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DisOcean: Distance to the ocean: Fire Island, NY, 2010

Dates

Publication Date
Start Date
2010-08-19
End Date
2010-08-27

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.

FI_DisOcean_browse.png
“Example of distance to ocean GeoTIFF for Fire Island, New York.”
thumbnail 57.4 KB
Extension: FI10_DisOcean.zip
FI10_DisOcean.tif 146.29 MB
FI10_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 Fire Island, New York study area to the ocean, with the ocean boundary being the mean high water (MHW) ocean shoreline, according to lidar captured in 2010. 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
rasterTypeGeoTIFF
nameFI10_DisOcean
files
nameFI10_DisOcean.tif
contentTypeimage/geotiff
pathOnDisk__disk__35/e8/f7/35e8f7393400b86f843393ba040e0058b17df538
size153393048
dateUploadedThu Jun 20 12:28:35 MDT 2019
nameFI10_DisOcean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__4c/6c/71/4c6c7145bfb5be5ad3a83a0f9c6f8488a19621ad
size2123
dateUploadedThu Jun 20 12:28:35 MDT 2019
nativeCrsEPSG:26918

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