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Modeling chemical detection sensitivities of active and passive remote sensing systems

During nearly a decade of remote sensing programs under the auspices of the U.S. Department of Energy (DOE), LLNL has developed a set of performance modeling codes -- called APRS -- for both Active and Passive Remote Sensing systems. These codes emphasize chemical detection sensitivity in the form of minimum detectable quantities with and without background spectral clutter and in the possible presence of other interfering chemicals. The codes have been benchmarked against data acquired in both active and passive remote sensing programs at LLNL and Los Alamos National Laboratory (LANL). The codes include, as an integral part of the performance modeling, many of the data analysis techniques developed in the DOE's active and passive remote sensing programs (e.g., "band normalization" for an active system, principal component analysis for a passive system).