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DisOcean: Distance to the ocean: Assawoman 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: Assa14_DisOcean.zip
Assa14_DisOcean.tif 21.26 MB
Assa14_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 Assawoman 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
minY37.780246849408464
minX-75.53683189963733
maxY37.8960166623271
maxX-75.41318509840572
files
nameAssa14_DisOcean.tif
contentTypeimage/geotiff
pathOnDisk__disk__94/4f/78/944f784e30d99a87806f28643b91c21538fbb86a
size22290588
dateUploadedMon Oct 21 12:10:51 MDT 2019
nameAssa14_DisOcean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__d1/d9/fb/d1d9fb479d9498f410f4f6d2b3b4c0bfd3308cac
size2123
dateUploadedMon Oct 21 12:10:51 MDT 2019
nameAssa14_DisOcean
nativeCrsEPSG:26918
rasterTypeGeoTIFF

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