Title:DisOcean: Distance to the ocean: Cedar Island, VA, 2010 Abstract:
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.
For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019).
Zeigler, Sara L., Sturdivant, Emily J., and Gutierrez, Benjamin T., 2019, DisOcean: Distance to the ocean: Cedar Island, VA, 2010: data release DOI:10.5066/P944FPA4, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA.
Sturdivant, Emily J., Zeigler, Sara L., Gutierrez, Benjamin T., and Weber, Kathryn M., 2019, Barrier island geomorphology and shorebird habitat metrics—Four sites in New York, New Jersey, and Virginia, 2010–2014: data release DOI:10.5066/P944FPA4, U.S. Geological Survey, Reston, VA.
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.
Planar coordinates are encoded using row and column
Abscissae (x-coordinates) are specified to the nearest 5.0
Ordinates (y-coordinates) are specified to the nearest 5.0
Planar coordinates are specified in Meter
The horizontal datum used is D_North_American_1983.
The ellipsoid used is GRS_1980.
The semi-major axis of the ellipsoid used is 6378137.0.
The flattening of the ellipsoid used is 1/298.257222101.
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.
(Source: Producer defined)
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.
(Source: Producer defined)
Range of values
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.
Entity_and_Attribute_Detail_Citation:Methods Open-File Report by Zeigler and others (2019)
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.
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.
Date: 10-Aug-2020 (process 2 of 2)
Added keywords section with USGS persistent identifier as theme keyword.
Person who carried out this activity:
Zeigler, Sara L., Sturdivant, Emily J., and Gutierrez, Benjamin T., 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, U.S. Geological Survey, Reston, VA.
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
Weber, Kathryn M., List, Jeffrey H., and Morgan, Karen L.M., 2005, An operational mean high water datum for determination of shoreline position from topographic lidar data.: Open-File Report 2005-1027, U.S. Geological Survey, Reston, VA.
How accurate are the geographic locations?
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.
Where are the gaps in the data? What is missing?
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.
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.
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What's the catalog number I need to order this data set?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).
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