Collaborative Investigations of Shallow Water Optics Problems

Abstract

A combination of HydroLight and Monte Carlo numerical modeling was used to quantify the effects of water column optical properties, bottom morphology, bottom material reflectances, bottom bidirectional reflectance distribution functions (BRDFs), and external environmental conditions on remote-sensing reflectances in optically shallow waters. It was found that typical variability in these quantities generally causes no more than 10% error in the recovery of bathymetry from hyperspectral remote sensing reflectances. Other research performed under this contract included investigations of radiometer self shading, underwater visibility, analytical modeling of remote sensing reflectances in both deep and shallow Case 2 waters, semianalytical methods for inversion of the radiative transfer equation, and the use of neural networks and regression for inversion of ocean color spectra. Reprints of five publications are included in this report.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA430056

Entities

People

  • Curtis D. Mobley

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programs
  • Diffraction
  • Fish
  • Geography
  • Habitats
  • Monte Carlo Method
  • Oceanography
  • Optical Instruments
  • Optical Properties
  • Optics
  • Photons
  • Radiative Transfer
  • Reflectance
  • Refractive Index
  • Remote Sensing
  • Scattering

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Atmospheric Remote Sensing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference