Hyperspectral Remote Sensing of the Coastal Ocean: Adaptive Sampling and Forecasting of Near-Shore In Situ Optical Properties.

摘要

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 modeling capabilities to nowcast and forecast the 3-dimensional Inherent and Apparent Optical Properties (IOPs and AOPs) of the near-shore coastal environment.