Sara L. Zeigler
Emily J. Sturdivant
Benjamin T. Gutierrez
2019
DisOcean: Distance to the ocean: Cedar Island, VA, 2010
1.0
raster digital dataset
data release
DOI:10.5066/P944FPA4
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
https://doi.org/10.5066/P944FPA4
https://www.sciencebase.gov/catalog/item/5d0bc8d2e4b0941bde4fc593
Emily J. Sturdivant
Sara L. Zeigler
Benjamin T. Gutierrez
Kathryn M. Weber
2019
Barrier island geomorphology and shorebird habitat metrics—Four sites in New York, New Jersey, and Virginia, 2010–2014
1.0
data release
DOI:10.5066/P944FPA4
Reston, VA
U.S. Geological Survey
Suggested 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.
https://doi.org/10.5066/P944FPA4
https://www.sciencebase.gov/catalog/item/5be5c5bce4b0b3fc5cf8c7cb
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 models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.
The dataset described here identifies the Euclidean distance from the center of each 5x5 m GeoTiff cell within the boundaries of the Cedar Island, Virginia 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.
For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019).
20100321
20100328
Ground condition measured by source lidar data.
None planned
-75.64117637
-75.58500313
37.58001334
37.69202748
USGS Metadata Identifier
USGS:5d0bc8d2e4b0941bde4fc593
None
barrier island
USGS
CMGP
Geographic Information Systems
GIS
U.S. Geological Survey
Coastal and Marine Geology Program
Woods Hole Coastal and Marine Science Center
St. Petersburg Coastal and Marine Science Center
MHW
Mean High Water
Coastal Habitat
Cedar Island
Virginia Coast Reserve
ISO 19115 Topic Category
oceans
environment
USGS Thesaurus
geospatial datasets
geospatial analysis
geomorphology
None
Virginia
VA
Delmarva Peninsula
Cedar Island
North America
United States
USA
Atlantic Ocean
Virginia Coast Reserve
none
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.
U.S. Geological Survey
Sara L. Zeigler
mailing address
384 Woods Hole Road
Woods Hole
MA
02543
US
508-548-8700 x2290
508-457-2310
szeigler@usgs.gov
https://www.sciencebase.gov/catalog/file/get/5d0bc8d2e4b0941bde4fc593/?name=CeI_DisOcean_browse.png
Example of distance to ocean GeoTIFF for Cedar Island, Virginia.
PNG
Sara L. Zeigler
Emily J. Sturdivant
Benjamin T. Gutierrez
2019
Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology
Open-File Report
2019–1071
Reston, VA
U.S. Geological Survey
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
https://doi.org/10.3133/ofr20191071
Kathryn M. Weber
Jeffrey H. List
Karen L.M. Morgan
2005
An operational mean high water datum for determination of shoreline position from topographic lidar data.
Open-File Report
2005-1027
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/of/2005/1027/
This file consists of GeoTIFF raster data produced in reference to the shoreline polygon dataset (cei10_shoreline.shp) published within the larger work. The shoreline was not further checked for topological consistency. No further logical accuracy tests were conducted on the present dataset.
This dataset is clipped to a custom boundary and may not include the entire spatial extent of source datasets as they are published in original form. However, the custom boundary spans the entire coverage of Cedar Island relevant to the broader research program (see Zeigler and others, 2019 for more details). This dataset is therefore considered complete for the information presented as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
We assume an accuracy within 5 m horizontally. No formal accuracy assessments of the horizontal positional information in the dataset have been conducted. However, the accuracy is dependent on that of the source data.
Horizontal accuracy is inherited from the seaward portion of the shoreline polygons (cei10_shoreline.shp in the larger work). Seaward segments of the shoreline polygons are accurate to about 5 m.
This raster file was created in reference system North American Datum (NAD) 1983 Universal Transverse Mercator (UTM) zone 18N at a resolution of 5 m.
Full methods are provided in the associated USGS Open-File Report (Zeigler and others, 2019). The following steps were all performed in ArcGIS 10.4.1.
