Hyperspectral Remote Sensing of the Coastal Ocean: Adaptive Sampling and Forecasting of In situ Optical Properties
نویسندگان
چکیده
We are developing an integrated rapid environmental assessment capability that will be used to feed an ocean nowcast/forecast system. The goal is to develop a capacity for predicting the dynamics in inherent optical properties in coastal waters. This is being accomplished by developing an integrated observation system that is coupled to a data assimilative hydrodynamic bio-optical ecosystem model. The system will be used to develop hyperspectral remote sensing techniques for optically complex nearshore coastal waters in support of the development and validation of the Navy Earth Map Observer (NEMO) satellite system.
منابع مشابه
Hyperspectral Remote Sensing of the Coastal Ocean: Adaptive Sampling and Forecasting of Near-Shore In Situ Optical Properties
Water clarity is a key parameter of coastal ecology, as well as being important to some near-shore Naval operations. The clarity of the water column depends upon the depth-dependent distribution of the inherent optical properties and the geometric structure of the light field (an apparent optical property). Our long-term goal is to develop the remote sensing techniques, data analysis, and model...
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