Improvements in Aerosol Retrieval for Atmospheric Correction

Abstract

First-principles atmospheric correction that converts Visible-NIRSWIR spectral imagery to surface reflectance requires an estimate of the scene visibility / aerosol optical depth. This paper describes aerosol upgrades to FLAASH, a first-principles atmospheric correction algorithm developed by Spectral Sciences, Inc. and the US Air Force Research Laboratory. FLAASH utilizes an automated band ratio method for retrieving an average scene visibility from dark pixels. The visibility estimate is combined with a MODTRAN-tm aerosol representation to describe the atmosphere. Recent FLAASH upgrades improve both visibility retrieval and atmospheric correction accuracy. These result in better handling of highly off-nadir viewing geometries, high aerosol optical depths and sensors lacking infrared spectral channels.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2008
Accession Number
ADA528383

Entities

People

  • A. Berk
  • A. J. Ratkowski
  • Jung‐Hee Lee
  • M. J. Fox
  • M. W. Matthew
  • S. M. Adler-golden

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Atmospheres
  • Boltzmann Equation
  • Detectors
  • Geometry
  • Line Of Sight
  • Materials
  • Military Research
  • Optical Properties
  • Rayleigh Scattering
  • Reflectance
  • Refractive Index
  • Scattering
  • Visibility

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Fluid Dynamics (CFD)