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Post-Hurricane Katrina coastal oblique aerial photographs collected from Panama City, Florida, to Lakeshore, Mississippi, and the Chandeleur Islands, Louisiana, August 31, 2005

Metadata Updated: July 6, 2024

The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On August 31, 2005, the USGS conducted an oblique aerial photographic survey from Panama City, Florida, to Lakeshore, Mississippi, and the Chandeleur Islands, Louisiana, aboard a Piper Navajo Chieftain aircraft at an altitude of 500 feet (ft) and approximately 1,000 ft offshore (figure 2, http://pubs.usgs.gov/ds/1033/html/ds1033_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and nearshore area since the last survey, flown in July 2001 (http://cmgds.marine.usgs.gov/fan_info.php?fan=01ACH02) (unpublished), and the data can be used to assess future coastal change.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 an estimate of the position of the aircraft and do not indicate the location of the feature in the images (See the Navigation Data page, http://pubs.usgs.gov/ds/1033/html/ds1033_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 photo: 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/1033/html/ds1033_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 aid navigation of the Google Earth file. These numbers correspond to the site labels in Google Earth.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/dcec497c2e5a3892e1e08d32ff7b0a87
Identifier USGS:7aeb338f-bf8d-4c67-a87d-71feaaaaf9a6
Data Last Modified 20201013
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id ca08e09d-0523-434c-82cc-410d293ebdb7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -89.444,29.77257,-84.877,30.68301
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash c30c90e2b0b239a5be5a05bac4a4efb95c057e1543b0c8e7e01c996d0be0f67b
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -89.444, 29.77257, -89.444, 30.68301, -84.877, 30.68301, -84.877, 29.77257, -89.444, 29.77257}

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