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  • 8/14/2019 Helen Final Presentation

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    Application of satellite derivedApplication of satellite derivedretrievals of ocean colour to theretrievals of ocean colour to the

    MODIS ASTER Airborne Simulator

    Helen Thomas

    Student Airborne Research Program, 2009

    A study over Monterey Bay,A study over Monterey Bay,

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    OverviewWhy monitoring ocean colour properties (in particular,algal blooms) is important

    Methods used to monitor blooms

    Why Remote sensing methods are important!

    Algorithms to retrieve Chlorophyll

    Results

    Conclusions - algorithm functionality and usefulness ofmethods

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    Why study algal blooms?

    Red tide bloom ofNoctiluca scintillans in NewZealand

    Source:http://serc.carleton.edu/images/microbelife/t

    Phytoplankton:

    Base of the oceanic food chain

    Are major producers of oxygen

    Can affect the atmosphere by

    production of DMS

    Harmful Algal Blooms -

    production of toxins and oxygen

    depletion

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    Methods

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    ObjectivesMASTER = MODIS/ASTERSimulator

    Comparisons Are

    Important!

    1. Compare MASTER andMODIS Satellite data within situ data

    2. Apply satellite derivedChlorophyll a algorithms toMASTER

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    Theoretical BasisFluorescence line height

    Letelier and Abbott (1996)

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    Theoretical BasisFluorescence line height

    Letelier and Abbott (1996)

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    Theoretical BasisFluorescence line height

    Letelier and Abbott (1996)

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    Theoretical BasisFluorescence line height

    Fails under LowChlorophyll

    conditions.

    C

    A

    F

    FLH = Lc-(Lf+((La-

    Letelier and Abbott (1996)

    But might work

    in highchlorophyll

    5 6 7

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    Results

    BoatChlorophyll

    MASTER FLH MASTER FLH

    1. Fluorescence Line Height

    FLH = Lc-(Lf+((La-Lf)*y/(x+y)))

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    Results2. SeaWIFS OC2v4

    R=log10(R490/R555) or log10(R490/R565)

    Chl_oc2 = 10^(a0 + a1*R+a2*R^2+a3*R^3) +

    BoatChlorophyll

    MASTERChloro.

    MASTERChloro.

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    Results3. SeaWIFS OC4

    R=log10(R443/R551) or log10(R488/R551)

    Chl_oc4 =10^(a0 + a1*R +

    BoatChlorophyll

    MASTERChloro.

    MASTERChloro.

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    Results4. MODIS Chl_a

    R=R443/R555 or R490/R555

    Chl_a = 1o^(a0 +a1*R+a2*R^2+a3*R^3 +

    BoatChlorophyll

    MASTER

    Chloro.

    MASTERChloro.

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    Results5. Polder Chl_a

    R=log10(R490/R555)

    Polder_chl = 10^(a0+a1*R+a2*R^2+a3*R^3)

    BoatChlorophyll

    MASTERChloro.

    MASTERChloro.

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    ResultsMODIS Time Series for July 2009

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    ResultsMODIS Chl -a MODIS FLH

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    Results BoatChlorophyll

    MODIS Chl -a

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    Results BoatChlorophyll

    MODIS FLH

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    IssuesTime lag

    Spatial Scales

    Interferences

    Algorithms

    Band Locations

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    ConclusionsMASTER Bands are poorly positioned to retrieveFLH and Chlorophyll-a (in this case)

    MODIS Chlorophyll-a retrieval reveals little in thiscase

    MODIS FLH corresponds well to boat chlorophyllestimates

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    Acknowledgements