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

摘要

The overall goal of this work is to refine and validate a spectrum- matching and look-up-table (LUT) technique for rapidly and accurately 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 new techniques for the extraction of environmental information including water-column inherent optical properties (IOPs), shallow-water 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. Dr. Curtis D. Mobley at Sequoia Scientific, Inc., is leading this effort and he is the author of this report.