IS31A:
Advancing Technologies for the Future of Deep-Ocean Exploration I

Session ID#: 93243

Session Description:
Innovations and inventions in deep-sea technologies are being developed and introduced to the oceanographic community at a rapid pace. These advancements are largely enabled by reduced component cost and size/form factor, and increased rapid prototyping capabilities. The human population is 7.65 billion and rising; to ensure a thriving ocean into the future, we must invest in exploration and characterization of deep marine biogeography. Thus, we must open access to the tools of ocean exploration and redefine what it means to be an explorer.

We invite abstracts considering how to leverage new and yet-to-be-invented technologies, as well as training and enabling both experts and citizens to make and analyze discoveries. Emergent themes discussed during this session will include: (1) maximizing efficiency of discovery, especially technologies and methodologies; (2) creating a global community of explorers; and, (3) growing a global culture of exploration. This session will include advancements in bioinspired robotics, imaging, deployment platforms, in situ sensing and sample processing, and other topics to serve the deep-sea community.

A new paradigm for distributed ocean exploration will support SDG 14 and the UN Decade of Ocean Science for Sustainable Development’s vision of a predicted and accessible ocean.

Suggested Scope of Proposals

We expect a broad cross-section of proposals, from technology development aimed at maximizing the efficiency of exploration to capacity building programs for creating a global ocean exploration community to multi-sensory experiences for creating a transparent and accessible ocean. Abstracts that include cross-disciplinary collaboration and proof-of-concept demonstrations from the field are particularly encouraged.

Co-Sponsor(s):
  • OD - Ocean Data Management
  • SI - Social-Ocean Science Interactions and SDGs
Index Terms:
Primary Chair:  Katherine Lynn Croff Bell, Massachusetts Institute of Technology, Media Lab, Cambridge, MA, United States
Co-chairs:  Brennan Phillips, University of Rhode Island, Narragansett, RI, United States, Kakani Katija, Monterey Bay Aquarium Research Institute, Moss Landing, CA, United States and Randi Rotjan, Boston University, Boston, MA, United States
Primary Liaison:  Katherine Lynn Croff Bell, Massachusetts Institute of Technology, Media Lab, Cambridge, MA, United States
Moderators:  Katherine Lynn Croff Bell, Ocean Exploration Trust, Narragansett, RI, United States and Kakani Katija, Monterey Bay Aquarium Research Institute, Moss Landing, CA, United States
Student Paper Review Liaison:  Katherine Lynn Croff Bell, Ocean Exploration Trust, Narragansett, RI, United States

Abstracts Submitted to this Session:

