QUANTITATIVE ESTIMATION OF VARIABILITY IN THE UNDERWATER RADIANCE DISTRIBUTION (RADCAM)
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QUANTITATIVE ESTIMATION OF VARIABILITY IN THE UNDERWATER RADIANCE DISTRIBUTION (RADCAM). Marlon R. Lewis, Principal Investigator Scott D. McLean, Co-Investigator Ronnie Van Dommelen, Senior Engineer Jianwei Wei, Ph.D. Student Ruby Quan, Master’s Student Brian Bylhouwer, Undergraduate Student

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QUANTITATIVE ESTIMATION OF VARIABILITY IN THE UNDERWATER RADIANCE DISTRIBUTION (RADCAM)

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Quantitative estimation of variability in the underwater radiance distribution radcam

QUANTITATIVE ESTIMATION OF VARIABILITY IN THE UNDERWATER RADIANCE DISTRIBUTION (RADCAM)

Marlon R. Lewis, Principal Investigator

Scott D. McLean, Co-Investigator

Ronnie Van Dommelen, Senior Engineer

Jianwei Wei, Ph.D. Student

Ruby Quan, Master’s Student

Brian Bylhouwer, Undergraduate Student

May Hammad, Undergraduate Student

Satlantic, Inc.

&

Dalhousie University


Measurement of the radiance distribution

Measurement of the Radiance Distribution

  • For RaDyO we will develop and deploy novel instrumentation for the quantitative and radiometrically calibrated measurement of the time and depth dependent full radiance distribution fields in the upper ocean, which could be routinely deployed by the oceanographic community for subsequent scientific analyses of their sources of variability in a variety of water types.


Quantitative estimation of variability in the underwater radiance distribution radcam

Hyperspectral Profiler

“HyperPro”

Downward Irradiance

Sensor

Upward Radiance Sensor

CTD, BB2/F, CDOM


Quantitative estimation of variability in the underwater radiance distribution radcam

Downwelling Spectral Irradiance Upwelling Nadir Radiance


Current status

Current Status

  • Preliminary data processed

  • Post-calibration complete (looks good).

  • Issue with upward irradiance sensor on surface float (shading?). Testing w/sensor on nose

  • Will reprocess with consistent tare and to evaluate new multi-cast approach to radiometric quantities & AOP estimation in upper ocean (see Zaneveld et al. 2001).

  • Completion estimated by 30 April, 2009 and data submitted to WOODS (and available to any/all).


Highly calibrated optics

Highly-Calibrated Optics

Thanks to Ellie Speicher!


Status complete

Status: Complete


Radiance cameras

Radiance Cameras

  • Profiling Upwelling and Downwelling Radiance Distribution Camera (RADCAM)

    • High scene-dynamic range (about 6 orders)

    • 550nm center wavelength, 20nm bandpass

    • Nominally 1 degree resolution at nadir

  • RADCAM on MASCOT

  • RADCAM on Bluefin

  • REFERENCE (Sky Radiance Distribution)


Quantitative estimation of variability in the underwater radiance distribution radcam

Reference Camera (SkyCam)

Unfortunately, this camera failed during Santa Barbara experiment


Quantitative estimation of variability in the underwater radiance distribution radcam

ROV-RadCam Used as a Backup Reference Camera

  • Wet towel to keep ROV-Cam cool.


Quantitative estimation of variability in the underwater radiance distribution radcam

  • ROV-RadCam mounted on Mascot.


Quantitative estimation of variability in the underwater radiance distribution radcam

Above- and Below-Surface Images using ROV-RadCam on Mascot

Images Brightened for Slideshow


Quantitative estimation of variability in the underwater radiance distribution radcam

ROV-RadCam Mounted on Bluefin


Quantitative estimation of variability in the underwater radiance distribution radcam

ROV-RadCam on Bluefin, Surfacing


Quantitative estimation of variability in the underwater radiance distribution radcam

RadCam-Pro (Profiling or Tethered)

  • Profiling RadCam with OCR504IR, CTD, and SeaRover.

  • View of SeaRover and upwelling camera.


Quantitative estimation of variability in the underwater radiance distribution radcam

Downwelling and Upwelling Images from Profiling-RadCam

  • Downwelling - overcast

  • Float (upper left of Snell)

  • Upwelling

  • School of fish affecting data

  • Downwelling - clear

  • KM (faint, top of Snell)


Quantitative estimation of variability in the underwater radiance distribution radcam

Downwelling Images from Profiling-RadCam


Snell cone fluctuations

Snell Cone Fluctuations

Depth = 1 m

Figure 4: Simple representation of the light field variation across the Snell cone, showing fluctuations near the boundary due to waves and their evolution over time.


Quantitative estimation of variability in the underwater radiance distribution radcam

Downwelling Irradiance Validation with OCR504 and Radiance Distribution

20

10m

10

1

20m

Radiance Scale uW/cm2/nm/sr

0.1

Kink in RadCam curve

30m

0.01

40m

<0.001

50m


Quantitative estimation of variability in the underwater radiance distribution radcam

Downwelling Average Cosine and Diffuse Attenuation Coefficient Calculated from RadCam Images

Due to kink in RadCam Ed curve


Quantitative estimation of variability in the underwater radiance distribution radcam

Upwelling Radiance Validation with OCR504 and Radiance Distribution

20

10

Problems

2m

1

Radiance Scale uW/cm2/nm/sr

0.1

6m

0.01

12m

<0.001


Quantitative estimation of variability in the underwater radiance distribution radcam

Upwelling Irradiance Validation with Hyper TSRB


Quantitative estimation of variability in the underwater radiance distribution radcam

Upwelling Average Cosine and Diffuse Attenuation Coefficient Calculated from RadCam Images

KLUcalculated from Hyperpro was about 0.14 for first 10m.


Quantitative estimation of variability in the underwater radiance distribution radcam

Status

  • Determine immersion coefficients for the cameras.

  • Do multiple system-calibrations for each exposure to better constrain cal data.

  • Find point spread-function for each camera.

  • Solve problems with the mid-radiance exposure data (such as that presented here).

  • Begin processing data captured with high-radiance exposure.

  • ….lots of work to do….good job Jianwei successfully defended his Ph.D. Qualifying Exam (November, 2009)!


Quantitative estimation of variability in the underwater radiance distribution radcam

Ready, Aye, Ready…for Hawaii!

But…issue with unperturbed radiance field.


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