The present invention provides a new approach for processing
hyper-spectral radiance data. It uses a transformation matrix to convert
an instrument radiance spectrum into a pseudo-monochromatic radiance
spectrum. The pseudo-monochromatic radiance spectrum is produced by an
empirical transform of the instrument channel spectrum to a monochromatic
equivalent spectrum (i.e., a pseudo-monochromatic spectrum). Eigenvector
regression is used to produce the empirical transformation. Although the
transformation does not produce the monochromatic radiance spectrum
without error, the transformation error is generally well below nominal
instrument noise levels for most spectral channels. The reduction in
instrument noise results from a noise filtering effect of the eigenvector
transformation. One of the advantages of the present invention is that it
eliminates the need to build different fast radiative transfer models
(RTMs) for different observing instruments, since the retrieval of
geophysical parameters is based on an inversion of the monochromatic
radiative transfer model. Although a different transformation matrix is
required for different instrument spectral channel characteristics, the
production of this transformation matrix is straightforward and simpler
than the production of an accurate channel radiance fast model.