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ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 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

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FI14_ElevMHW.tif.xml
Original FGDC Metadata

View
24.17 KB application/fgdc+xml
FI_ElevMHW_browse.png
“Example of elevation GeoTIFF raster for Fire Island, New York.”
thumbnail 292.76 KB image/png
Extension: FI14_ElevMHW.zip
FI14_ElevMHW.tif 146.29 MB
FI14_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 Fire Island, New York 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
minY40.6099223960556
minX-73.32061757266723
maxY40.78858737329947
maxX-72.7269286241
files
nameFI14_ElevMHW.tif
contentTypeimage/geotiff
pathOnDisk__disk__46/54/f9/4654f9ad9e2cf88acd9a7f992a046f447f42105b
size153394594
dateUploadedThu Jun 20 12:53:19 MDT 2019
nameFI14_ElevMHW.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__2a/19/62/2a19621da786b5c74dc50cf4f954613b71cd2a4f
size2123
dateUploadedThu Jun 20 12:53:19 MDT 2019
nameFI14_ElevMHW
nativeCrsEPSG:26918
rasterTypeGeoTIFF

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