OD42A:
New Information Systems Tools for Implementing Autonomous Multisource, Multipoint Observing Systems I

Session ID#: 92508

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.
Co-Sponsor(s):
  • ME - Marine Ecology and Biodiversity
  • OB - Ocean Biology and Biogeochemistry
  • PS - Physical Oceanography: Mesoscale and Smaller
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
Moderators:  Laura Rogers, NASA Langley Research Center, Hampton, VA, United States and Wu-Jung Lee, Applied Physics Laboratory University of Washington, Acoustics Department, Seattle, WA, United States
Student Paper Review Liaison:  Wu-Jung Lee, Applied Physics Laboratory University of Washington, Acoustics Department, Seattle, WA, United States

Abstracts Submitted to this Session:

OD42A-01
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, 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, United States, (5)Univ Hawaii Manoa, Honolulu, HI, United States, (6)NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States
OD42A-02
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
OD42A-03
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, United States, Louis C St. Laurent, Applied Physics Laboratory University of Washington, Seattle, United States, Sophia Merrifield, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States and Joel Hazard, University of California San Diego, La Jolla, CA, United States
OD42A-04
Autonomous underwater vehicle-based adaptive sensing of natural oil seeps (656415)
Erin Fischell, Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, MA, United States, Daniel Gomez-Ibanez, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Kevin DuCharme, Woods Hole Oceanographic Institution, Applied Ocean Physics and Engineering, Woods Hole, United States, Lisa Dipinto, NOAA National Ocean Service, Office of Response and Restoration, Silver Spring, United States, Robyn N Conmy, U.S. Environmental Protection Agency, United States and Amy Kukulya, Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, United States
OD42A-05
Closing the Loop on Sensor-Based Autonomy for Swarms of Underwater Robots (642973)
Jeff Kaeli1, Erin Fischell1, Amy Kukulya2 and Glen Gawarkiewicz3, (1)Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, MA, United States, (2)Woods Hole Oceanographic Institution, Applied Ocean Physics & Engineering, Woods Hole, United States, (3)Woods Hole Oceanographic Institution, Woods Hole, MA, United States
OD42A-06
Systems and technologies for multi-domain synoptic ocean observation (650836)
Joao Tasso Borges de Sousa, Universidade do Porto, LSTS, Department of Electrical and Computer Engineering, School of Engineering (FEUP), Porto, Portugal
OD42A-07
Near Real-time Coral Reef Monitoring Using AI Based Environmental Information Synthesizer (655272)
Madison Soden, Cooperative Institute for Marine and Atmospheric Studies Miami, Miami, United States, Xaymara Serrano, US Army Corps of Engineers, FL, United States, James Cass Hendee, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States, Jocelyn Karazsia, NOAA, FL, United States and Lewis J Gramer, Cooperative Institute for Marine and Atmospheric Studies Miami, Miami, FL, United States
OD42A-08
Automatously Sustainable Solution for Big Ocean Science (658088)
Thomas Huang, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
OD42A-09
The NASA Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) requires advanced processing techniques. (655253)
Joseph Salisbury II, University of New Hampshire, Durham, NH, United States and Antonio Mannino, NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, MD, United States
See more of: Ocean Data Management