DisOcean: Distance to the ocean: Edwin B. Forsythe NWR, NJ, 2014

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Sara L. Zeigler
Originator: Emily J. Sturdivant
Originator: Benjamin T. Gutierrez
Publication_Date: 2019
Title:
DisOcean: Distance to the ocean: Edwin B. Forsythe NWR, NJ, 2014
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital dataset
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P944FPA4
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: https://doi.org/10.5066/P944FPA4
Online_Linkage:
https://www.sciencebase.gov/catalog/item/5d0bc916e4b0941bde4fc5f3
Larger_Work_Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Originator: Benjamin T. Gutierrez
Originator: Kathryn M. Weber
Publication_Date: 2019
Title:
Barrier island geomorphology and shorebird habitat metrics—Four sites in New York, New Jersey, and Virginia, 2010–2014
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P944FPA4
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
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.
Online_Linkage: https://doi.org/10.5066/P944FPA4
Online_Linkage:
https://www.sciencebase.gov/catalog/item/5be5c5bce4b0b3fc5cf8c7cb
Description:
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.
Purpose:
The dataset described here identifies the Euclidean distance from the center of each 5x5 m GeoTiff cell within the boundaries of the Edwin B. Forsythe NWR, New Jersey 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.
Supplemental_Information:
For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201311
Ending_Date: 201406
Currentness_Reference: Ground condition measured by source lidar data.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -74.37009558
East_Bounding_Coordinate: -74.09494855
North_Bounding_Coordinate: 39.4339412
South_Bounding_Coordinate: 39.76864296
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:5d0bc916e4b0941bde4fc5f3
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: barrier island
Theme_Keyword: USGS
Theme_Keyword: CMGP
Theme_Keyword: Geographic Information Systems
Theme_Keyword: GIS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: MHW
Theme_Keyword: Mean High Water
Theme_Keyword: Coastal Habitat
Theme_Keyword: Edwin B. Forsythe NWR
Theme_Keyword: Long Beach Island
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: geospatial analysis
Theme_Keyword: geomorphology
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: New Jersey
Place_Keyword: NJ
Place_Keyword: Pullen Island
Place_Keyword: Edwin B. Forsythe NWR
Place_Keyword: North America
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: Atlantic Ocean
Place_Keyword: Long Beach Island
Access_Constraints: none
Use_Constraints:
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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Sara L. Zeigler
Contact_Address:
Address_Type: mailing address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: US
Contact_Voice_Telephone: 508-548-8700 x2290
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: szeigler@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name:
https://www.sciencebase.gov/catalog/file/get/5d0bc916e4b0941bde4fc5f3/?name=EF_DisOcean_browse.png
Browse_Graphic_File_Description:
Example of distance to ocean GeoTIFF for Edwin B. Forsythe NWR, New Jersey.
Browse_Graphic_File_Type: PNG
Cross_Reference:
Citation_Information:
Originator: Sara L. Zeigler
Originator: Emily J. Sturdivant
Originator: Benjamin T. Gutierrez
Publication_Date: 2019
Title:
Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2019–1071
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
Online_Linkage: https://doi.org/10.3133/ofr20191071
Cross_Reference:
Citation_Information:
Originator: Kara J. Doran
Originator: Joseph W. Long
Originator: Justin J Birchler
Originator: Owen T. Brenner
Originator: Matthew W. Hardy
Originator: Karen L. M. Morgan
Originator: Hilary F. Stockdon
Originator: Miguel L. Torres
Publication_Date: 2017
Title:
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Affiliated datasets created using the same methods. A version of this geomorph points dataset may become available as 14_CNT01_morphology.zip. These data were made available to us prior to publication. As a result some of the processing is different from what is described here.
Online_Linkage: https://doi.org/10.5066/F7GF0S0Z
Cross_Reference:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Jeffrey H. List
Originator: Karen L.M. Morgan
Publication_Date: 2005
Title:
An operational mean high water datum for determination of shoreline position from topographic lidar data.
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1027
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2005/1027/
Data_Quality_Information:
Logical_Consistency_Report:
This file consists of GeoTIFF raster data produced in reference to the shoreline polygon dataset (ebf14_shoreline.shp) published within the larger work. The seaward portion of this shoreline, which is the only component of the shoreline relevant to the present dataset, was originally derived from mean high water (MHW) shoreline points (ebf14_SLpts.shp in larger work; 14_CNT01_morphology.csv in Doran and others, 2017). These shoreline points were QA/QC'd in ArcMap and edited in MATLAB. The shoreline was not further checked for topological consistency. No further logical accuracy tests were conducted on the present dataset.
Completeness_Report:
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 Edwin B. Forsythe NWR 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.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
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 (ebf14_shoreline.shp in the larger work). Specifically, the seaward portions of the polygons were derived from the shoreline points (ebf14_SLpts.shp in larger work). Seaward segments of the shoreline polygons are accurate to about 5 m.
Shoreline point coordinates were transformed with the datum transformation WGS_1984_(ITRF00)_To_NAD_1983 (WKID: 108190, accuracy: 0.1 m) using the 'Project' tool in ArcGIS.
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.
Lineage:
Process_Step:
Process_Description:
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 (EF14_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 (ebf14_shoreline.shp contained in the larger work) and the study area boundary. The custom study area boundary spans the entire coverage of Edwin B. Forsythe NWR relevant to the broader research program (see Zeigler and others, 2019 for more details). Its extent beyond the Edwin B. Forsythe NWR 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 points (ebf14_SLpts.shp in larger work) were 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.
Process_Date: 20171214
Process_Step:
Process_Description:
Added keywords section with USGS persistent identifier as theme keyword.
Process_Date: 20200810
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Position: Marine Geologist
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 7389
Column_Count: 4788
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 18
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -75.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 5.0
Ordinate_Resolution: 5.0
Planar_Distance_Units: Meter
Geodetic_Model:
Horizontal_Datum_Name: D_North_American_1983
Ellipsoid_Name: GRS_1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: EF14_DisOcean.tif
Entity_Type_Definition:
The distance to ocean layer (EF14_DisOcean.tif) is a 7389 x 4788 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.
Entity_Type_Definition_Source: Producer defined
Attribute:
Attribute_Label: Value
Attribute_Definition:
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.
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 4528.25
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
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)
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
These data files comprise a 32-bit GeoTIFF (EF14_DisOcean.tif), which provides a continuous distance value for each 5x5 m cell. Additionally, the CSDGM FGDC metadata (ebf14_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).
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoTIFF
Format_Version_Number: ArcGIS 10.4
Format_Specification: 32-bit GeoTIFF
Format_Information_Content:
A 32-bit GeoTIFF, associated GeoTIFF components, a browse thumbnail PNG image, and FGDC CSDGM metadata in XML format.
Transfer_Size: 144.5
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
https://www.sciencebase.gov/catalog/item/5d0bc916e4b0941bde4fc5f3
Network_Resource_Name:
https://www.sciencebase.gov/catalog/file/get/5d0bc916e4b0941bde4fc5f3
Network_Resource_Name: https://doi.org/10.5066/P944FPA4
Access_Instructions:
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.
Fees: None
Technical_Prerequisites:
To utilize these data, the user must have software capable of reading a 32-bit GeoTIFF format.
Metadata_Reference_Information:
Metadata_Date: 20240319
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sara L. Zeigler
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: United States
Contact_Voice_Telephone: 508-548-8700 x2290
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319)
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P944FPA4/EF14_DisOcean.tif.html>
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