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 (Morgan, 2009). On September 5-6, 2014, the USGS conducted an oblique aerial photographic survey from Key Largo, Florida, to the Florida/Georgia border (Figure 1), aboard a Cessna 182 at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown October 1998, and the data can be used in the assessment of future coastal change.
The photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
Table 1 provides detailed information about the GPS location, image name, date, and time of each of the 3,892 photographs taken along with links to each 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. These KML files can be found in the kml folder.
