Multi-spectral sensor systems that record spatially and temporally registered image video have a variety of applications depending on the spectral band employed and the number of colors available. The colors can be selected to highlight physically meaningful portions of the image, and the resulting imagery can be used to decode relevant phenomenology. For example, the images can be in spectral bands that identify materials that are intrinsic to the target while uncommon in the backgound, providing an anomaly detection cue. These multi-spectral video sensor engines can also be employed in conjunction with conventional fore-optics such as astronomical telescopes or microscopes to exploit useful phenomenology at dissimilar scales. Here we explore the relevance of multi-spectral video in a space application. This effort coupled a terrestrial multispectral video camera to an astronomical telescope. Data from a variety of objects in Low Earth Orbit (LEO) were collected and analyzed both temporally, using light curves, and spectrally, using principal component analysis (PCA). We find the spectral information is correlated with temporal information, and that the spectral analysis adds the most value when the light curve period is long. The value of spectral-temporal signatures, where the signature is the difference in either the harmonics or phase of the spectral light curves, is investigated with inconclusive results.© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.