A series of tools are being leveraged within ESRI’s ArcGIS to analyze a suite of data acquired from a collection of coincident instruments during the Sea ice Experiment: Dynamic Nature of the Arctic (SEDNA) field project during spring 2007. The effort demonstrated here incorporates data from RADARSAT imagery, buoy drifts, helicopter tracks, and thickness distributions. The purpose is to view all these datasets together both spatially and temporally using a data overlayering framework. This may be the first time a time-varying data-layering approach has been applied to a sea-ice field program given the rarity of such integrated measurements. Hence efforts demonstrated here provide invaluable visualization of complex processes involving multiple scales and instrumentation.