ElevMHW: Elevation adjusted to local mean high water: Cape Lookout, NC, 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: 20191220
Title:
ElevMHW: Elevation adjusted to local mean high water: Cape Lookout, NC, 2014
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital dataset
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9V7F6UX
Online_Linkage:
https://www.sciencebase.gov/catalog/item/5daa3750e4b09fd3b0c9ce54
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: Sixteen sites on the U.S. Atlantic Coast, 2013–2014
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
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—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.
Online_Linkage: https://doi.org/10.5066/P9V7F6UX
Online_Linkage:
https://www.sciencebase.gov/catalog/item/5d5ece47e4b01d82ce961e36
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:
This digital elevation model (DEM) represents the elevation (adjusted for mean high water tidal datum) for each 5x5 m cell within the boundaries of the Cape Lookout, North Carolina study area as measured by lidar collected in 2014. See Zeigler and others (2019) for additional details.
The DEM 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: Collection period of the source lidar data.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -76.66765709
East_Bounding_Coordinate: -76.0286292
North_Bounding_Coordinate: 35.06789978
South_Bounding_Coordinate: 34.58000556
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:5daa3750e4b09fd3b0c9ce54
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Barrier Island
Theme_Keyword: USGS
Theme_Keyword: CMHRP
Theme_Keyword: Geographic Information Systems
Theme_Keyword: GIS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal and Marine Hazards and Resources 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: Cape Lookout
Theme_Keyword: Cape Lookout National Seashore
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: elevation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: geospatial analysis
Theme_Keyword: geomorphology
Theme_Keyword: digital elevation models
Theme_Keyword: lidar
Theme_Keyword: topography
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: North Carolina
Place_Keyword: NC
Place_Keyword: Shackleford Banks
Place_Keyword: South Core Islands
Place_Keyword: North Core Islands
Place_Keyword: Cape Lookout
Place_Keyword: North America
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: Atlantic Ocean
Place_Keyword: Cape Lookout National Seashore
Access_Constraints: None. Please see 'Distribution Info' for details.
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/5daa3750e4b09fd3b0c9ce54/?name=Elev_cei_browse.png
Browse_Graphic_File_Description:
Example DEM. This example is for Cedar Island, VA and does not represent this dataset.
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: 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 raster data produced from elevation data and tidal datum values through a semi-automated process described below. 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 the original source datasets as they are published in original form. However, the custom boundary spans the entire coverage of the Cape Lookout site 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:
The horizontal accuracy of the raster inherited the accuracy of the source digital elevation model (DEM), which was dependent on the accuracy of the source lidar. Refer to source contribution below for details. No projection transformations were required, because the source DEM was downloaded in NAD83 UTM Zone 18N. As such, horizontal accuracy was not affected by reprojection. The source DEM was resampled to 5-m resolution using bilinear interpolation. We estimate the accuracy of this elevation raster to be within 1 m horizontally.
No formal accuracy assessments were conducted on the final DEM.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The vertical accuracy of the raster inherited the accuracy of the source digital elevation model (DEM), which was dependent on the accuracy of the source lidar. Refer to source contribution below for details. The source DEM was resampled to 5-m resolution using the ‘Resample’ tool with bilinear interpolation in ArcToolbox version 10.4.1. Elevation values were adjusted to the operational mean high water (MHW) value for the region as determined by Weber and others (2005) (refer to processing descriptions below). According to Weber and others (2005), tidal datums used to calculate location-specific offsets are accurate within 6 cm.
We estimate an overall conservative vertical accuracy of the final DEM within 1 m. However, areas with abrupt changes in elevation (e.g., a raster cell with a very low elevation adjacent to a cell with a very high elevation) may experience degraded vertical accuracy due to resampling.
No formal accuracy assessments were conducted on the final DEM.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Publication_Date: 20151220
Title:
2014 NOAA Post-Sandy Topobathymetric LiDAR: Void DEMs South Carolina to New York
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Silver Spring, MD
Publisher: NOAA's Ocean Service, National Geodetic Survey (NGS)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4967
Online_Linkage:
https://coast.noaa.gov/htdata/raster2/elevation/Post_Sandy_DEM_2014_4967
Online_Linkage: https://coast.noaa.gov/dataviewer
Online_Linkage: https://inport.nmfs.noaa.gov/inport/item/48367
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201311
Ending_Date: 201406
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: DEM
Source_Contribution:
Source elevation dataset used directly to produce this MHW elevation raster. Source data were downloaded from https://coast.noaa.gov/dataviewer in horizontal datum NAD 1983 (2011), UTM Zone 18N, vertical datum NAVD88. Downloaded on 4/8/2016.
