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2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Fear to the South Carolina border (NCwest)

Dates

Publication Date
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 [...]

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NCwest_shoreline_2017_browse.PNG
“2017 lidar shoreline coverage for NCwest”
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Shapefile: NCwest_shoreline_2017.zip
NCwest_shoreline_2017.cpg 5 Bytes
NCwest_shoreline_2017.dbf 1.26 KB
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NCwest_shoreline_2017.sbn 212 Bytes
NCwest_shoreline_2017.sbx 132 Bytes
NCwest_shoreline_2017.shp 37.36 KB
NCwest_shoreline_2017.shx 156 Bytes

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.

Additional Information

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