Title :
FLAASH and MODTRAN4: state-of-the-art atmospheric correction for hyperspectral data
Author :
Anderson, G.P. ; Pukall, B. ; Allred, C.L. ; Jeong, L.S. ; Hoke, M. ; Chetwynd, J.H. ; Adler-Golden, S.M. ; Berk, A. ; Bernstein, L.S. ; Richtsmeier, S.C. ; Acharya, P.K. ; Matthew, M.W.
Author_Institution :
Res. Lab., Hanscom AFB, MA, USA
Abstract :
FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) is a MODTRAN-based “atmospheric correction” software package which is being developed by the Air Force Research Laboratory, Hanscom AFB, and Spectral Sciences, Inc., to support current and planned SWIR/visible/UV hyperspectral and multispectral sensors, typically in image format. The AF intent is to provide surface reflectance and emissivity image cubes of sufficient accuracy for input into subsequent analyses of surface properties, effectively removing the atmospheric component. The main objectives are (1) accurate, physics-based descriptions of surface and atmospheric properties (such as surface albedo, relative elevation, water vapor column, aerosol and cloud optical properties, and temperatures), (2) minimal computational time requirements, and (3) interactive, user-friendly interface for generating MODTRAN4-based look-up tables. Validation and development exercises are being carried out on data from the airborne AVIRTS and HYDICE sensors, which cover the 0.4-2.5 μm region; applications are also planned for infrared sensors. The algorithms for deriving the surface and atmospheric properties utilize the full MODTRAN4 accuracy (thermal and solar) and account for adjacency effects associated with atmospheric scattering. A new line-tail treatment and a correlated-k (CK) radiative transfer algorithm provide improved accuracy, especially under conditions of partial cloud cover and/or heavy aerosol loading
Keywords :
aerosols; atmospheric techniques; clouds; geophysical signal processing; image processing; spectral analysis; spectroscopy computing; Air Force Research Laboratory; FLAASH; HYDICE sensors; MODTRAN; MODTRAN4; SWIR/visible/UV hyperspectral sensors; accuracy; aerosol; airborne AVIRTS; atmospheric correction; atmospheric correction software; atmospheric properties; cloud optical properties; computational time requirements; correlated-k radiative transfer algorithm; elative elevation; hyperspectral data; image cubes; infrared sensors; interactive interface; line-tail treatment; multispectral sensors; partial cloud cover; surface albedo; surface emissivity; surface properties; surface reflectance; temperatures; water vapor column; Aerosols; Clouds; Force sensors; Hypercubes; Hyperspectral sensors; Image analysis; Infrared sensors; Optical scattering; Software packages; Spectral analysis;
Conference_Titel :
Aerospace Conference, 1999. Proceedings. 1999 IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-5425-7
DOI :
10.1109/AERO.1999.792088