16 May 2012 DEA Perspective on Oceans and Coastal Research SANCOR presentation 16 May 2012.
Improved monitoring of coastal and open oceans through ...
Transcript of Improved monitoring of coastal and open oceans through ...
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Improved monitoring of coastal and open oceans through polarized Sun and sky glint
characterization
Robert Foster
NOAA/NESDIS CoRP Symposium September 16th, 2015 4:30 pm
NOAA-CREST Optical Remote Sensing Laboratory The City College of New York
160 Convent Ave, New York, NY 10031
Alex Gilerson, Ahmed El-Habashi, Carlos Carrizo, Sam Ahmed
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 2
Outline
• Motivation • Field Measurements • Sun & Sky Glint Characterization • Results & Validation • Summary
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 3
MOTIVATION The increasing demands of ecosystem monitoring require more advanced remote sensing tools.
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 4
Polarimetric Satellite Measurements?
Cnes, D. Ducros POLDER-1,2,3
GLORY
? 3MI
PACE
? NPP VIIRS JPSS-1 VIIRS
JPSS-2 VIIRS
? MODIS AQUA/TERRA
Satellites Designed for Polarimetry
Satellites with Polarization Sensitivity
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 5
Top of Atmosphere Radiance Atmospheric
Scattering
Reflected Sun and Sky Glint
Water Leaving Radiance
White Cap Radiance
Knowing the polarization state at the top of atmosphere is required for both sensitivity analysis and
retrievals.
No polarized atmospheric correction method exists (yet!)
for surface level (ocean) monitoring using polarization.
Need ground-based proof of concept!
(Ship & Shore applications)
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• Radiative transfer calculations that ignore polarization can be in error by several percent.
Advantages of Polarimetric Remote Sensing • Additional optical properties can be retrieved
from polarimetric observations in conjunction with standard unpolarized retrieval methods.
• Polarized light is very sensitive to the microphysics of scatterers in the atmosphere and ocean.
A. Ibrahim Ph.D Thesis, 2015
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 7
A Stokes vector is a mathematical representation of the polarized light field
l
rQ+
l
rQ−
l
rU+
l
rU−
l
rV+
l
rV−
Description of Polarized Light
11 12
21 22
33 34
43 44
0 0I I0 0Q Q
0 0U U0 0V V
M MM M
M MM M
′ ′ = ′ ′
Incident
Mueller Matrices Describe a Change in Polarization State: (Due to scatterers, surfaces, etc)
)arctan(*5.0
222
QUAoLP
IVUQ
DoP
=
++=
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 8
Polarized Glint Correction How do we estimate polarized Remote Sensing Reflectance?
We need to know the full polarization state of the light after interaction with the surface.
Goal: Determine
�̅�
�̅� =
𝜌11 𝜌12 𝜌13 𝜌14 𝜌21 𝜌22 𝜌23 𝜌24 𝜌31 𝜌32 𝜌33 𝜌34 𝜌41 𝜌42 𝜌43 𝜌44
For scalar reflectance: 𝑹𝑹𝑹 = 𝑳�𝒕 − 𝝆 ∙ 𝑳�𝑹 𝑬�𝒅⁄
𝜌 = 𝑓 𝜃𝑠,𝜙𝑠,𝜃𝑣,𝜙𝑣,𝑛(𝜆),Ω𝐹𝐹𝐹 ,𝑤𝑤𝑛𝑤𝑤𝑤𝑤𝑤𝑤, 𝑤𝑠𝑠 𝑤𝑖𝑖𝑖𝑖𝑤𝑛𝑖𝑖𝑤𝑖𝑛
𝜌 estimates how much incident light is reflected
from the surface.
C. Mobley, Appl. Optics, 1999
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FIELD MEASUREMENTS Measurements of the polarized light field above and below the ocean surface.
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Two Cruises in 2014
NOAA VIIRS Cal/Val
July 17th - August 6th
November 11th -20th
Motivation Field Measurements Sun & Sky Glint Characterization Results & Validation Summary 11
Hyperspectral Polarimetric Measurements
HyperSAS-POL
For Above Surface Light Fields Hyperspectral Polarization (350-800nm) Tracks the ship heading and GPS position,
auxiliary ship data streams. Motorized sensor platform maintain ±90°
or ±135° relative azimuth at all times.
For Underwater Light Fields Hyperspectral Polarization Stepper motor for vertical position Thrusters for azimuthal position
In-water Hyperspectral Polarimeter
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SUN AND SKY GLINT CHARACTERIZATION Combining Vector Radiative Transfer Codes with Monte Carlo Simulations
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Polarized Skylight Distribution
Initial Downwelling Skylight Distribution (RayXP)
Surface Reflection
(Monte Carlo)
Wave Shadowing
Atmospheric Conditions: • λ: 440 nm • Rayleigh OT: 0.24282 • Atm Abs: 0.0 • AOT: 0.261779 • SSA: 0.9 • Depol Ratio: 0.0279 • Aerosol Type: Continental
(70% Dust, 29% WS, 1% Soot)
(Gulf of Maine, July 2014)
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Monte Carlo: Surface Generation K= 5 Δ/m
K = 100 Δ/m
Facet Width: 20 cm
Facet Width: 1.0 cm
Surfaces are defined in relative units. Surface Scaling Factor (K, ∆ 𝑖−1 ) relates the surface to absolute distance in meters.
