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spectral band characterization for hyperspectral monitoring of water qualityA method for selecting the set of spectral characteristics that provides the smallest increase in prediction error is of interest to those using hyperspectral imaging (HSI) to monitor water quality. The spectral characteristics of interest to these applications are spectral bandwidth and location. Three water quality constituents of interest that are detectable via remote sensing are chlorophyll (CHL), total suspended solids (TSS), and colored dissolved organic matter (CDOM). Hyperspectral data provides a rich source of information regarding the content and composition of these materials, but often provides more data than an analyst can manage. This study addresses the spectral characteristics need for water quality monitoring for two reasons. First, determination of the greatest contribution of these spectral characteristics would greatly improve computational ease and efficiency. Second, understanding the spectral capabilities of different spectral resolutions and specific regions is an essential part of future system development and characterization. As new systems are developed and tested, water quality managers will be asked to determine sensor specifications that provide the most accurate and efficient water quality measurements. We address these issues using data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and a set of models to predict constituent concentrations.
Document ID
Document Type
Conference Paper
Vermillion, Stephanie C.
(Eastman Kodak Co. Rochester, NY United States)
Raqueno, Rolando
(Rochester Inst. of Tech. NY United States)
Simmons, Rulon
(Eastman Kodak Co. Rochester, NY United States)
Date Acquired
August 20, 2013
Publication Date
December 1, 2001
Publication Information
Publication: Proceedings of the Tenth JPL Airborne Earth Science Workshop
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
Distribution Limits
Work of the US Gov. Public Use Permitted.

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IDRelationTitle20020045138Analytic PrimaryProceedings of the Tenth JPL Airborne Earth Science Workshop
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