Evaluating Planning and Remote Science Operations for Ocean Exploration Using Exploration Ground Data Systems (xGDS) (657878)
David Lees1, Tamar Cohen2, Matthew C Deans2 and Darlene Sze Shien Lim2, (1)Carnegie Mellon University Silicon Valley, Moffett Park, CA, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States
The MiniROV: A Multidisciplinary Research and Development Tool for Deep-Sea Exploration (655450)
Alana Sherman1, Kakani Katija1, Michael Risi1, Stephen Rock2, Paul Roberts1 and Dale Graves1, (1)Monterey Bay Aquarium Research Institute, Moss Landing, CA, United States, (2)Stanford University, Aeronautics and Astronautics, Stanford, CA, United States
UVP6: a new low power, low cost and deep ocean rated imaging sensor for automatic quantification of particles and plankton from autonomous platforms (645064)
Marc Picheral1, Emna Abidi2, François Berry3, Jerome Coindat4, Denis Brousseau5, Fabio Dias6, Sylvain Fevre7, Lionel Guidi8, Jean Olivier Irisson9, Louis Legendre8, Fabien Lombard9, Antoine Manzanera10, Laurent Mortier11, Laurent Navarro12, Laura Picheral1, Lars Stemmann8, Simon Thibault5 and Thierry Tixier13, (1)Laboratoire d’Océanographie de Villefranche (LOV), UMR 7093, Sorbonne Université, Villefranche-sur-Mer, France, (2)Laboratoire d'Océanographie de Villefranche (LOV), UMR 7093, Sorbonne Université, Villefranche sur mer, France, (3)Institut Pascal - UCA CNRS, Aubiere, France, (4)Hydroptic, L'isle Jourdain, France, (5)Université Laval, Center for Optics, Photonics and Lasers, Laval, QC, Canada, (6)WISIP, Clermont Ferrand, France, (7)HYDROPTIC, L'Isle Jourdain, France, (8)Laboratoire d’Océanographie de Villefranche (LOV), UMR 7093, Sorbonne Université, Villefranche sur mer, France, (9)Laboratoire d'Océanographie de Villefranche (LOV), UMR 7093, Sorbonne Université, Villefranche-sur-Mer, France, (10)ENSTA Paris, Institut Polytechnique de Paris, Palaiseau, France, (11)ENSTA-ParisTech, Palaiseau, France, (12)ALTIDEV, Plaisance du Touch, France, (13)WISIP, Clermont-Ferrand, France
Deep sea biodiversity hotspots: Time series image data acquisition from challenging ecosystems with affordable open source hardware and software. (636079)
Autun Purser1, Ulrich Hoge2, Johannes Lemburg2, Frank Wenzhofer3, Simon Dreutter4, Boris Dorschel2, Yasemin Bodur4, Elena Schiller4, Jens Greinert5 and Thomas Soltwedel6, (1)Alfred-Wegener-Institute Helmholtz-Centrum for Polar and Marine Research, Germany, (2)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany, (3)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, HGF-MPG Group for Deep Sea Ecology and Technology, Bremerhaven, Germany, (4)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Germany, (5)GEOMAR Helmholtz Centre for Ocean Research Kiel, Marine Geosystems - DeepSea Monitoring, Kiel, Germany, (6)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany
What’s Out There? Recovering Underwater Scenes Using Computer Vision (653177)
Tali Treibitz1, Deborah Levy1, Yuval Goldfracht1, Naama Pearl1 and Derya Akkaynak2, (1)University of Haifa, Charney School Of Marine Sciences, Department of Marine Technologies, Haifa, Israel, (2)Harbor Branch Oceanographic Institution, Florida Atlantic University, Ft. Pierce, United States
Towards an open, underwater image repository (FathomNet) for automated detection and classification of midwater and benthic targets using machine learning (652650)
Kakani Katija1, Benjamin Woodward2,3, Brian Schlining4, Lonny Lundsten1, Kevin Barnard5,6 and Katherine Lynn Croff Bell7, (1)Monterey Bay Aquarium Research Institute, Moss Landing, CA, United States, (2)CVision AI, Medford, United States, (3)CVision AI Inc, Medford, MA, United States, (4)Monterey Bay Aquarium Research Institute, Moss Landing, United States, (5)Colorado School of Mines, Golden, United States, (6)Monterey Bay Aquarium Research Institute, Moss Landing, MA, United States, (7)Ocean Exploration Trust, Narragansett, RI, United States
My Deep Sea, My Backyard: Building Deep Sea Capacity in Big Ocean Developing States (653736)
Katherine Lynn Croff Bell, Massachusetts Institute of Technology, Media Lab, Cambridge, MA, United States, Randi Rotjan, Boston University, Boston, MA, United States, Diva Amon, Natural History Museum, London, United Kingdom, Brian Kennedy, Boston University, Boston, United States, Brennan Phillips, University of Rhode Island, Narragansett, RI, United States and Alan Turchik, National Geographic Society, Exploration Technology Lab, Washington, DC, United States
Drawing the Ocean Closer: How Deep-Ocean Dropcams and an Art-Integrated Exploration Approach Provide Windows and Mirrors into the Deep Sea (648990)
Jonatha Giddens1, Alan Turchik1, Alan Friedlander2, Brad Henning1, Whitney Goodell1, Benjamin Woodward3, Leigh Marsh4, Brian Tate5, Eric Berkenpas6, Charles Shepard6 and Jessica Elfadl1, (1)National Geographic Society, Exploration Technology Lab, Washington, DC, United States, (2)National Geographic Society, Pristine Seas, United States, (3)CVision AI, Medford, United States, (4)University of Southampton, Southampton, United Kingdom, (5)CVision AI, United States, (6)Second Star Robotics, United States