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𝑛𝑏 𝜆 ≈ 1.346664
𝑛𝑎 𝜆 ≈ 1.000277
𝑺𝑹𝑹𝑹𝑹 =
0.5 𝑅∥𝑅∥∗ + 𝑅⊥𝑅⊥∗
0.5 𝑅∥𝑅∥∗ − 𝑅⊥𝑅⊥∗
00
0.5 𝑅∥𝑅∥∗ − 𝑅⊥𝑅⊥∗
0.5 𝑅∥𝑅∥∗ + 𝑅⊥𝑅⊥∗
00
00
ℜ 𝑅∥𝑅⊥∗
−ℑ 𝑅∥𝑅⊥∗
00
ℑ 𝑅∥𝑅⊥∗
ℜ 𝑅∥𝑅⊥∗𝑺𝑹𝒔𝒔 𝑺𝑹𝒔𝒔 =
𝐼𝑠𝑠𝑠𝑄𝑠𝑠𝑠𝑈𝑠𝑠𝑠𝑉𝑠𝑠𝑠
𝑺𝑹𝑹𝑹𝑹 = 𝑓𝑇
0.5 𝑇∥𝑇∥∗ + 𝑇⊥𝑇⊥∗
0.5 𝑇∥𝑇∥∗ − 𝑇⊥𝑇⊥∗
00
0.5 𝑇∥𝑇∥∗ − 𝑇⊥𝑇⊥∗
0.5 𝑇∥𝑇∥∗ + 𝑇⊥𝑇⊥∗
00
00
ℜ 𝑇∥𝑇⊥∗
−ℑ 𝑇∥𝑇⊥∗
00
ℑ 𝑇∥𝑇⊥∗
ℜ 𝑇∥𝑇⊥∗𝑺𝑹𝒔𝒔
𝑅∥ =𝑛𝑏 cos𝜃𝑎 − 𝑛𝑎 cos𝜃𝑏𝑛𝑏 cos𝜃𝑎 + 𝑛𝑎 cos𝜃𝑏
𝑅⊥ =𝑛𝑎 cos𝜃𝑎 − 𝑛𝑏 cos𝜃𝑏𝑛𝑎 cos𝜃𝑎 + 𝑛𝑏 cos𝜃𝑏
𝑇∥ =2𝑛𝑎 cos𝜃𝑎
𝑛𝑏 cos𝜃𝑎 + 𝑛𝑎 cos𝜃𝑏 𝑇⊥ =
2𝑛𝑎 cos𝜃𝑎𝑛𝑎 cos𝜃𝑎 + 𝑛𝑏 cos𝜃𝑏
𝑓𝑇 =𝑛𝑏𝑛𝑎
2 𝑛𝑏 cos𝜃𝑏𝑛𝑎 cos𝜃𝑎
𝜃𝑎 𝜃𝑎
𝜃𝑏
𝑊𝑤𝑛𝑤 𝑆𝑤𝑤𝑤𝑤 = 0 [𝑖 𝑤⁄ ]
Polarized Ray Tracing
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Computing 𝜌�
A weighed mean approach ensures that more intense rays have a greater
influence on �̅�.
Sky locations sampled by a water-looking sensor at 40° from nadir.
𝑇�𝑟,
Windspeed: 2.5 [m/s]
Windspeed: 7.0 [m/s]
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RESULTS & VALIDATION Applying the effective surface reflection matrices to real measurements.
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Effective Surface Reflection Matrix (𝜌�) vs. Solar Zenith, 440 nm, 40° Viewing Zenith, 90° Relative Solar Azimuth
Testing Methodology Aerosol Optical Thickness Measurements
Underwater Polarized Light Field
Total Water Polarized Light
Polarized Sky Light
1m Match with Simulations at 1m depth
RayXP Vector RT Code
(Hyperspectral) Re-simulate just
below the surface
Apply Effective Fresnel Matrices
1
2
3
Zege et, al. 1996
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Flat vs. Windy Surfaces 13:48 UTC, July 30th, 2014.
80 km South-East of Norfolk, VA.
8 [m/s] Wind
0 [m/s] Wind
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Comparison with Underwater Polarimeter 16:37 UTC, July 30th, 2014.
80 km South-East of Norfolk, VA.
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SUMMARY
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Summary • Above surface retrieval of submarine
polarized light field through wind driven sea surfaces is possible.
• The glint correction scheme will facilitate new
polarized above water retrieval algorithms ( Relationship between c/a and DoLP )
• Initial results indicate good agreement between HyperSAS and underwater polarimeter.
A. Ibrahim Ph.D Thesis, 2015
Allows development of new tools for marine
ecosystem monitoring!
Acknowledgements
• The NOAA-CREST Center
• NASA Ocean Color Biology and Biochemistry Program
• Grants of computer time from The City of New York, State of New York, CUNY Research Foundation, and the National Science Foundation