Continued Development of the Look-up-table (LUT) Methodology for Interpretation of Remotely Sensed Ocean Color Data

The overall goal of this work is to refine and validate a spectrum-matching and look-up-table LUT technique for rapidly inverting remotely sensed hyperspectral reflectances to extract environmental information such as water-column optical properties, bathymetry, and bottom classification. My colleagues and I are developing and evaluating a new technique for the extraction of environmental information including water-column inherent optical properties IOPs and shallowwater bathymetry and bottom classification from remotely-sensed hyperspectral ocean-color spectra. We address the need for rapid, automated interpretation of hyperspectral imagery. The research issues center on development and evaluation of spectrum-matching algorithms, including the generation of confidence metrics for the retrieved information.