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Probabilistic iterative inversion of combined surface/atmosphere models for atmospheric correction of imaging spectrometer data
A NASA software catalog entry available for reuse or request.
About this technology
Overview
We have developed a software package that permits inversion of imaging spectrometer data using a Bayesian probabilistic formalism and least squares optimization with a "forward model" of photon transport to match an estimate of atmosphere and surface properties to the measured spectrum. It is instantiated as a python package and can take advantage of externally-available radiative transfer packages such as MODTRAN. It runs on data formats such as ASCII text files and binary files similar to those used by NASA instruments such as AVIRIS-NG.