Ocean Color Remote Sensing from Space

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Ocean Color Remote Sensing from Space. Lecture in Remote Sensing at 7 May 2007. Astrid Bracher. Room NW1 - U3215 Tel. 8958 bracher@uni-bremen.de www.iup.uni-bremen.de/~bracher. Basic principles of Ocean Color Remote Sensing. (Doerffer et al. 2006). Absorption, Scattering and Beam Attenuation. - PowerPoint PPT Presentation

Transcript of Ocean Color Remote Sensing from Space

Page 1bracher@uni-bremen.de

Ocean Color Remote Sensing from Space

Lecture in Remote Sensing at 7 May 2007

Astrid BracherRoom NW1 - U3215

Tel. 8958bracher@uni-bremen.de

www.iup.uni-bremen.de/~bracher

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Basic principles of Ocean Color Remote Sensing(Doerffer et al. 2006)

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Absorption, Scattering and Beam Attenuation

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Spectral color and wavelength in Nanometer [nm= m-9]

Attenuation by water and water constituents

awas = absorption by waterkwas = attenuation by waterksus = attenuation by suspended

particleskwas = attenuation by phytoplanktonkgelb = attenuation by yellow substance

(dissolved organic matter)

(Modelled with SIRTRAM by Doerffer 1992)

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Marine Phytoplankton

Falkowski et al. Science, 2004

Global Contribution:Plant biomass 1-2% Primary production ~50%

Functional Groups:-Build-up of biominerals (e.g. silicate by diatoms) - Calcifiers (e.g. Emiliania)- Cloud formation (via DMSP: Phaeocystis)- Nitrogen-Fixation (blue algae)- Toxic Algae

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Climate Change and Phytoplankton Composition:

Bering Sea: extraordinarily warm

summer 1997– the first time ever bloom of

calcifying algae

True Color from SeaWiFS

(Napp et al. 2001)

Page 7bracher@uni-bremen.de400 450 500 550 600 650

0.05

0.04

0.03

0.02

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0Sp

ec. p

hyt

op

lan

kto

n a

bso

rpti

on

[m

2 /m

g]

MERISSeaWiFS

---- low chl a, mainly Picoplankton

---- diatom bloom

---- Phaeocystis bloom

Bracher & Tilzer 2001

400 450 500 550 600 650 700wavelength [nm]

PhytoplanktonAbsorb light by pigments (chlorophylls, carotenoids,...) Pigments are excited

Excitation energy used in photosynthesis to make O2 & organic compounds

Basis for marine ecosystem and carbon cycle

Phytoplankton absorption

variable among species and

location!

photoacclimation and community composit.

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Downwelling irradiance attenuation coefficient

Green: 5 mg/l Total substanc

Green: 5 mg/l Total substa m-1

Green: 5 mg/l Total Suspended Matter (TSM), 5 µg/l chl a (phytoplankton), yellow substance ag440= 0.4 m-1

Blue: 0.1 µg/m-3 chl a

(Doerffer et al. 2006)

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Signal depth

Coastal waters (= case-2)Blue-green: 5 mg/l TSM, 5 µg/l chl a, ag440= 0.4 m-1

Open Ocean (= case-1)Blue: 0.1 µg/m-3 chl a

z90 = 1/k

(Doerffer et al. 2006)

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Absorption spectra in case 1 waters forwater, yellow substance and phytoplankton

In case-1 waters: attenuation dominated by phytoplankton, ratio of yellow substance conc. to chl a is constant

while it is not for case-2 (=coastal) waters

Empirical Model for phytoplankton biomass from remote sensingfor case-1 waters

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Comparison of ratio of Reflectances (at 445 nm to 555 nm) to phytoplankton biomass (chl a) measurements

Morel & Antoine MERIS ATBD

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MERIS – Median Resolution Imaging Spectrometer- Ocean Color Sensor

Other Ocean Color Sensors: Coastal-Zone-Color-Scanner (1978-1986), SeaWiFS (1997-), Modis (1999- on TERRA, 2002- on AQUA)MOS, POLDER, GLI, OCTS

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MERIS – Median Resolution Imaging Spectrometer- Ocean Color Sensor

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MERIS true color picture:

A large aquamarine-coloured plankton bloom streches across the length of Ireland in the North Atlantic Ocean

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MERIS global chl a (phytoplankton biomass) distribution from algorithm using Rrs[443] / Rrs[560]

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Water leaving Radiance Reflectance Spectra of North Sea water with first 10 MERIS spectral bands

Chl a from ocean color:

Ratio of reflectance at certain wavebands (blue /green)

But: Differences in phyto- plankton absorption

photoacclimation + species composition

Requires higher spectral resolution!