Process_Step:
Process_Description:
Full methods and justification are provided in the associated Methods OFR (Zeigler and others, 2019).
Starting with the lidar-based source digital elevation model (DEM) for the study area, we converted the GeoTIFF file to a raster grid in ArcGIS (version 10.4.1) in the study area’s extent (as set in the geoprocessing Environment Settings). The study area boundaries were previously set using a polygon vector layer, a custom boundary that includes the entire Cape Lookout site relevant to the broader research program (see Zeigler and others, 2019 for more details). The study area extent has no further impacts on data contained in the final dataset presented here.
We then resampled the resolution of the DEM (in Esri raster grid format) from 1 m to 5 m using the Resample tool in ArcToolbox version 10.4.1. In the Resample tool, we employed the bilinear resampling technique, which calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four cells.
In Raster Calculator in ArcToolbox, we subtracted the mean high water (MHW) offset (0.26) for the Cape Lookout study area, as previously determined by Weber and others (2005). This process adjusts the source DEM’s original NAVD88-referenced elevation values so that 0 m elevation is MHW based on regional tidal values. See Weber and others (2005) for additional information.
Finally, we reclassified all NoData cells in the study area to a fill value of ‘9999’. All cells outside the study area were given a NoData value of -9999, and these cells were excluded from all subsequent analyses. The distinction between fill values and NoData values allowed us to include cells with missing values–denoted by fill values–in subsequent analyses. Cells with NoData values were excluded (Zeigler and others, 2019).
No projection transformations were required, because the source DEM was downloaded in NAD83 UTM Zone 18N.
Process_Date: 2017
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: 10979
Column_Count: 11543
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
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: meters
Geodetic_Model:
Horizontal_Datum_Name: North_American_Datum_1983
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.2572221010042
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: Mean High Water tidal datum from Weber and others (2005)
Altitude_Resolution: 0.01
Altitude_Distance_Units: meters
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: CaLo14_ElevMHW.tif
Entity_Type_Definition: Raster geospatial data file.
Entity_Type_Definition_Source: Producer defined
Attribute:
Attribute_Label: Value
Attribute_Definition:
Elevation in meters corrected to the MHW datum published by Weber and others (2005). See Weber and others (2005) for additional information on operational offsets for adjusting elevation values MHW tidal datum relative to NAVD88. Cells within the study area extent that were missing values were given a fill value of ‘9999’. Cells outside the study area extent were given a NoData value of ‘-9999’.
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -6.90003
Range_Domain_Maximum: 10.4053
Overview_Description:
Entity_and_Attribute_Overview:
The raster layer (5x5 m resolution) depicts a given location's elevation above sea-level, corrected for mean high water offset (Weber and others, 2005). This elevation layer is derived from aerial lidar. Please review Zeigler and others (2019) for detailed information. A fill value of ‘9999’ indicates cells within the study area with missing values. A NoData value of '-9999' applies to all cells outside the study area extent. Cells with fill values (9999) were used in subsequent analyses and those with NoData values (-9999) were excluded from analysis (Zeigler and others, 2019).
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 GeoTIFF (CaLo14_ElevMHW.tif) file with a continuous elevation value for each 5x5 m cell. Additionally, the CSDGM FGDC metadata (CaLo14_ElevMHW.tif.xml) and the browse graphic (elev_cei_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, a browse PNG image, and FGDC CSDGM metadata in XML format.
Transfer_Size: 687.7
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
https://www.sciencebase.gov/catalog/item/5daa3750e4b09fd3b0c9ce54
Network_Resource_Name:
https://www.sciencebase.gov/catalog/file/get/5daa3750e4b09fd3b0c9ce54
Network_Resource_Name: https://doi.org/10.5066/P9V7F6UX
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_P9V7F6UX/CaLo14_ElevMHW.tif.html>
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