Skip to main content

DisOcean: Distance to the ocean: Assateague Island, MD & 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 image/png
Extension: ASIS14_DisOcean.zip
ASIS14_DisOcean.tfw 90 Bytes
ASIS14_DisOcean.tif 231.06 MB
ASIS14_DisOcean.tif.ovr 77.82 MB
ASIS14_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 Assateague Island, Maryland 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
minY37.84497236130524
minX-75.40845663526026
maxY38.32750517543808
maxX-75.08856148489657
files
nameASIS14_DisOcean.tfw
contentTypetext/plain
pathOnDisk__disk__3a/3a/2d/3a3a2df0ba2c14f841db5e8f5386e35bca4ef2d5
size90
dateUploadedMon Oct 21 11:35:18 MDT 2019
nameASIS14_DisOcean.tif
contentTypeimage/geotiff
pathOnDisk__disk__f1/ae/46/f1ae466f2e8cbacb12697c4fd1f8c6788f555b09
size242283103
dateUploadedMon Oct 21 11:35:18 MDT 2019
nameASIS14_DisOcean.tif.ovr
contentTypeimage/tiff
pathOnDisk__disk__44/f0/8e/44f08ec33c43d518509b30cc5834d3ee5ab84ead
size81603197
dateUploadedMon Oct 21 11:35:18 MDT 2019
nameASIS14_DisOcean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__27/2e/96/272e962a1e41f0fbf384a7f39c8ac8cc9291dfc3
size2124
dateUploadedMon Oct 21 11:35:18 MDT 2019
nameASIS14_DisOcean
nativeCrsEPSG:26918
rasterTypeGeoTIFF

Item Actions

View Item as ...

Save Item as ...

View Item...