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Global Models on Marine Primary production• Function of fixed organic carbon to biomass (chl a) & light

• Use data of ocean color satellite sensors (MERIS, MODIS, SeaWIFS,…) on chl a, surface water reflectance and light

penetration depth

• Rarely consider spectral dependency of photosynthesis

primary production modeling:Directly affected: light actually absorbed

Indirectly: influences chl a retrieval from ocean color data

Limited data base on specific phytoplankton absorption (in situ measurements)

Phytoplankton absorption and major phytoplankton groups from space using highly spectrally resolved remote sensing data!

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(Scanning Imaging Absorption Spectrometer for Atmospheric Cartography)UV-VIS-NIR spectrometer on Envisat since 2002 in orbit

•8 high resolution and 6 polarization channels •measures transmitted, reflected and scattered sunlight

• wavelength coverage 220 – 2380 nm at 0.24-1.48 nm resolution•global information within 6 days, >30 km X >30 km resolution

Delivers information on:

-distributions of geophysical parameters in atmosphere

from 0-100 km

ozone depletion, greenhouse effect, air

pollution, climate change

- but now on ocean optics: phytoplankton, vibrational

raman scattering

SCIAMACHY

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Processing of SCIAMACHY nadir spectra with DOASDOAS = Differential Optical Absorption Spectroscopy (Perner and Platt, 1979)Uses differential absorption signal of the molecular absorber in the earthshine spectrum wrt. extraterrestrial

solar irradiance

Ratio Earthshine / Solar irradiance removes instrumental and Fraunhofer features

Input: Absorption cross section for each molecular species in spectral intervalLeast squares fit of DOAS equation based on Beer`s law to observationsSeparation of high- and low frequency absorption features by low order polynomial

Output: Slant column density SCD = number of molecules along average photon path

Op

tica

l de

pth

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Phytoplankton absorption from hyperspectral sensor SCIAMACHY

Differential phytoplankton absorption at high chl a

Clear differential signal from phytoplankton pigments!

--- reference spectrum from in-situ meas. of mixed population (by Bracher & Tilzer 2001)__ DOAS-fit with SCIAMACHY meas.

DOAS fit from 430 to 500 nm - included in analysis: O3, NO2, H2O (both vapor and liquid), Ring and differential

phytoplankton absorption spectrum measured in situ

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DOAS fit of phytoplankton pigment absorption

in vivo Phytoplankton Absorption

Specific In vivo reference spectra yield much better fits than chl a

Clear differential signal from phytoplankton pigments!

Chl a Standard Absorption

(mixed population, dominated by <20µm)

from Bracher and Tilzer 2001

from 430 to 500 nm

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Global Phytoplankton Absorption Fits from SCIAMACHY

http://oceancolor.gsfc.nasa.gov

Compared toMODIS chl a level-3 product

SCIAMACHY DOAS-Fits of phytoplankton absorption

Schl (Fit-Factor)

Monthly Average: 15.Oct-14.Nov 2005

Strong correlation to ocean color chl a !

Schl = slant column of specific phytoplankton absorption

Bracher et al. 2006

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Vibrational Raman Scattering (VRS) from SCIAMACHY

Vountas et al. submitted to Ocean SciencesHigh sensititvity of VRS fitat low chl a

Averages over July 2005

--- model__ SCIA meas.

VRS always accompanied by an elastic scattering process

Proxy for light penetration depth (δ) (transformation to λ of phytoplankton absorption fit)

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Phytoplankton biomass from Ocean colorSCIAMACHY chl a conc. c

First SCIAMACHY phytoplankton biomass determined with DOAS (whole spectrum fit) shows good visual agreement to MERIS

algal-1 chl a product

http://www.enviport.org/merisVountas et al. submitted

from DOAS-Fits of phytopl. absorption (mixed community) and VRS: C = Schl / δ

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Ocean Color Satellite Information