File:Undersea Remote Sensing Research (51842835224).jpg
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Summary
[edit]DescriptionUndersea Remote Sensing Research (51842835224).jpg |
February 23, 2017 Leonardo, NJ Dr. Jay Cho, a BSEE Research Project Manager, inspects acoustic sensors mounted on an Autonomous Underwater Vehicle (AUV). This AUV and its sensor package was tested at Ohmsett to evaluate how this technology could be used for measuring the thickness of oil spills. During a spill, emergency responders want to deploy their recovery equipment to the spill’s thickest patches. BSEE’s Oil Spill Preparedness Division manages research and development projects such as this to provide offshore owners and operators and other stakeholders with new or improved technologies, tools, and tactics to combat oil spills. Photo by: BSEE |
Date | |
Source | Undersea Remote Sensing Research |
Author | Bureau of Safety and Environmental Enforcement BSEE |
Licensing
[edit]Public domainPublic domainfalsefalse |
This image or media file contains material based on a work of a United States Department of the Interior employee, created as part of that person's official duties. As a work of the U.S. federal government, such work is in the public domain in the United States. See the Department of the Interior copyright policy for more information. |
This image, originally posted to Flickr, was reviewed on 11 May 2023 by the administrator or reviewer Abzeronow, who confirmed that it was available on Flickr under the stated license on that date. |
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current | 14:45, 11 May 2023 | 1,336 × 2,005 (1.78 MB) | Geo Swan (talk | contribs) | Transferred from Flickr via #flickr2commons |
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Metadata
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F-number | f/5.6 |
ISO speed rating | 250 |
Date and time of data generation | 10:33, 23 February 2017 |
Lens focal length | 22 mm |
Horizontal resolution | 72 dpi |
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Software used | Adobe Photoshop CC 2015 (Windows) |
File change date and time | 13:59, 23 February 2017 |
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Date and time of digitizing | 10:33, 23 February 2017 |
Meaning of each component |
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DateTime subseconds | 67 |
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Serial number of camera | 4171602326 |
Date metadata was last modified | 08:59, 23 February 2017 |
Rating (out of 5) | 0 |
Unique ID of original document | 3BA0DC5D112DC629BD103307787C505D |
IIM version | 568 |