A correlation method for volcanic ash detection using hyperspectral infrared measurements

摘要: Remote satellite detection of airborne volcanic ash is important for mitigating hazards to aviation and calculating plume altitudes. Infrared sounders are essential detecting ash, as they can distinguishing aerosol type be used day night. While broadband sensors mainly this purpose, have inherent limitations. Typically, water ice mask while wind blown dust yield false detection. High spectral resolution should able overcome some these However, existing methods not easily applicable hyperspectral there therefore a pressing need novel techniques. In response, we propose sensitive robust method based on correlation coefficients demonstrate it IASI observations. We show that the differentiates from clouds dust. Easy implement, could contribute operational hazard mitigation.