Meghan Salmon

Abstract

Derivative analysis of the major spectral components that combine to produce water color (water itself, chlorophyll, sediment, and organic matter) can be used to create algorithms for quantifying the water columnar constituents. The algorithms based upon this method of feature extraction will be more accurate and robust than traditional algorithms. This was done in a forward analysis manner, basing the research on the absorption spectra of the constituents. The spectral modeling completed indicates that derivative analysis can be used to estimate constituent concentration. Results indicate that the effectiveness of this method varies for different constituents. Previous work has focused on reflectance spectra. By using absorption spectra, this research offers a new approach (forward-ended) to the problem. The results indicate that this approach deserves more attention in future research.

Publication Date

2000

Document Type

Thesis

Advisor

Not listed.

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014. senior project.

Campus

RIT – Main Campus

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