2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from...
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2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute
2 Remote sensing applications in Oceanography: How much we can
see using ocean color? Adapted from lectures by: Martin A Montes
Rutgers University Institute of Marine and Coastal Sciences
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3 Main topics Introduction: definitions, sensor characteristics
Model development: IOPs, AOPs, Forward and Inversion approach
Applications: chl, phytoplankton size structure
Slide 4
4 Ocean color sensors Definition: Types: Passive vs Active
Sensor characteristics: swath, footprint, revisiting time, spectral
resolution
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5 Ocean color sensors: characteristics First sensors: B&W
Temporal resolution: revisiting time? Spectral resolution: number
of channels?, bandwidth?
Slide 6
Differences between measuring SST and ocean color: Infrared
radiometers (like AVHRR) measure radiation emitted from the ocean
surface Assumes ocean is like a black-body emitter with T B related
to actual temperature Measures skin temperature only Ocean color
sensors do not measure emission they measure reflectance How do we
know were measuring reflectance, not emission?
Slide 7
Emission by the Earth in the visible is zero. Reflectance of
the ocean in the thermal infrared is almost zero Reflectance of the
ocean is not only a skin phenomenon. Its signal is more complex
because the optical depth is much greater and depends on
wavelength.
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Ocean color sensors: characteristics
http://www.ioccg.org/reports_ioccg.html
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Ocean color sensors: characteristics
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10 Ocean color sensors: characteristics
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Hyperion hyperspectral sensor on EO-1 220 channels
Slide 12
12 Inherent and Apparent Optical properties IOPs: not
influenced by the light field (e.g., absorption coefficients) AOPs:
influenced by the light field (e.g., reflectance,
backscattering)
14 Forward vs. Inversion models Forward: IOPs R rs (Hydrolight
or non-commercial code) Given what we know is in the water, what do
we expect it to look like? Inversion: R rs (Empirical, analytical,
statistical) Given what we see, what can we tell about what is in
the water? IOPs
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Rrs(412)/Rrs(555) band ratio yields a reasonably consistent
relationship with in situ observations of CDOM absorption across
several regions in the Mid-Atlantic continental shelf Can also
derive empirical relationship between backscatter and particulate
matter in the water. This allows estimation, by satelite, or
Particulate Organic Carbon (POC) in the ocean.
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CZCS image of the Gulf Stream obtained on April 1, 1982,
showing a prominent warm-core ring.
http://disc.sci.gsfc.nasa.gov/oceancolor/additional/science-focus/classic_scenes
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24 MODIS Sea Surface Temperature, 2000 December 6, 17:05 and
MODIS Surface Chlorophyll Concentration