There have been a number of methods investigated and under current investigation for monitoring the health of the Space Shuttle Main Engine (SSME). Plume emission analysis has recently emerged as a potential technique for correlating the emission characteristics with the health of an engine. To correlate the visual and spectral signatures of the plume emission with the characteristic health monitoring features of the engine, one has to acquire, store, and analyze the plume emission data in a manner similar to flame emission spectroscopy. The characteristic visual and spectral signatures ofthe elements vaporized in exhaust plume along with the features related to their temperature, pressure, and velocity can be analyzed once the images of plume emission are effectively acquired, digitized, and stored on a computer. Since the emission image varies with respect to location (the distance from the nozzle) and also with respect to time at a specified planar location, four-dimensional visual and spectral analysis needs to be performed on the plume emission data. To achieve this objective, we conducted feasibility research to digitize, store, analyze, and visualize the images of a subsonic jet in a cross flow. The jet structure was made visible using a direct injection flow visualization technique. The results of temporal (time-history-based) three-dimensional reconstruction of the cross-sectional images corresponding to a specific planar location of the jet structure are presented and the experimental setup to acquire such data is described. 3-D displays of temporal reconstructions of the jet structure are discussed.