Skip to main content

ElevMHW: Elevation adjusted to local mean high water: Cedar Island, VA, 2014

Dates

Publication Date
Start Date
2013-11
End Date
2014-06

Citation

Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Four sites in New York, New Jersey, and Virginia, 2010–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P944FPA4.

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

Click on title to download individual files attached to this item.

CeI_ElevMHW_browse.png
“Example of elevation GeoTIFF raster for Cedar Island, Virginia.”
thumbnail 1.02 MB
Extension: CeI14_ElevMHW.zip
CeI14_ElevMHW.tif 9.5 MB
CeI14_ElevMHW.tif-ColorRamp.SLD 2.07 KB

Purpose

This dataset indicates the elevation (adjusted for mean high water tidal datum) for each 5x5 m cell within the boundaries of the Cedar Island, Virginia study area according to lidar captured in 2014. See Zeigler and others (2019) for additional details. 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.

Additional Information

Raster Extension

boundingBox
minY37.58587258071055
minX-75.64118245582877
maxY37.692332374759
maxX-75.5850005252613
files
nameCeI14_ElevMHW.tif
contentTypeimage/geotiff
pathOnDisk__disk__62/ff/94/62ff9419574b28c036138646a5725b037268f606
size9965272
dateUploadedThu Jun 20 12:03:16 MDT 2019
nameCeI14_ElevMHW.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__a8/aa/89/a8aa89efb669579005dc53d5c94d7caf45cf665c
size2124
dateUploadedThu Jun 20 12:03:16 MDT 2019
nameCeI14_ElevMHW
nativeCrsEPSG:26918
rasterTypeGeoTIFF

Item Actions

View Item as ...

Save Item as ...

View Item...