope data between the endpoint locations of the Mean High Water and seaward-most dune toe elevations, interpolated to a 200 m alongshore resolution using a 400 m wide Hanning window. This dataset, NC_Mean_Slopes.txt and others associated with this project can be accessed online at https://doi.org/10.5066/F7M906Q6 19961009 20121129 Ground condition complete As needed. Data are updated when new lidar surveys are available. -75.77803244 -75.461037 36.243400 35.414028 USGS Metadata Identifier USGS:15d884a5-ff30-4a53-81d9-650a701b066c General U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center Coastal and Marine Geology Program CMGP SPCMSC ISO 19115 Topic Category coastal slope environment Data Categories for Marine Planning distributions bathymetry and elevation Marine Realms Information Bank (MRIB) Keywords altimetry topographic mapping USGS Thesaurus LIDAR topography digital elevation models General United States of America Atlantic Ocean North Carolina Duck, North Carolina Salvo, North Carolina None 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 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 7 Version 6.1 (Build 7600) ; ESRI ArcGIS 10.0.4.4000; MATLAB R2011b Data gaps exist where there are no sandy shorelines (such as over inlets, marshes, or rocky coasts). For each 400 meter window width, data will be given a null value if greater than 50% of points are missing. No additional checks for consistency were performed on this data. These data include beach and dune morphology in the form of mean beach slope. Horizontal accuracy was not estimated. Vertical accuracy for beach and dune morphology (dune crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys is +/- 15 centimeters. However, vertical accuracies may vary based on the type of terrain (for example, inaccuracies may increase as slope increases or with the presence of extremely dense vegetation) and the accuracy of the GPS and aircraft-attitude measurements. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1 Online digital data 19961009 19961016 The date when lidar surveys were conducted. NOAA96 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=2 Online digital data 19970915 19971002 The dates when lidar surveys were conducted. NOAA97 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=6 Online digital data 19980907 2010630 The dates when lidar surveys were conducted. NOAA98 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=60 Online digital data 19990909 19990909 The dates when lidar surveys were conducted. NOAA99a Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=61 Online digital data 19990918 19990918 The dates when lidar surveys were conducted. NOAA99b Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) 20000101 http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=8# Online digital data 19991006 19991104 The dates when lidar surveys were conducted. NOAA99c Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. U.S. Geological Survey (USGS) Unpublished material Internal digital data 20030916 20030916 The dates when lidar surveys were conducted. USGS03a Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. U.S. Geological Survey (USGS) Unpublished material Internal digital data 20030921 20030921 The dates when lidar surveys were conducted. USGS03b Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JALBTCX) 20141114 ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/19 Online digital data 20040401 20040925 The dates when lidar surveys were conducted. USACE04 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JALBTCX) 20141114 ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/33 Online digital data 20050824 20051126 The dates when lidar surveys were conducted. USACE05 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JALBTCX) 20141114 ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/1069 Online digital data 20090816 20090824 The dates when lidar surveys were conducted. NOAAUSACE09 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. U.S. Geological Survey (USGS) 2011 http://pubs.usgs.gov/ds/578/ Online digital data 20091127 20091201 The dates when lidar surveys were conducted. USGS09 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. U.S. Geological Survey (USGS) 2013 http://pubs.usgs.gov/ds/765/ Online digital data 20121105 20121129 The dates when lidar surveys were conducted. USGS12 Lidar-derived elevation data collected by this source was used to estimate dune morphology variables. For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB R2012b to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 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 morphology data are extracted from the elevation grid in MATLAB. Beach slopes were extracted from endpoint locations of the Mean High Water and dune toe elevations. The beach slopes were temporally averaged then interpolated to 200 m alongshore resolution by filtering with a 400 m wide Hanning window. More details on the methodology can be found in the USGS Open-File Report, "A method for determining average beach slope and beach slope variability for U.S. sandy coastlines" http://pubs.usgs.gov/of/2015/1053 2011 Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog. 20170124 U.S. Geological Survey Alan O. Allwardt Contractor -- Information Specialist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060 831-460-7551 831-427-4748 aallwardt@usgs.gov Added keywords section with USGS persistent identifier as theme keyword. 20201013 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 Point Entity Point 503 0.0197843295 0.0229959585 Decimal Degrees D WGS 1984 WGS 1984 6378137.0 298.257223563 NC_Mean_Slopes.txt Lidar-derived beach slope. Measured as the endpoint slope between the locations of dune toe and Mean High Water elevation. Values of -999 represent no data values. USGS Longitude Longitude of interpolated shoreline position in decimal degrees. USGS -75.77803244 -75.461037 Decimal Degrees Latitude Longitude of interpolated shoreline position in decimal degrees. USGS 36.243400 35.414028 Decimal Degrees slope Mean of beach slopes. USGS 0.009347 0.128267 Radians mean res err Mean residual error. USGS 0.000342 0.044822 Radians 95% confidence 95 percent confidence interval, equal to 2*mean_res_err. USGS 0.000683 0.089643 Radians U.S. Geological Survey (USGS) Jacquelyn R. Overbeck mailing and physical

600 4th Street Sourth

Saint Petersburg FL 33701 727-502-8104 727-502-8001 joverbeck@usgs.gov Although these data 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 on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS 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. text file none https://coastal.er.usgs.gov/data-release/doi-F7M906Q6/data/NC_beach_slopes/NC_Mean_slopes.txt Data is accessible online at https://doi.org/10.5066/F7M906Q6 none 20201013 U.S. Geological Survey (USGS) Jacquelyn R. Overbeck mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8104 727-502-8001 joverbeck@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time