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DisOcean: Distance to the ocean: Wreck 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–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

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

DisOcean_cei_browse.png
“Example of distance to ocean raster. This example is for Cedar Island, VA and...”
thumbnail 155.92 KB
Extension: Wre14_DisOcean.zip
Wre14_DisOcean.tif 1.69 MB
Wre14_DisOcean.tif-ColorRamp.SLD 2.07 KB

Purpose

The dataset described here identifies the Euclidean distance from the center of each 5x5 m GeoTiff cell within the boundaries of the Wreck Island, Virginia study area to the ocean, with the ocean boundary being the mean high water (MHW) ocean shoreline, 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
minY37.236823199542236
minX-75.80993294496228
maxY37.285651089732596
maxX-75.79289657205912
files
nameWre14_DisOcean.tif
contentTypeimage/geotiff
pathOnDisk__disk__30/37/b0/3037b0d4e907889ce0a0d824bdd135ae1a3ae6ff
size1772814
dateUploadedMon Oct 21 12:37:56 MDT 2019
nameWre14_DisOcean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__12/bd/b5/12bdb53901ff345230c022d622ec6e08c710818e
size2123
dateUploadedMon Oct 21 12:37:56 MDT 2019
nameWre14_DisOcean
nativeCrsEPSG:26918
rasterTypeGeoTIFF

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