  While the presence of ghosts has been known for decades, the impact of these
apparitions on remote sensing observations has gone unquantified, leaving
atmospheric corrections susceptible to ghosting. In this work, we present the
first spectral characterization of three common ghost types and provide a
framework for incorporating these properties into atmospheric correction
algorithms. We demonstrate the effect of this improved atmospheric ghost
correction compared to an atmosphere-only implementation. Lastly, we discuss
some preliminary spatiotemporal variations in haunting intensity and type.
