Sara L. Zeigler
Emily J. Sturdivant
Benjamin T. Gutierrez
20191220
Development: Development delineation: Cape Hatteras, NC, 2014
1.0
vector digital dataset
data release
DOI:10.5066/P9V7F6UX
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
https://doi.org/10.5066/P9V7F6UX
https://www.sciencebase.gov/catalog/item/5daa375ce4b09fd3b0c9ce61
Emily J. Sturdivant
Sara L. Zeigler
Benjamin T. Gutierrez
Kathryn M. Weber
2019
Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014
1.0
data release
DOI:10.5066/P9V7F6UX
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—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.
https://doi.org/10.5066/P9V7F6UX
https://www.sciencebase.gov/catalog/item/5d5ece47e4b01d82ce961e36
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 vector layer delineates areas of human development. Polygons were hand-digitized from 0.35-m aerial imagery captured in 2014 and outline areas of general human development (for example, buildings, residential development, paved roads) as well as coastal armoring (for example, jetties and groins). The data were used in vector format during a supervised land cover classification and converted to raster format to be merged with other land cover sub-classifications, producing the supervised classification raster layer (caha14_SupClass.tif in larger work).
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 (Zeigler and others, 2019).
For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019).
20140101
20140421
Ground condition measured by source data.
None planned
-75.98974145
-75.46004517
35.77428938
35.09778821
USGS Metadata Identifier
USGS:5daa375ce4b09fd3b0c9ce61
None
Barrier Island
USGS
CMHRP
Geographic Information Systems
GIS
U.S. Geological Survey
Coastal and Marine Hazards and Resources Program
Woods Hole Coastal and Marine Science Center
St. Petersburg Coastal and Marine Science Center
Coastal Hazards
Coastal Habitat
Cape Hatteras
Cape Hatteras National Seashore
Human Development
Coastal Armoring
ISO 19115 Topic Category
environment
USGS Thesaurus
geospatial datasets
land use and land cover
None
North Carolina
NC
Ocracoke Island
Cape Hatteras
North America
United States
USA
Atlantic Ocean
Cape Hatteras National Seashore
None. Please see 'Distribution Info' for 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.
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/5daa375ce4b09fd3b0c9ce61/?name=Devel_rock_browse.png
Example polygons of human development. Bottom left panel shows moderate development and bottom right shows heavy development. This example is for Rockaway Peninsula, NY and does not represent this dataset.
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
This vector layer depicts hand-digitized areas of human development. It was produced manually based on visual inspection of orthoimagery. The polygons may include undeveloped areas that are completely surrounded by development because these areas could not be accessed by a piping plover chick. The data were reviewed using standard USGS review procedures. No checks for topological consistency were performed on these data.
This dataset contains all human development within a custom boundary, to the best of our knowledge based on visual inspection of orthoimagery. This dataset may not include the entire spatial extent of the original source dataset as it was published in original form. However, the custom boundary spans the entire coverage of the 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.
The horizontal accuracy of the vector layer inherits the accuracy of the orthoimagery from which it was derived (see source contribution information).
This dataset was derived through manual digitization based on visual interpretation of aerial imagery. Some error is intrinsic in the manual process. We estimate the accuracy of this development raster to be within 5 m horizontally. No formal accuracy assessments have been conducted.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
20150501
2014 NOAA Ortho-rectified Mosaic of Hurricane Sandy Coastal Impact Area
remote-sensing image
Silver Spring, MD
NOAA's Ocean Service, National Geodetic Survey (NGS)
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4885
https://coast.noaa.gov/htdata/raster1/imagery/Sandy_2014_4885
https://coast.noaa.gov/dataviewer
https://inport.nmfs.noaa.gov/inport/item/48588
digital data
20140101
20140421
ground condition
Orthoimage
Visual imagery used for digitizing shorefront development. Source data were distributed at 0.35 m pixel resolution, in horizontal datum NAD83. Downloaded on 2/21/2017. Data were projected to UTM Zone 18N (EPSG:26918) using the ‘Project Raster’ tool in ArcToolbox (version 10.4.1).
In Edit sessions of ArcGIS version 10.4.1, Sara L. Zeigler manually outlined areas that were anthropogenic development in the orthoimage. The features considered development included buildings and other man-made structures, paved roads, groins, jetties, and seawalls. Undeveloped areas that were completely surrounded by development were included in development polygons, based on the rationale that these areas could not be accessed by a piping plover chick.
2017
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
Vector
G-polygon
3
Universal Transverse Mercator
18
0.9996
-75
0.0
500000.0
0.0
coordinate pair
0.6096
0.6096
meters
North_American_Datum_1983
GRS_1980
6378137.0
298.257222101
Attribute Table
Table containing attribute information associated with the dataset.
Producer defined
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Id
Extra field for use during conversion to raster.
Producer defined
1
Development present
Producer defined
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 are available as an Esri shapefile (caha14_Development.shp and associated shapefile components). Additionally, the CSDGM FGDC metadata (caha14_Development.shp.xml) and the browse graphic (devel_rock_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.
Shapefile
ArcGIS 10.4
Esri polygon shapefile
These files (.dbf, .prj, .sbn, .sbx, .shp, .shp.xml, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC compliant metadata.
0.08
https://www.sciencebase.gov/catalog/item/5daa375ce4b09fd3b0c9ce61
https://www.sciencebase.gov/catalog/file/get/5daa375ce4b09fd3b0c9ce61
https://doi.org/10.5066/P9V7F6UX
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 shapefile format, or GIS software capable of utilizing web mapping or feature services.
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