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ARGUS Aerial Reconnaissance for Ghost-Net Understanding and SalvageEach year, 114,640 additional pounds of nets accumulate in the Northwestern Hawaiian Islands. These “ghost” nets are typically lost fishing nets that have devastating impacts on marine life and ecosystems, catching onto reefs and killing animals who become entangled. Ghost nets can also end up wound around ship propellers, which can damage mechanical operations and endanger the crew.

Current removal efforts have difficulty locating ghost nets, often relying on limited- accuracy satellite data, buoys that may drift away from the net, and human divers. Once underwater, ghost nets can become almost indistinguishable from coral reefs, making them challenging to identify from satellite imagery alone. To address this challenge, our proposed solution is Aerial Reconnaissance for Ghost-Net Understanding and Salvage (ARGUS) that utilizes Uncrewed Aircraft Systems (UAS) equipped with specialized sensors and AI analysis to identify ghost nets and alert cleanup organizations.

Using satellite imagery, our system targets ocean areas in the Northwestern Hawaiian Islands with historical ghost net activity and plastic pollution. Ground control deploys scout UAVs that fly a surveying pattern and scan the ocean using Red, Green, Blue (RGB) and Near-Infrared (NIR) sensors to flag potential ghost nets. Confirmation UAVs equipped with Short-Wave Infrared (SWIR) sensors then fly to the flagged areas, verify that the targets are ghost nets, and send coordinate and video data back to ground control for additional verification if necessary. Finally, local marine debris cleanup organizations are notified of the ghost net locations and go out to remove them.

By continuously circling the net as it moves and sending live coordinates, ARGUS’s confirmation UAVs allow for targeted, efficient net removal, reducing diver and crew search time. As a result, ARGUS can lead to healthier habitat and aquatic conditions for marine life, as well as safer voyages for ships.
Document ID
20260008873
Acquisition Source
Ames Research Center
Document Type
Technical Memorandum (TM)
Authors
Shashwat Balamurali
(Lambert High School)
Zainab Ghalyan
(Wayne Hills High School)
Kyan Huynh
(Liberty Sr High School)
Nikhil Kalyanam
(Prospect High School)
Aarav Kashyap
(Bellarmine College Prepatory)
Sophia Lu
(Lake Oswego High School)
Date Acquired
September 14, 2026
Publication Date
September 25, 2026
Publication Information
Publisher: National Aeronautics and Space Administration
Subject Category
Air Transportation and Safety
Report/Patent Number
NASA/TM-20260008873
Funding Number(s)
WBS: 981698.01.04.21.06
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
UAS application, ghost nets
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