Water Vapor Retrieval Using the FLAASH Atmospheric Correction Algorithm

Abstract

FLAASH (Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes) is a first-principles atmospheric correction algorithm for visible to shortwave infrared (SWIR) hyperspectral data. The algorithm consists of two main steps. The first is retrieval of atmospheric parameters, visibility (which is related to the aerosol type and distribution) and column water vapor. The second step is solving the radiation transport equation for the given aerosol and column water and transformation to surface reflectance. The focus of this paper is on the FLAASH water vapor retrieval algorithm. Modeled radiance values in the spectral region of one water vapor absorption feature are calculated from MODTRAN 4 using several different water vapor amounts and are used to generate a Look-Up Table (LUT). The water band typically used is 1130 nm but either the 940 or 820 nm band may also be used. Measured radiance values - are compared to the LUT to determine the column water vapor amount for each pixel in the scene. We compare the results of water retrievals for each of these bands and also the results of their corresponding reflectance retrievals.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 16, 2004
Accession Number
ADA423120

Entities

People

  • Gail P. Anderson
  • Gerald W. Felde
  • James A. Gardner
  • Michael W. Matthew
  • Stephen M. Alder-golden

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Absorption
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Atmospheres
  • Atmospheric Scattering
  • Detectors
  • Equations
  • Line Of Sight
  • Military Research
  • Radiance
  • Radiative Transfer
  • Reflectance
  • Scattering
  • Surface Waters
  • Visibility
  • Water Vapor

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Image Processing and Computer Vision.
  • Spectroscopy.