A Look-Up-Table Approach to Inverting Remotely Sensed Ocean Color Data

Abstract

Remote sensing algorithms for the marine environment have traditionally relied upon semi-empirical approaches to determining water column properties. These algorithms are usually depth-integrals of a proxy of desired information, i.e., chlorophyll algorithms are a proxy for water column autotrophic biomass. The goal of this work is to use the increased spectral resolution of current satellite and aircraft data systems to solve for the depth-dependent optical properties of interest, e.g., absorption and scattering, as well as the depth-dependent distribution of the individual optical constituents, e.g., diatoms, dinoflagellates, cyanobacteria, CDOM, and sediment. This will be accomplished ?create a large dataset of simulated remote sensing reflectance, Rrs, using a radiative transfer model and developing a look-up-table approach to Rrs inversion.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA627683

Entities

People

  • William Paul Bissett

Organizations

  • Florida Environmental Research Institute

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Absorption
  • Aircrafts
  • Algorithms
  • Amplitude
  • Artificial Satellites
  • Chlorophylls
  • Computations
  • Data Sets
  • Databases
  • Differential Equations
  • Environment
  • Optical Properties
  • Particles
  • Radiative Transfer
  • Reflectance
  • Remote Sensing
  • Scattering

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Coastal Oceanography
  • Marine Ecotoxicology

Technology Areas

  • Space