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------=_NextPart_01C60163.764BB160 Content-Location: file:///C:/EB7A1E35/JacqueJacksonRadiometrySURF05_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C60163.764BB160 Content-Location: file:///C:/EB7A1E35/JacqueJacksonRadiometrySURF05_files/slide0004.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" PowerPoint Presentation
Developm= ent of a Spectrally Tunable Source f= or Ocean      Color Applications<= /span>
Jacque D. Jackson
Brigham Young University
Provo, Utah
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Outline
•= Introduction to Ocean Color
–= What do we mean by ocean color <= /div>
–= What does it tell us (why do people want to measur= e it)
–<= /span>Radiometry (How do we measure the color of the ocean):
•= Spectrally Tunable Source
–= Source description (how it works)
–= Characterization and calibration
–= Example spectra : square wave, gaussian, etc <= /span>
–= Example ocean color spectral distributions matched= with the tunable source
•= Future Directions
–
------=_NextPart_01C60163.764BB160 Content-Location: file:///C:/EB7A1E35/JacqueJacksonRadiometrySURF05_files/slide0006.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" PowerPoint Presentation
Ocean Color
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•=  Ocean color is                  = related= to = concent= ration of chlorophyll-a
Ocean Color
Cou= rtesy of SeaWiFS & Orbimage
•=  Chlorophyll-a <= span style=3D'font-family:"Arial Black";font-size:75%;color:#000099'>concent= ration is related to phytoplankton <= span style=3D'font-family:"Arial Black";font-size:75%;color:#000099'>concent= ration
•= Greener= water has more chlorophyll-a and mor= e phytopl= ankton present
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Presentation
Why are we interested in phytoplankton?
Ocean Productivity 
      Health of the ocean, important information for fisheries
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Carbon Cycle
      Enhance our understanding of climate and climate change
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Atmosphere
Atmos= pheric CO2
Anthro= pogenic Effects on Carbon Balance
Land
Oce= ans
Carbon
Carbon
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Beyond color:
we need to consider the spectral distribution &= #13;
of the light leaving the ocean
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file:///C:/EB7A1E35/JacqueJacksonRadiometrySURF05_files/slide0013.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" PowerPoint Presentation
Relate the Radiometry to Biology
Chl-a Concentration
Bio-optical Algorithm
Bio-optical Algorithms
HPLC Da= ta
Spectr= al signature
350          450          550         650         750
Wavelength (nm)
3D"Text
Lw(mW/cm2/sr/nm)
0.0             0.5             1.0             1.5             2.0
0.10
0.8
5.65
12.44
= Chl-a (mg/l)
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Measurements of O= cean Color
•5 % radiometric uncertainty corresponds to a 35 % error in chlorophyll in blue waters
•
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<= span style=3D'font-size:83%;color:#000099;visibility:hidden'>•
Challenging measurements
•On= e of the problems is the different spectral shape between the calibration source and the ocean spectra
•If = we can develop a source that approximates the ocean spectra, we can reduce some of the measurement uncertainty components
•
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Sou= rce Generator
Spe= ctroradiometer
Measured spectrum
Co= mpare with target spectrum
Acquire spectrum of the source.
Target spectrum
Source
Genera= te target spectrum
Tunable Source
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Spectral control based on
dispersed light and a spatial light modulator
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Spatial Modulator:
Digital Micromirr= or Device (DMD)
Tex= as Instruments
Dispersive Element:
Grating
1024
768
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Spectrally Tunable Source
DMD Array
Source and collimator
Cylindrical lenses
slit
Diffraction grating
Spherical mirror
lens
Liquid light guide
Integrating sphere
CAS fiber
Source collimator
Cylindrical lenses
Slit
Diffraction grating
Spherical mirror
Lens
Integrating Sphere
CAS
Liquid light guide
Integrating Sphere
Liquid light guide
CAS fiber