Open and coastal oceans, including littoral zone, are key areas to comprehensive understanding and prediction of long and short term climates, assessment of resources and environments, as well as defense and security applications. This conference is intended to cover the R&D efforts in the ocean and littoral sensing community to provide better tools, planning and solutions to the overall science, industry, as well as defense and security market by addressing current technology and environmental limitations, system decision, and implementation issues, as well as new technology that could be applied to ocean sensing problems. Specifically, these include topics associated with in situ and remote monitoring of the ocean surface, water column, deep sea, bathymetric and benthic features, impacts on sensor performance and calibration, data assimilation, and forecasting.

Traditional ocean research techniques are widely augmented today with in situ sampling packages on moorings, buoys, floats, flow-through systems, mobile platforms (UAVs, gliders, AUVs and ROVs), integrated sensor networks, and observatories. These are vibrant research and development areas and generate the most accurate data available, 3D, often in real-time, and are less affected by adverse conditions. However, spot sampling lacks the rapid, broad coverage that is critical in high-level real-time tactical decision making. In situ observations at times are not available for unsafe or denied-access environments. Remote sensing techniques (both active and passive) have been proven to offer synoptic surface coverage with adequate accuracy, when sensors are calibrated and validated correctly. The session will address calibration and validation of ocean sensors for both in situ and satellite monitoring. It is essential to establish and maintain precise protocols for deciding the appropriate mix and application of different sensor systems in order to maintain data coherence and comparability. It is equally important to understand how the ocean environment affects sensor performance, and what techniques are being developed to enhance sensor performance in challenging ocean environments. Further, modern defense and security needs demand that accurate information be provided when and where it is needed. Ocean sensing must provide not only timely and accurate data, but also offer insights regarding overall 3D and future environmental conditions, i.e. forecasting. The combined use of in situ observations, remotely sensed data and physical models is a rapidly evolving field, although improved assimilation of available data into models still poses a challenge. The ability to sense, integrate, and predict is vital in establishing a true real-time 4D cube of verified and validated information for ocean nowcast and forecast. Cutting edge development from other disciplines including robotics, artificial intelligence, quantum computing, communication are of special interests to this conference. We aim to bring together research and technical personnel, as well as managers from industry, governments, and academia, to foster cooperation to reduce the gap between legacy ocean sensing techniques and breakthroughs in other disciplines.

A BEST PAPER AWARD will be given based on votes from committee members, at the conclusion of the sessions.

In summary, this conference will focus on addressing recent changes related to the hydrosphere where oceans, lakes and rivers interconnect, as well as new methods and sensors used to characterize water quality and harmful events, amongst technical and scientific discussions on these and related topics listed below.

Smart Sensing (AI/machine learning) and Smart Sensors Unmanned Systems Sensing: UAV (aerial) & UUV (underwater) Ocean Remote Sensing: Lidar, Ocean Color, SST, SAR In Situ Sensing and Monitoring Sensing, Communications, and Signal Processing Characterization and Forecasting of Oceanic, and Coastal Environments ;
In progress – view active session
Conference SI216

Ocean Sensing and Monitoring XIV

This conference has an open call for papers:
Abstract Due: 6 October 2021
Author Notification: 3 December 2021
Manuscript Due: 9 March 2022
Open and coastal oceans, including littoral zone, are key areas to comprehensive understanding and prediction of long and short term climates, assessment of resources and environments, as well as defense and security applications. This conference is intended to cover the R&D efforts in the ocean and littoral sensing community to provide better tools, planning and solutions to the overall science, industry, as well as defense and security market by addressing current technology and environmental limitations, system decision, and implementation issues, as well as new technology that could be applied to ocean sensing problems. Specifically, these include topics associated with in situ and remote monitoring of the ocean surface, water column, deep sea, bathymetric and benthic features, impacts on sensor performance and calibration, data assimilation, and forecasting.

