Anaheim Convention Center
Anaheim, California, United States
9 - 13 April 2017
Conference DS109
Ocean Sensing and Monitoring IX
Important
Dates
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Abstract Due:
26 September 2016

Author Notification:
5 December 2016

Manuscript Due Date:
13 March 2017

Conference
Committee
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Conference Chairs
Program Committee
  • Samir Ahmed, The City College of New York (United States)
  • Yi Chao, Seatrec, Inc (United States)
  • Peter C. Chu, Naval Postgraduate School (United States)

Program Committee continued...
Call for
Papers
Open and coastal oceans are key areas to comprehensive understanding of our planet, from large scale events such as El Nino, hurricane formation and tracking, to long term events such as global climate change, to short term weather predictions of both the atmosphere and the ocean. They are also very important in defense and security applications. This conference is intended to cover the R&D efforts in the ocean and lake sensing community to provide better 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 may 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 (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. 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 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. This conference is aimed at bringing together research and technical personnel, from industry, governments, and especially academia, to foster cooperation to increase the utility of operational oceanographic assets to address both oceanographic, as well as defense and homeland security concerns. This conference will benefit from fruitful technical and scientific discussions on these and related topics (esp. focus areas):

In Situ Sensing and Monitoring
  • advancements in instrumentation
  • emerging sensing and monitoring techniques, especially chemical and biological
  • sensors and platforms: ship-based, buoys, observatories, moorings, UUV/gliders
  • real-time observation systems
  • data management
  • hydrographic surveys and ocean mapping
  • harmful algal blooms (HAB), water quality
  • adaptive sampling strategies.


Imaging Sensors, Systems and Signal Processing Techniques
  • underwater EO sensors and systems: gated, modulated, scanned, polarized, 3D, stereo, video
  • acoustical imaging and sonar: synthetic aperture, scanning, 2D and 3D, multibeam, sidescan
  • image processing techniques, compressive sensing, super resolution
  • imaging through air-sea interface
  • effects of particles, turbulence, bubbles, surface and internal waves, salinity and thermal structures.


Characterization and Forecasting of Oceanic and Coastal Environments
  • marine optical properties: particles/chlorophyll/CDOM
  • marine physics: surface and internal waves, currents, tides, small-scale eddies, and turbulence
  • benthic and bathymetric properties
  • surf zones and shallow water optics
  • sediment transport and suspension
  • riverine and lake environment characterization
  • model and data assimilation
  • 3D/4D environmental forecasting, uncertainty assessment
  • data integration and visualization.


Ocean Remote Sensing
  • active and passive remote sensing of the ocean and atmosphere (visible, IR, 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.


Sub-sea Communications
  • sonar techniques and improvements
  • optical communication: directional, flooding, modulation techniques
  • distributed nodes.


Long Endurance Sensing
  • energy harvesting methods
  • disposable sensors; compact sensors for mobile platforms
  • self-calibration techniques; self-cleaning techniques; data storage and transfer.


Ocean Data Management
  • automated systems: buoys, mooring, observatories
  • intelligent and adaptive sampling
  • automated data collection and processing: plans, algorithms, improvements, results
  • system and data calibration, quality control.


Oil Detection and Monitoring/Extreme Events Sensing and Monitoring
  • detection methods of oil spills from space and in situ
  • time series analysis, detection and monitoring from various sensors, instrumentation and platforms
  • assessment of extreme and major events: hurricanes, earthquakes, tsunami, flooding, spillway discharge etc.


Emerging Technologies and Topics
  • renewable energy
  • Arctic exploration and sensing
  • global warming and homeland security
  • climate impacts (hurricanes, long term trends)
  • environmental issues (smog) and impact on satellite remote sensing
  • policies and education programs.
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