2016海洋，海冰，海岸水域和大型水地区的遥感国际会议 Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016

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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.

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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
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
multisatellite, sensor integration, georegistration and sensor integration from various platforms
data fusion, optical signature analysis and modeling, hyperspectral imaging and remote sensing
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 coastal regions, lakes and large water region sensing
operational glacier and sea ice monitoring systems and requirements
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 & unmanned) remote sensing missions for observation of oceanic, coastal, sea ice and large water regions, and nearby urban environments; sensor design and calibrations