Using ArcGIS, we started by locating the ‘ocean’ boundary in the study area. Using the geomorphic settings GeoTIFF (CeI11_GeoSet.tif in larger work), we selected all raster cells defined as ‘beach’ and exported the selected features as a polygon using the ‘Raster to Polygon’ conversion tool. Here, ‘beach’ is defined as the area between the shoreline (cei10_shoreline.shp contained in the larger work) and the study area boundary. The custom study area boundary spans the entire coverage of Cedar Island relevant to the broader research program (see Zeigler and others, 2019 for more details). Its extent beyond the Cedar Island barrier island is otherwise irrelevant and does not affect data quality or completeness.
In an Edit session in ArcGIS, we used the ‘Cut Polygons’ tool to manually clip the beach polygon so that only the portion of the polygon on the ocean-facing side of the barrier island remained. The mean high water (MHW) shoreline (cei10_shoreline.shp in larger work) was referenced to identify the extent of the ocean-facing portion of the beach. For these purposes, this clipped beach area from the MHW shoreline seaward to the edge of the study area was considered the ocean boundary.
Using the ‘Euclidean Distance’ tool, we created a raster layer with a 5x5 m cell size that measured the straight-line distance from each cell within the study area to the closest cell in the clipped beach polygon (considered the ocean boundary). Cells landward of the MHW shoreline received a positive distance to ocean value and those seaward of the MHW shoreline received a value of 0 m. See Zeigler and others (2019) for example figures.
No transformations were performed because shoreline polygons and geomorphic setting rasters were acquired in the NAD83 UTM projection.
20171214
Added keywords section with USGS persistent identifier as theme keyword.
20200810
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Raster
Grid Cell
2492
975
1
Universal Transverse Mercator
18
0.9996
-75.0
0.0
500000.0
0.0
row and column
5.0
5.0
Meter
D_North_American_1983
GRS_1980
6378137.0
298.257222101
CeI10_DisOcean.tif
The distance to ocean layer (CeI11_DisOcean.tif) is a 2492 x 975 pixel raster layer, where the value of every 5x5 m cell is distance from the center of each 5x5 m GeoTIFF cell to the ocean, with the ocean boundary defined by the mean high water shoreline seaward to the study area boundary. NoData value of ‘-9999’ indicates cells outside the study area extent.
Producer defined
Value
Distance from the center of each 5x5 m GeoTIFF cell to the ocean, with the ocean boundary defined by the mean high water shoreline seaward to the study area boundary. NoData value of ‘-9999’ indicates cells outside the study area extent.
Producer defined
0
3451.27
meters
The distance to ocean layer is a GeoTIFF raster layer, where the value of each 5x5 m cell is the Euclidean distance from the center of that cell to the ocean, with the boundary for 'ocean' being the mean high water shoreline seaward to the edge of the study area. Please review the individual attribute descriptions as well as Zeigler and others (2019) for detailed information. NoData value of ‘-9999’ indicates cells outside the study area extent.
Methods Open-File Report by Zeigler and others (2019)
U.S. Geological Survey - ScienceBase
mailing and physical address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
USA
1-888-275-8747
sciencebase@usgs.gov
These data files comprise a 32-bit GeoTIFF (CeI10_DisOcean.tif), which provides a continuous distance value for each 5x5 m cell. Additionally, the CSDGM FGDC metadata (cei10_DisOcean_meta.xml) and the browse graphic (EF_DisOcean_browse.png) are included. These data can be downloaded individually or packaged on-demand in a zip file (see the Digital Transfer Option section).
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
GeoTIFF
ArcGIS 10.4
32-bit GeoTIFF
A 32-bit GeoTIFF, associated GeoTIFF components, a browse thumbnail PNG image, and FGDC CSDGM metadata in XML format.
10.5
https://www.sciencebase.gov/catalog/item/5d0bc8d2e4b0941bde4fc593
https://www.sciencebase.gov/catalog/file/get/5d0bc8d2e4b0941bde4fc593
https://doi.org/10.5066/P944FPA4
The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services.
None
To utilize these data, the user must have software capable of reading a 32-bit GeoTIFF format.
20200810
Sara L. Zeigler
U.S. Geological Survey
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543
United States
508-548-8700 x2290
szeigler@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998