Traditional ocean research techniques are widely augmented today with in situ sampling packages on moorings, buoys, floats, flow-through systems, mobile platforms (UAVs, gliders, AUVs and ROVs), integrated sensor networks, and observatories. These are vibrant research and development areas and generate the most accurate data available, 3D, often in real-time, and are less affected by adverse conditions. However, spot sampling lacks the rapid, broad coverage that is critical in high-level real-time tactical decision making. In situ observations at times are not available for unsafe or denied-access environments. Remote sensing techniques (both active and passive) have been proven to offer synoptic surface coverage with adequate accuracy, when sensors are calibrated and validated correctly. The session will address calibration and validation of ocean sensors for both in situ and satellite monitoring. It is essential to establish and maintain precise protocols for deciding the appropriate mix and application of different sensor systems in order to maintain data coherence and comparability. It is equally important to understand how the ocean environment affects sensor performance, and what techniques are being developed to enhance sensor performance in challenging ocean environments. Further, modern defense and security needs demand that accurate information be provided when and where it is needed. Ocean sensing must provide not only timely and accurate data, but also offer insights regarding overall 3D and future environmental conditions, i.e. forecasting. The combined use of in situ observations, remotely sensed data and physical models is a rapidly evolving field, although improved assimilation of available data into models still poses a challenge. The ability to sense, integrate, and predict is vital in establishing a true real-time 4D cube of verified and validated information for ocean nowcast and forecast. Cutting edge development from other disciplines including robotics, artificial intelligence, quantum computing, communication are of special interests to this conference. We aim to bring together research and technical personnel, as well as managers from industry, governments, and academia, to foster cooperation to reduce the gap between legacy ocean sensing techniques and breakthroughs in other disciplines.

A BEST PAPER AWARD will be given based on votes from committee members, at the conclusion of the sessions.

In summary, this conference will focus on addressing recent changes related to the hydrosphere where oceans, lakes and rivers interconnect, as well as new methods and sensors used to characterize water quality and harmful events, amongst technical and scientific discussions on these and related topics listed below.

Smart Sensing (AI/machine learning) and Smart Sensors
  • Design concepts and solutions to ocean sensing issues
  • Embedded real-time sensors
  • Compact, passive/active sensors; compressive sensing
  • In-stride processing, real-time multi-view/multi-sensor fusion.
Unmanned Systems Sensing: UAV (aerial) & UUV (underwater)
  • drone-based sensing applications, sensors and algorithms
  • underwater unmanned platforms (gliders, AUVs, ROVs), sensors and applications
  • novel concepts on hybrid platforms, endurance, stealth and SWaP improvements
  • advancements in platform (eg UAV, glider, ROV, AUV), payload and data collection
  • novel concepts from any disciplines that could be applied in ocean sensing
  • COTS integration for real world sensing applications.
Ocean Remote Sensing: Lidar, Ocean Color, SST, SAR
  • active and passive remote sensing of the ocean and atmosphere (visible, IR/SST, microwave/SAR)
  • inversion techniques for active and passive measurements
  • calibration and characterization of satellite sensors
  • cloud screening and effect of ambient/residual cloud on retrievals
  • Cal/Val, quality control and consistency checks of satellite products, inter-sensor comparisons
  • uncertainty evaluation
  • radiative transfer in the ocean and atmosphere.
In Situ Sensing and Monitoring
  • advancements in instrumentation
  • novel underwater navigation solutions
  • emerging sensing and monitoring techniques, especially chemical and biological
  • sensors and platforms: ship-based, buoys, observatories, moorings, UUV/gliders
  • real-time observation systems
  • hydrographic surveys and ocean mapping
  • adaptive sampling strategies
  • data management: automated data collection, reduction and quality control.
Sensing, Communications, and Signal Processing
  • underwater EO sensors & systems: gated, modulated, scanned, polarized, 3D, stereo, video
  • Wireless communications and networks (Acoustic, Optical, EM)
  • novel imaging sensors
  • acoustical imaging & sonar: synthetic aperture, scanning, 2D & 3D, multibeam, sidescan
  • image processing techniques, compressive sensing, super resolution
  • particle/plankton imaging and identification
  • imaging through air-sea interface
  • effects of particles, turbulence, bubbles, surface & internal waves, salinity and thermal structures.
Characterization and Forecasting of Oceanic, and Coastal Environments
  • surface and internal waves, currents, tides, small-scale eddies, and turbulence
  • coastal ocean observation, modeling, data assimilation and predictions
  • benthic and bathymetric properties; sediment transport and suspension
  • model and data assimilation; uncertainty assessment.
Conference Chair
ONR Global (Singapore)
Conference Chair
Naval Air Warfare Ctr. Aircraft Div. (United States)
Conference Co-Chair
National Oceanic and Atmospheric Administration (United States)
Conference Co-Chair
Yoko Furukawa
Bureau of Ocean Energy Management (United States)
Program Committee
Harris Corp. (United States)
Program Committee
Naval Air Systems Command (United States)
Program Committee
Naval Information Warfare Ctr. Pacific (United States)
Program Committee
U.S. Naval Research Lab. (United States)
Additional Information