Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments

About 30 years ago, NASA launched the first ocean-color observing satellite:the Coastal Zone Color Scanner. CZCS had 5 bands in the visible-infrared domain with anobjective to detect changes of phytoplankton (measured by concentration of chlorophyll) inthe oceans. Twenty years later, for the same ob...

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Main Authors: MingXia He, Robert Arnone, Kendall Carder, ZhongPing Lee
Format: Article
Language:English
Published: MDPI AG 2007-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/7/12/3428/
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author MingXia He
Robert Arnone
Kendall Carder
ZhongPing Lee
author_facet MingXia He
Robert Arnone
Kendall Carder
ZhongPing Lee
author_sort MingXia He
collection DOAJ
description About 30 years ago, NASA launched the first ocean-color observing satellite:the Coastal Zone Color Scanner. CZCS had 5 bands in the visible-infrared domain with anobjective to detect changes of phytoplankton (measured by concentration of chlorophyll) inthe oceans. Twenty years later, for the same objective but with advanced technology, theSea-viewing Wide Field-of-view Sensor (SeaWiFS, 7 bands), the Moderate-ResolutionImaging Spectrometer (MODIS, 8 bands), and the Medium Resolution ImagingSpectrometer (MERIS, 12 bands) were launched. The selection of the number of bands andtheir positions was based on experimental and theoretical results achieved before thedesign of these satellite sensors. Recently, Lee and Carder (2002) demonstrated that foradequate derivation of major properties (phytoplankton biomass, colored dissolved organicmatter, suspended sediments, and bottom properties) in both oceanic and coastalenvironments from observation of water color, it is better for a sensor to have ~15 bands inthe 400 – 800 nm range. In that study, however, it did not provide detailed analysesregarding the spectral locations of the 15 bands. Here, from nearly 400 hyperspectral (~ 3-nm resolution) measurements of remote-sensing reflectance (a measure of water color)taken in both coastal and oceanic waters covering both optically deep and optically shallowwaters, first- and second-order derivatives were calculated after interpolating themeasurements to 1-nm resolution. From these derivatives, the frequency of zero values foreach wavelength was accounted for, and the distribution spectrum of such frequencies wasobtained. Furthermore, the wavelengths that have the highest appearance of zeros wereidentified. Because these spectral locations indicate extrema (a local maximum orminimum) of the reflectance spectrum or inflections of the spectral curvature, placing the bands of a sensor at these wavelengths maximizes the potential of capturing (and then restoring) the spectral curve, and thus maximizes the potential of accurately deriving properties of the water column and/or bottom of various aquatic environments with a multi-band sensor.
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spelling doaj.art-5f36f04d95fc413aac709e476e8b99342022-12-22T03:59:29ZengMDPI AGSensors1424-82202007-12-017123428344110.3390/s7123428Determination of Primary Spectral Bands for Remote Sensing of Aquatic EnvironmentsMingXia HeRobert ArnoneKendall CarderZhongPing LeeAbout 30 years ago, NASA launched the first ocean-color observing satellite:the Coastal Zone Color Scanner. CZCS had 5 bands in the visible-infrared domain with anobjective to detect changes of phytoplankton (measured by concentration of chlorophyll) inthe oceans. Twenty years later, for the same objective but with advanced technology, theSea-viewing Wide Field-of-view Sensor (SeaWiFS, 7 bands), the Moderate-ResolutionImaging Spectrometer (MODIS, 8 bands), and the Medium Resolution ImagingSpectrometer (MERIS, 12 bands) were launched. The selection of the number of bands andtheir positions was based on experimental and theoretical results achieved before thedesign of these satellite sensors. Recently, Lee and Carder (2002) demonstrated that foradequate derivation of major properties (phytoplankton biomass, colored dissolved organicmatter, suspended sediments, and bottom properties) in both oceanic and coastalenvironments from observation of water color, it is better for a sensor to have ~15 bands inthe 400 – 800 nm range. In that study, however, it did not provide detailed analysesregarding the spectral locations of the 15 bands. Here, from nearly 400 hyperspectral (~ 3-nm resolution) measurements of remote-sensing reflectance (a measure of water color)taken in both coastal and oceanic waters covering both optically deep and optically shallowwaters, first- and second-order derivatives were calculated after interpolating themeasurements to 1-nm resolution. From these derivatives, the frequency of zero values foreach wavelength was accounted for, and the distribution spectrum of such frequencies wasobtained. Furthermore, the wavelengths that have the highest appearance of zeros wereidentified. Because these spectral locations indicate extrema (a local maximum orminimum) of the reflectance spectrum or inflections of the spectral curvature, placing the bands of a sensor at these wavelengths maximizes the potential of capturing (and then restoring) the spectral curve, and thus maximizes the potential of accurately deriving properties of the water column and/or bottom of various aquatic environments with a multi-band sensor.http://www.mdpi.com/1424-8220/7/12/3428/Ocean-color remote sensingspectral bands
spellingShingle MingXia He
Robert Arnone
Kendall Carder
ZhongPing Lee
Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
Sensors
Ocean-color remote sensing
spectral bands
title Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
title_full Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
title_fullStr Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
title_full_unstemmed Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
title_short Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments
title_sort determination of primary spectral bands for remote sensing of aquatic environments
topic Ocean-color remote sensing
spectral bands
url http://www.mdpi.com/1424-8220/7/12/3428/
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AT kendallcarder determinationofprimaryspectralbandsforremotesensingofaquaticenvironments
AT zhongpinglee determinationofprimaryspectralbandsforremotesensingofaquaticenvironments