Automated High-Resolution Tracking of Sea Ice Extent Offshore Oliktok Point, Alaska, using Distributed Acoustic Sensing and Machine Learning .
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DAS records a variety of signals, including (1) earthquakes and volcanic eruptions, (2) explosions (DAG, mining, etc.), (3) acoustic waves, (4) ocean (waves, whales), (5) vehicle, ship and pedestrian traffic, (6) glaciology and landslides, and (7) oil and gas. Main questions include: (1) what is the extent of the signal content? (2) how does DAS compare to traditional sensors? (3) how do interrogators, fiber types, and fiber depth burials impact measurements? (4) special applications offshore to overcome the lack of instrumentation.
Abstract not provided.
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1. Purpose: This will be presented at the 2025 SSA meeting. 2. Peer Review: Internal Peer Review not required. Talk is informational displaying published findings and datasets. 3. HQ review: This is being sent to HQ for review.
Poster for the 2025 SSA Conference
Poster to be presented at the Institute of Nuclear Material Management Annual Meeting 2025 in Washington, DC. This item does not require internal peer review. This item has been send to HQ for review.
16th International Conference on Greenhouse Gas Technologies (GHGT-16), Lyon, France, October 23-27, 2022