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Marine Optical Buoy (MOBY): Support for Ocean Color Sensor Vicarious Calibration. Presented by Menghua Wang. Requirement, Science, and Benefit. Requirement/Objective Ecosystems Protect, restore and manage the use of coastal and ocean resources through ecosystem-based management - PowerPoint PPT Presentation
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Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010
Image:
MODIS Land Group,
NASA GSFC
March 2000
Image:
MODIS Land Group,
NASA GSFC
March 2000
Presented by
Menghua WangPresented by
Menghua Wang
Marine Optical Buoy (MOBY): Support for Ocean Color Sensor
Vicarious Calibration
Marine Optical Buoy (MOBY): Support for Ocean Color Sensor
Vicarious Calibration
22 Center for Satellite Applications and Research (STAR) Review
09 – 11 March 2010 Center for Satellite Applications and Research (STAR) Review
09 – 11 March 2010
Requirement, Science, and BenefitRequirement, Science, and Benefit
Requirement/Objective• Ecosystems
– Protect, restore and manage the use of coastal and ocean resources through ecosystem-based management
• Healthy and productive coastal and marine ecosystems that benefit society• Advancing understanding of ecosystems to improve resource management• A well informed public that acts as a steward of coastal and marine ecosystems
• Weather and Water– Serve society’s needs for weather and water information
• Better, quicker, and more valuable weather and water information to support improved decisions• Increase lead time and accuracy for weather and water warnings and forecasts• Improve predictability of the onset, duration, and impact of hazardous and high-impact severe
weather and water events
Science• How to provide accurate water optical, biological, and biogeochemical property data
in coastal and inland regions from satellite measurements?
Benefit• Protect and monitor our ocean resource• Improve water resources forecasting capabilities• Protect and monitor water resources• Understand the effect of environmental factors on human health and well-being
33 Center for Satellite Applications and Research (STAR) Review
09 – 11 March 2010 Center for Satellite Applications and Research (STAR) Review
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Satellite Ocean Color Remote SensingSatellite Ocean Color Remote Sensing
10-2
10-1
400 500 600 700 800 900
Case 1, C = 0.1 mg/m3
Case 2, Sediment DominatedCase 2, Yellow Substance
Wavelength (nm)
TO
A R
efle
cta
nce
t(
)
(a)
M80 model, a(865) = 0.1
= 60o, = 45o, = 90o
0
10
20
30
40
50
400 500 600 700 800 900
Case 1, C = 0.1 mg/m3
Case-2, Sediment DominatedCase-2, Yellow Substance
Wavelength (nm)
% o
f TO
A t w
()
M80 model, a(865) = 0.1
= 60o, = 45o, = 90o
Ocean Color Remote Sensing: Derive the ocean water-leaving radiance spectra by accurately removing the atmospheric and surface effects.
Ocean properties can then be derived from the ocean water-leaving radiance spectra.
At satellite altitude usually ~90% of sensor-measured signal over ocean comes from the atmosphere & surface
– It is crucial to have accurate atmospheric correction and sensor calibration.
– 0.5% error in the TOA radiance corresponds to possible of ~5% in the derived ocean water-leaving radiance.
– We need ~0.1% sensor calibration accuracy.
– On-orbit vicarious calibration is necessary.
Ocean Color Remote Sensing: Derive the ocean water-leaving radiance spectra by accurately removing the atmospheric and surface effects.
Ocean properties can then be derived from the ocean water-leaving radiance spectra.
At satellite altitude usually ~90% of sensor-measured signal over ocean comes from the atmosphere & surface
– It is crucial to have accurate atmospheric correction and sensor calibration.
– 0.5% error in the TOA radiance corresponds to possible of ~5% in the derived ocean water-leaving radiance.
– We need ~0.1% sensor calibration accuracy.
– On-orbit vicarious calibration is necessary.
44 Center for Satellite Applications and Research (STAR) Review
09 – 11 March 2010 Center for Satellite Applications and Research (STAR) Review
09 – 11 March 2010
Lunar Calibration for Characterization of Sensor Degradation
Lunar Calibration for Characterization of Sensor Degradation
SeaWiFS Looks at the Moon
Sensor Degradation
SeaWiFSSea-Viewing Wide-Field-of-view Sensor
From http://oceancolor.gsfc.nasa.gov
55 Center for Satellite Applications and Research (STAR) Review
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On-Orbit Vicarious CalibrationOn-Orbit Vicarious Calibration
For ocean color remote sensing, post-launch vicarious calibration is necessary for visible bands.
