Winter 2016, part B: Coastal oblique aerial photographs collected from Assateague Island, Virginia, to Montauk Point, New York, March 8-9, 2016

The U.S. Geological Survey (USGS) conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On March 8-9, 2016, the USGS conducted an oblique aerial photographic survey from Assateague Island, Virginia, to Montauk Point, New York, aboard a Cessna 182 aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (fig. 2, http://pubs.usgs.gov/ds/1030/html/ds1030_fig2.html). This mission was conducted to collect data for assessing incremental changes in the beach and nearshore area since the last survey, flown in October 2015 (http://cmgds.marine.usgs.gov/fan_info.php?fan=2015-338-FA) (Morgan, 2016, [https://doi.org/10.3133/ds995]), and the data can be used to assess future coastal change. The photographs provided are Joint Photographic Experts Group (JPEG) images. The photograph locations are estimates of the aircraft’s positions and do not indicate the locations of features in the images (See the Navigation Data page, http://pubs.usgs.gov/ds/1030/html/ds1030_nav.html). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. ExifTool was used to add the following to the header of each photograph: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet. All image times are recorded in Coordinated Universal Time (UTC). Table 1 (http://pubs.usgs.gov/ds/1030/html/ds1030_table.html) provides detailed information about the assigned location, name, date, and time the photograph was taken along with links to the photograph. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. Note: A KML number was assigned to each photograph to assist users in navigating the Google Earth file.

                                            [
  "010:12"
]
                                        

                                            {
  "fn": "Karen L.M. Morgan",
  "@type": "vcard:Contact",
  "hasEmail": "mailto:kmorgan@usgs.gov"
}
                                        

                                            [
  {
    "@type": "dcat:Distribution",
    "title": "Digital Data",
    "format": "XML",
    "accessURL": "https://doi.org/10.3133/ds1030",
    "mediaType": "application/http",
    "description": "Landing page for access to the data"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Original Metadata",
    "format": "XML",
    "mediaType": "text/xml",
    "description": "The metadata original format",
    "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5233461b-4bef-48c8-937c-a524d027949a.xml"
  }
]
                                        

                                            [
  "Assateague Island",
  "Barnegat Inlet",
  "Cape Henlopen",
  "Cape May",
  "Chincoteague Island",
  "Chincoteague National Wildlife Refuge",
  "Coastal Aerial Photography",
  "Delaware",
  "Fire Island",
  "March 2016",
  "Maryland",
  "Montauk",
  "National Assessment for Coastal Change Hazards",
  "New Jersey",
  "New York",
  "U.S. Geological Survey",
  "USGS:5233461b-4bef-48c8-937c-a524d027949a",
  "Virginia",
  "Winter 2016",
  "beach erosion",
  "coastline",
  "environment",
  "imageryBaseMapsEarthCover",
  "photographs",
  "structure"
]
                                        

                                            {
  "name": "U.S. Geological Survey",
  "@type": "org:Organization"
}
                                        

                                            [
  "Geospatial"
]