OD009
New information systems tools for implementing autonomous multi-source, multi-point observing systems
Session ID#: 84492
Session Description:
An exciting array of new and emerging space-borne and in-situ observing technologies are coming to the ocean science community, including, inter alia, autonomous surface and underwater vehicles, ocean observing CubeSats, and next-generation large satellite missions. The true power behind the proliferation of these new platforms and tools for remote and in-situ ocean measurements lies in integrating them into observing systems that can predict and then act to observe transient or temporary phenomena, and that are flexible and autonomous in their control and data acquisition and processing. This session aims to:
1. Identify new methods and techniques for autonomously processing communicating, and acting on information from observing systems with different instruments at different vantage points, e.g., combinations of traditional and small-satellite observations, UAVs/AUVs, moored instrumentation, etc.
2. Facilitate cross-disciplinary discussion and collaboration between practitioners and technologists in the ocean science community, and
3. Identify the gaps and needs in the ocean science community for advanced information systems technologies to advance flexible, autonomous observing systems.
The session chairs welcome any submission related to technology development or needs in areas such as machine learning and other advanced processing techniques, real- or near real-time processing and telemetry, goal- or prediction-directed autonomy, dynamic inter-calibration, evaluation/comparison of alternative observing strategies, network communications etc. Data science abstracts (e.g., machine learning, artificial intelligence, computational techniques) are welcome, but should contribute to implementing autonomous multi-source, multi-point observing systems rather than post-collection data analysis or fusion.
Index Terms:
1940 Machine-to-machine communication [INFORMATICS]
1942 Machine learning [INFORMATICS]
1968 Scientific reasoning/inference [INFORMATICS]
1972 Sensor web [INFORMATICS]
Primary Chair: Ian G Brosnan, NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States
Co-chairs: Wu-Jung Lee, Applied Physics Laboratory University of Washington, Acoustics Department, Seattle, WA, United States, Laura Rogers, NASA Langley Research Center, Hampton, VA, United States and Robert Heitsenrether, NOAA Chesapeake, Chesapeake, VA, United States
Primary Liaison: Ian G Brosnan, NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States
Closing the Loop on Sensor-Based Autonomy for Swarms of Underwater Robots (642973)
Jeff Kaeli1, Erin Fischell1, Amy Kukulya1 and Glen Gawarkiewicz2, (1)Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, MA, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, MA, United States
A submesoscale cyclonic eddy observed with autonomous vehicles in synergy with ship and satellite measurements (645457)
Adriana M Santos Ferreira1, José C. B. da Silva2, Renato Mendes3,4 and Joao Tasso Borges de Sousa1, (1)University of Porto, LSTS, Department of Electrical and Computer Engineering, School of Engineering (FEUP), Porto, Portugal, (2)University of Porto, Department of Geosciences, Environment and Spatial Planning (DGAOT) & CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, Porto, Portugal, (3)Universidade do Porto, CIIMAR (Interdisciplinary Centre of Marine and Environmental Research), Porto, Portugal, (4)University of Aveiro, CESAM (Centre for Environmental and Marine Studies), Aveiro, Portugal
QARTOD - Prospects for Real-Time Quality Control Manuals, How to Create Them, and a Vision for Advanced Implementation (648398)
Mark Bushnell, CoastalObsTechServices, Virginia Beach, VA, United States, Kathleen Bailey, U.S. Integrated Ocean Observing System, Silver Spring, MD, United States, Julie A Bosch, NOAA / NCEI, Stennis Space Center, United States, Eugene F Burger, NOAA, Boulder, CO, United States, Jennifer Dorton, SECOORA, Wilmington, NC, United States, Robert Heitsenrether, NOAA Chesapeake, Chesapeake, VA, United States, Jeff King, USACE, Washington, United States, Shannon McArthur, National Data Buoy Center, Stennis Space Center, MS, United States, Mario Tamburri, University of Maryland (UMCES CBL), Solomons, MD, United States, Julie Thomas, UCSD/SIO/IOD, La Jolla, CA, United States and Christoph Waldmann, MARUM - University of Bremen, Bremen, Germany
A Flexible, Automated, Processing and Decision System to Support Ocean Color Satellite Vicarious Calibration Using Hyperspectral Radiometric Instrumentation on Autonomous Profiling Floats. (648539)
