Full Spectral Signature Simulation Models for Chemical Releases

Technologies enabling remote detection, identification, and quantification of trace chemical species in the atmosphere can provide critical information for uncovering activities associated with proliferation of weapons of mass destruction (WMD). A key requirement for efficient development of advanced WMD sensors and analysis algorithms is the availability of well-validated, user-friendly software for modeling the spectral signatures of the large number of target trace species . This project will develop validated atmosphere-embedded trace gas signature tools for remote monitoring of WMD production facilities. Phase I demonstrated that available trace gas infrared absorbance spectra can be converted to band model data and incorporated into standard radiative transfer models for automated calculation of atmosphere-embedded plume signatures. Validated contrast spectral signatures, defined as the difference between observed radiance in the presence and absence of the chemical release, were generated for several gases and scenarios of interest. In addition, a synthetic thermal hyperspectral image of a chemical plume against a mountainous background was generated. Phase II will develop chemical plume signature capabilities for the standard atmospheric radiance model and for two well-established synthetic hyperspectral image generation models. Commercial Applications and other Benefits as described by the awardee: The technology should directly benefit academic, commercial, and government groups involved in the design and development of optically-based remote sensors for virtually any application, including intelligence, surveillance, and reconnaissance; natural resource assessment; urban planning; fire detection; and natural disaster damage assessment