Edinburgh International Conference Centre
Edinburgh, United Kingdom
21 - 24 September 2020
Conference RS102
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2020
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Abstract Due:
1 April 2020

Author Notification:
1 June 2020

Manuscript Due Date:
26 August 2020

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Conference Chairs
Program Committee
Program Committee continued...
Call for
Remote sensing science is one of the most modern approaches for studying oceans, littoral regions, seas and large lakes, as well as sea ice covered regions. An important aspect of remote sensing science is the ability to monitor complex environmental media (air, land, water) and their interfaces (water surface wave, air-sea interaction, water-sediment, and internal interfaces). Understanding complex environmental system phenomena is key to scientific understanding of oceans, littoral zones, estuaries, coastal areas, large lakes, ports and waterways as well as sea ice dynamics since remote sensing data provides valuable monitoring information. This information often serves as input to complex numerical models of environmental systems, such as climate change models, coupled oceanic-atmosphere models at the global (planetary) scale as well as at the mesoscale space and time scales. Remote sensing techniques also provide the most valuable tool set and techniques for monitoring and mapping different bottom features in aquatic systems, such as coral reefs, submerged aquatic vegetation and other "targets" of interest to the oceanographic and aquatic community. Also of interest are robotic and mechatronic platforms for in-situ sensing of interfaces and unique sensing systems & platforms for coastal and ocean monitoring and associated data assimilation into predictive models.

There is a need to improve the accuracy and precision of retrieved geophysical parameters from remote sensing data, and a need to use optical signal processing or filtering of remotely sensed signals from instruments to help improve underwater visibility and atmospheric aerosol influences that affect mapping subsurface water properties, features, and targets. In this context, it is often necessary to integrate data from different sensors as well as to include the knowledge of different disciplines. This is especially important in remote sensing of water quality, submerged aquatic vegetation and coupled ocean-atmosphere models. From a remote sensing point of view, these data are mainly extracted from active or passive sensor systems, and models of complex phenomena are important. Techniques important to the above include radar, acoustic, optical, sensing systems and resulting data and EO sensing of aerosols and turbulence.

With reference to the above, this conference will address the above remote sensing systems and platforms with special emphasis on areas such as:

  • detection of coastal & ocean currents and oceanic frontal features; radar and altimeter uses
  • subsurface sensing using acoustics, optical, laser and magnetic systems, hyperspectral systems
  • ocean sensing techniques and systems including microwave, acoustic and magnetic sensing and EO modeling
  • ocean wave measurement & altimetry as well as coastal imaging systems and analysis including remote sensing of breaking waves, whitecaps, foam, bubbles, and aerosol exchanges
  • use of remote sensing data in global and regional ocean observing platforms
  • use of satellite & airborne data in ocean, coastal & coastal lagoon water quality assessments
  • coastal ocean, estuarine and large lake water-quality monitoring (suspended sediments, dissolved organic matter, phytoplankton pigments and biomass, submerged aquatic vegetation) as well as other bottom feature and target recognition studies
  • oceanic photochemistry and hyperspectral remote sensing; coupled oceanic and mesoscale models at the air-sea boundary, remote sensing input and data assimilation into atmospheric sea breeze models, weather forecasting uses of marine remote sensing data & imagery
  • sensors, imaging and modeling of microwave signatures of ocean and coastal waves and sea ice
  • studies of glaciers, shore-fast ice; polar regions, sea ice prediction monitoring and modeling
  • cubesats, international space station (ISS) and multisatellite sensor configurations, georegistration and sensor integration from various platforms aboard the ISS
  • data fusion, image fusion, deep learning & artificial intelligence, optical signature analysis and modeling, hyperspectral imaging
  • sensor calibrations, airborne sensors & systems and data analysis
  • radar and related active-passive (Raman) sensing theory, applications, systems and techniques
  • regional and global sea and ice monitoring in climate change research, particularly work related to new satellite and suborbital missions with the new SAR instruments designed to investigate continental and marine sea ice thickness change
  • novel use of GNSS signals in large water regions, lakes & coastal regions sensing and deep learning
  • operational glacier, sea ice, ice sheets monitoring and systems (Cryosat, ICEsat, IceBridge, GRACE, IceCube)
  • active and passive remote sensing and techniques for improving underwater imaging for mapping ports, waterways and harbors, and effects of aerosols and turbulence in retrieving geophysical variables
  • airborne (manned, UAV’s, drones) remote sensing missions for observation of oceanic, coastal, sea ice and large water regions, and nearby urban environments; natural disasters; sensor design and calibrations.

  • Note: Special Sessions and Volunteer Session Chair Call:

      (a) Hyperspectral remote sensing, modeling & applications related to breaking waves, foam, whitecaps, bubbles, air-sea gas and aerosol exchange phenomena
      (b) Coupled Ocean-Atmosphere Sea-breeze modeling with satellite & EO data assimilation, weather forecasting and climate change related satellite data use in marine environments
      (c) AI and Deep Learning techniques
      (d) CubeSats, Unmanned Aerial Vehicles or Drones

    Abstracts and papers concerning the above topics and special sessions are invited for review and acceptance for presentation at the conference & publication in the proceedings. Those interested in developing the special session or joint sessions may contact the session chairs, members of the technical committee or contact Charles Bostater at Florida Institute of Technology: bostater@fit.edu.
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