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Proceedings Paper

Influence of water waves on hyperspectral remote sensing of subsurface water features
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Paper Abstract

Modeled hyperspectral reflectance signatures with water wave influences are simulated using an analytical-based, iterative radiative transport model applicable to shallow or deep waters. Light transport within the water body is simulated using a fast, accurate radiative transfer model that calculates the light distribution in any layered media and incorporates realistic water surfaces which are synthesized using empirically-based spectral models of the water surface to generate water surface wave facets. The model simulated synthetic images are displayed as 24 bit RGB images of the water surface using selected channels from the simulated synthetic hyperspectral image cube. We show selected channels centered at 490, 530 and 676 nm. We also demonstrate the use of the model to show the capability of the sensor and image modeling approach to detect or "recover" known features or targets submerged within or on the shallow water bottom in a tidal inlet area in Indian River Lagoon, Florida. Line targets are simulated in shallow water and indicate the influence of water waves in different water quality conditions. The technique demonstrates a methodology to help to develop remote sensing protocols for shallow water remote sensing as well as to develop information useful for future hyperspectral sensor system developments.

Paper Details

Date Published: 16 November 2004
PDF: 15 pages
Proc. SPIE 5569, Remote Sensing of the Ocean and Sea Ice 2004, (16 November 2004); doi: 10.1117/12.565273
Show Author Affiliations
Charles R. Bostater, Florida Institute of Technology (United States)
Luce Bassetti, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5569:
Remote Sensing of the Ocean and Sea Ice 2004
Charles R. Bostater; Rosalia Santoleri, Editor(s)

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