Quantitative Estimation of Variability in the Underwater Radiance Distribution (radcam)

Abstract

A significant source of uncertainty in the prediction of the apparent optical properties of the ocean is the geometrical distribution of the radiance field and its variation with respect to time and space; this uncertainty directly affects attempts to use measurements of reflectance and attenuation for the diagnosis of ocean constituents. Uncertainties in the time and depth dependent variations in the radiance distribution, and their sources of variation, propagate as well to the prediction of the performance of new imaging systems such as the "virtual periscope". The problem starts at the sea surface, where the generally unknown sky radiance distribution, coupled with a roughened air-sea interface, plays a major role in the transmission of sun and sky radiance to below the surface. In the ocean interior, the volume scattering function, and the absorption coefficient alter the radiance distribution in both the forward and backward direction; in the perhaps usual situation of multiple scattering, the uncertainty in the radiance distribution becomes large. In optically shallow areas, non-Lambertian bottom reflectances add to the uncertainty.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA534197

Entities

People

  • Marlon R. Lewis
  • Scott D. Mclean

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Absorption
  • Absorption Coefficients
  • Attenuation
  • Calibration
  • Cameras
  • Coefficients
  • Coordinate Systems
  • Dynamic Range
  • High Dynamic Range
  • Image Processing
  • Measurement
  • Nova Scotia
  • Optical Instruments
  • Optical Properties
  • Reflectance
  • Scattering
  • Surface Properties

Fields of Study

  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Statistical inference.

Technology Areas

  • Space