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Proceedings Paper

Retrieval of atmospheric properties from hyper and multispectral imagery with the FLAASH atmospheric correction algorithm
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Paper Abstract

Atmospheric Correction Algorithms (ACAs) are used in applications of remotely sensed Hyperspectral and Multispectral Imagery (HSI/MSI) to correct for atmospheric effects on measurements acquired by air and space-borne systems. The Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) algorithm is a forward-model based ACA created for HSI and MSI instruments which operate in the visible through shortwave infrared (Vis-SWIR) spectral regime. Designed as a general-purpose, physics-based code for inverting at-sensor radiance measurements into surface reflectance, FLAASH provides a collection of spectral analysis and atmospheric retrieval methods including: a per-pixel vertical water vapor column estimate, determination of aerosol optical depth, estimation of scattering for compensation of adjacency effects, detection/characterization of clouds, and smoothing of spectral structure resulting from an imperfect atmospheric correction. To further improve the accuracy of the atmospheric correction process, FLAASH will also detect and compensate for sensor-introduced artifacts such as optical smile and wavelength mis-calibration. FLAASH relies on the MODTRANTM radiative transfer (RT) code as the physical basis behind its mathematical formulation, and has been developed in parallel with upgrades to MODTRAN in order to take advantage of the latest improvements in speed and accuracy. For example, the rapid, high fidelity multiple scattering (MS) option available in MODTRAN4 can greatly improve the accuracy of atmospheric retrievals over the 2-stream approximation. In this paper, advanced features available in FLAASH are described, including the principles and methods used to derive atmospheric parameters from HSI and MSI data. Results are presented from processing of Hyperion, AVIRIS, and LANDSAT data.

Paper Details

Date Published: 1 November 2005
PDF: 11 pages
Proc. SPIE 5979, Remote Sensing of Clouds and the Atmosphere X, 59790E (1 November 2005); doi: 10.1117/12.626526
Show Author Affiliations
Timothy Perkins, Spectral Sciences Inc. (United States)
Steven Adler-Golden, Spectral Sciences Inc. (United States)
Michael Matthew, Spectral Sciences Inc. (United States)
Alexander Berk, Spectral Sciences Inc. (United States)
Gail Anderson, Air Force Research Lab. (United States)
James Gardner, Air Force Research Lab. (United States)
Gerald Felde, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 5979:
Remote Sensing of Clouds and the Atmosphere X
Klaus Schäfer; Adolfo T. Comerón; James R. Slusser; Richard H. Picard; Michel R. Carleer; Nicolaos Sifakis, Editor(s)

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