Marine Mapping and Monitoring Using Autonomous Underwater Vehicles (AUVs)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 23286
Special Issue Editors
Interests: image analysis; pattern recognition; machine learning; seafloor observation; high-performance computing; Autonomous Underwater Vehicles
Special Issue Information
Dear Colleagues,
Autonomous Underwater Vehicles (AUVs) can now provide an unprecedented increase in both resolution and seafloor coverage available for marine research. AUVs can cover large distances at high speeds or maneuver in complex terrain, and their low altitude above the seafloor enables data resolutions orders of magnitudes higher than ship-based sensors have been able to provide. Their ability to automatically map contiguous areas of interest, as well as to explore unknown territory using a range of survey approaches increases the cost-efficiency of ocean science. AUVs are also robust platforms for a variety of imaging sensors, like cameras and echosounders, as well as traditional ocean science gear like CTDs. More recent developments are incorporating novel technologies such as eDNA samplers or artificial intelligence for adaptive mission planning, increasing further the versatility of these platforms.
This Special Issue focuses on two aspects of AUVs. First are applications of these versatile platforms for mapping and monitoring the seafloor. This includes, amongst others, biological, geological, archaeological and infrastructure surveying tasks. The second focus is on the AUV platform itself: its efficient deployment to solve specific mapping or monitoring tasks, its evolving capabilities regarding sensor payload, its expected progress from the automated, (in essence pre-programmed), execution of a task towards true autonomy.
Dr. Timm Schoening
Dr. Katleen Robert
Guest Editors
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Keywords
- Autonomous Underwater Vehicles
- seafloor mapping
- marine monitoring
- echosounders
- cameras
- true autonomy
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