Andrew Barnard, SEA-BIRD SCIENTIFIC, Bellevue, WA, United States, Emmanuel Boss, University of Maine, Orono, ME, United States, Robert Frouin, University of California San Diego, La Jolla, CA, United States and Matthew R Mazloff, SIO, La Jolla, CA, United States
Adaptive Sampling of Dynamic Processes in Coastal Areas and Fjords using AUVs (650645)
Trygve Olav Fossum1, Øystein Sture2, Ingrid Ellingsen3, Martin Syre Wiig4 and Martin Ludvisen1, (1)Norwegian University of Science and Technology (NTNU), Department of Marine Technology, Centre of Autonomous Marine Operations and Systemt (AMOS), Trondheim, Norway, (2)Norwegian University of Science and Technology (NTNU), Department of Marine Technology, Trondheim, Norway, (3)SINTEF Ocean, Trondheim, Norway, (4)Norwegian Defence Research Establishment (FFI), Norway
Cross-Domain command and communications synergies towards more effective cooperative missions (652956)
Paulo Dias1, Michael Incze2, Keila Lima1, Maria Costa1, Manuel Ribeiro1, Joao Tasso Borges de Sousa1, Joshua Baghdady3, Ben Jones3, Noah Hafner3, A. Zachary Trimble4, Raymond Andrade4 and Margo Edwards3, (1)University of Porto, LSTS, Department of Electrical and Computer Engineering, School of Engineering (FEUP), Porto, Portugal, (2)Naval Undersea Warfare Center, Division Newport, Newport, RI, United States, (3)University of Hawai'i, Applied Research Laboratory, Honolulu, HI, United States, (4)University of Hawai'i at Mānoa, RIP Laboratory, Department of Mechanical Engineering, Honolulu, HI, United States
SUBMARINE VOLCANO-HYDROTHERMAL SYSTEMS AND THEIR IMPACTS ON THE OVERLYING OCEAN: QUANTIFICATION OF ERUPTING MID-OCEAN RIDGE VOLCANOES - A GENERATIONAL GOAL (654656)
John R Delaney1, Dana Manalang2, Deborah S Kelley3, Kendra L Daly4, Douglas S Luther5, William S D Wilcock1 and Edward T Baker6, (1)University of Washington, School of Oceanography, Seattle, WA, United States, (2)University of Washington, Applied Physics Lab, Seattle, WA, United States, (3)University of Washington Seattle Campus, School of Oceanography, Seattle, WA, United States, (4)University of South Florida, College of Marine Science, St. Petersburg, FL, United States, (5)Univ Hawaii Manoa, Honolulu, HI, United States, (6)NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States
Complementary Ocean Data Collection using Heterogeneous Sensor Platforms (654846)
Tore Mo-Bjørkelund1, Petter Norgren1, Trygve Olav Fossum2 and Martin Ludvisen2,3, (1)Norwegian University of Science and Technology, Department of Marine Technology, Trondheim, Norway, (2)Norwegian University of Science and Technology (NTNU), Department of Marine Technology, Centre of Autonomous Marine Operations and Systemt (AMOS), Trondheim, Norway, (3)University Centre in Svalbard, Department of Arctic Technology, Longyearbyen, Norway
Near Real-time Coral Reef Monitoring Using AI Based Environmental Information Synthesizer (655272)
Madison Soden1, Xaymara Serrano2, James Cass Hendee3, Jocelyn Karazsia4 and Lewis J Gramer1, (1)Cooperative Institute for Marine and Atmospheric Studies Miami, Miami, FL, United States, (2)US Army Corps of Engineers, FL, United States, (3)Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States, (4)NOAA, FL, United States
Autonomous underwater vehicle-based adaptive sensing of natural oil seeps (656415)
Erin Fischell1, Daniel Gomez-Ibanez2, Kevin DuCharme3, Lisa Dipinto4, Robyn N Conmy5 and Amy Kukulya1, (1)Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, MA, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (3)Woods Hole Oceanographic Institution, Applied Ocean Physics and Engineering, Woods Hole, United States, (4)NOAA National Ocean Service, Office of Response and Restoration, Silver Spring, United States, (5)U.S. Environmental Protection Agency, United States
Near-real-time reporting of the oceanic turbulent response to atmospheric forcing from unmanned autonomous vehicles (657065)
Justin Shapiro, Applied Physics Laboratory University of Washington, Seattle, WA, United States, Louis C St. Laurent, Applied Physics Laboratory University of Washington, Seattle, United States, Sophia Merrifield, Massachusetts Institute of Technology, Cambridge, MA, United States and Joel Hazard, University of California San Diego, La Jolla, CA, United States
Autonomous Path Planning to Optimally Harvest Dynamic Fields (657800)
Manan Doshi1, Manmeet Bhabra2 and Pierre F J Lermusiaux1, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Mechanical Engineering, Cambridge, MA, United States
