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Development: Development delineation: Cape Hatteras, NC, 2014

Dates

Publication Date
Start Date
2014-01-01
End Date
2014-04-21

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.

Summary

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 [...]

Contacts

Attached Files

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Devel_rock_browse.png
“Example polygons of human development. Bottom left panel shows moderate devel...”
thumbnail 789.12 KB
Shapefile: CaHa14_Development.zip
CaHa14_Development.CPG 5 Bytes
CaHa14_Development.dbf 99 Bytes
CaHa14_Development.prj 424 Bytes
CaHa14_Development.sbn 172 Bytes
CaHa14_Development.sbx 124 Bytes
CaHa14_Development.shp 70.82 KB
CaHa14_Development.shx 124 Bytes

Purpose

The vector layer delineates areas of human development. Polygons were hand-digitized from 0.35-m aerial imagery captured in 2014 and outline areas of general human development (for example, buildings, residential development, paved roads) as well as coastal armoring (for example, jetties and groins). The data were used in vector format during a supervised land cover classification and converted to raster format to be merged with other land cover sub-classifications, producing the supervised classification raster layer (caha14_SupClass.tif in larger work). This dataset is part of a series of spatial datasets used to describe characteristics of barrier islands found along the North American Atlantic coast in order to identify habitat for the federally protected piping plover (Charadrius melodus). Information contained in these spatial datasets was used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat (Zeigler and others, 2019).

Additional Information

Shapefile Extension

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