2017 lidar-derived mean high water shoreline for the southern coast of North Carolina from Cape Lookout to Cape Fear (NCsouth)

Dates

Publication Date: 2023-10-23
Time Period: 2017

Citation

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/10.5066/P9HYNUNV.

Summary

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 [...]

Summary

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.

Contacts

Point of Contact :: Marie K Bartlett
Author :: Marie K Bartlett, Amy Farris, Kathryn M Weber, Rachel E. Henderson
Publisher :: U.S. Geological Survey
Data Owner :: Woods Hole Coastal and Marine Science Center
USGS Program :: Coastal and Marine Hazards and Resources Program
USGS Mission Area :: Natural Hazards
Distributor :: U.S. Geological Survey - ScienceBase

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NCsouth_shoreline_2017_browse.PNG “2017 lidar shoreline coverage for NCsouth”		417.5 KB	image/png

Shapefile: NCsouth_shoreline_2017.zip
NCsouth_shoreline_2017.xml Original FGDC Metadata	View	28.07 KB
NCsouth_shoreline_2017.cpg		5 Bytes
NCsouth_shoreline_2017.dbf		3.61 KB
NCsouth_shoreline_2017.prj		402 Bytes
NCsouth_shoreline_2017.sbn		476 Bytes
NCsouth_shoreline_2017.sbx		148 Bytes
NCsouth_shoreline_2017.shp		142.07 KB
NCsouth_shoreline_2017.shx		372 Bytes

Related External Resources

Type: Web Link

Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey Software	https://code.usgs.gov/cch/dsas/
Digital Shoreline Analysis System (DSAS) version 5.1 User Guide	https://pubs.usgs.gov/publication/ofr20211091

Type: Project Page

Digital Shoreline Analysis System (DSAS) Project Page	https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas

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.

2017 lidar-derived mean high water shoreline for the southern coast of North Carolina from Cape Lookout to Cape Fear (NCsouth)

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