Vicarious Calibration: Calibration of whole system: Sensor + Algorithms– Account for (by direct measurement or prediction) all of the components of the
TOA radiance and
– Compare the results with the sensor-measured radiance.
Sensor-measured reflectance: t(meas) = [1 + a()] t a()--Calibration error
After vicarious calibration: t(V) = [1 + a’()] t a’()--Calibration error
It is found (Wang and Gordon, 2002) that a’() depends only on the longest wavelength of a() (e.g., 865 nm, a()).
Thus, a’() for the visible bands can be significantly reduced after on-orbit vicarious calibration.
Wang, M. and H. R. Gordon, “Calibration of ocean color scanners: How much error is acceptable in the near-infrared,” Remote Sens. Environ., 82, 497-504, 2002.
66 Center for Satellite Applications and Research (STAR) Review
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Simulation Results with Vicarious Calibration
Simulation Results with Vicarious Calibration
0.01
0.1
1
400 500 600 700 800 900
a(865) = -15 a(865) = -10 a(865) = -5 a(865) = +5 a(865) = +10 a(865) = +15
( / 865)4
( / 865)3
Ra
tio a
'()
/ a
'(8
65
) (a
fte
r V
C)
Wavelength (nm)
a = 0.05
True aerosol is O99 O99 used for VC
(b)
After VC, calibration errors a’() for the visible bands are significantly reduced.
a’()= a()
Inverse of Rayleigh Scattering
77 Center for Satellite Applications and Research (STAR) Review
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Vicarious Calibration Requires Accurate Water-leaving Radiance Measurements
Vicarious Calibration Requires Accurate Water-leaving Radiance Measurements
Sensor-measured TOA Reflectance (or Radiance):
t = r + a + ra + twc + tw
Computed (Rayleigh)
Computed (Whitecap)
Predicted using models (Aerosols)
Measured at vicarious calibration site, e.g., MOBY
It has been demonstrated that VC is necessary for producing accurate satellite ocean color products.
Post-launch vicarious calibration has been carried out for SeaWiFS and MODIS, and will also be carried out for the MERIS.
We are currently working on implementing the vicarious calibration method for routinely deriving the gains for the MODIS-Aqua data products.
88 Center for Satellite Applications and Research (STAR) Review
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Marine Optical Buoy (MOBY)-VC Facility for Ocean Color Sensor
Marine Optical Buoy (MOBY)-VC Facility for Ocean Color Sensor
From D. Clark
99 Center for Satellite Applications and Research (STAR) Review
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09 – 11 March 2010
Radiance Time Series for MODIS Ocean Color Bands
Radiance Time Series for MODIS Ocean Color Bands
From D. Clark
1010 Center for Satellite Applications and Research (STAR) Review
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NOAA Support MOBY OperationNOAA Support MOBY Operation
MOBY data have been used for vicarious calibration of ocean color satellite sensors SeaWiFS and MODIS, as well as in support for calibration for various other international ocean color sensors.
SeaWiFS and MODIS-Aqua have been producing high quality global open ocean color products.
MOBY data will be needed in support for the on-orbit vicarious calibration for NPOESS/VIIRS for generating global ocean color products.
NOAA will need to build End-to-End ocean color data processing capability, including sensor calibration capability using MOBY data.
MOBY data have been used for vicarious calibration of ocean color satellite sensors SeaWiFS and MODIS, as well as in support for calibration for various other international ocean color sensors.
SeaWiFS and MODIS-Aqua have been producing high quality global open ocean color products.
MOBY data will be needed in support for the on-orbit vicarious calibration for NPOESS/VIIRS for generating global ocean color products.
NOAA will need to build End-to-End ocean color data processing capability, including sensor calibration capability using MOBY data.
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Challenges and Path ForwardChallenges and Path Forward
• Science challenges– Providing accurate and consistent in situ data
measurements for calibration and validation of ocean color products.
• Next steps– Develop next generation instrument (new MOBY)
for satellite sensors calibration.
• Transition Path– Development of techniques for routine calibration
applications for ocean color satellite sensors (both US and international).
• Science challenges– Providing accurate and consistent in situ data
measurements for calibration and validation of ocean color products.
• Next steps– Develop next generation instrument (new MOBY)
for satellite sensors calibration.
• Transition Path– Development of techniques for routine calibration
applications for ocean color satellite sensors (both US and international).