Continued development of computational methods and user interfaces that explicitly visualize change associated with spatiotemporal phenomena supports applications in many domains. These include epidemiology, law enforcement, precision agriculture, environmental monitoring, urban studies, and many other applications. The tri-space framework provides a means of analyzing multivariate and multitemporal data by manipulating its structure to yield six distinct perspectives, each eliciting unique insights into the data. Dimensionality reduction techniques, such as self-organizing maps and multidimensional scaling, facilitate the interpretation of this change through visualization. Imagery analysis presents a compelling domain for this methodology as satellite and aerial imagery is commonly used to monitor dynamic phenomena in a wide variety of environmental and urban studies. One exciting application of the tri-space framework in this domain is the visualization of cell trajectories across multispectral space as image brightness values change over time. Additionally, holistic trends and more subtle patterns present within the multi-temporal image data can be detected and emphasized by the tri-space framework and the different normalizations it yields. Understanding can be further enhanced through classification overlays, interactivity, and linked visualization of tri-space perspectives and geographic space. The objectives of this research focus on the conceptualization and scalable development of a web-based platform that encapsulates the tri-space approach in an exploratory data analysis environment to facilitate a pixel-based inductive analysis of multitemporal imagery data. In pursuit of these research objectives, a conceptual model for the application of the tri-space framework to the imagery domain has been developed. This model serves as the conceptual basis for this work and for future research in the domain. Additionally, a complete system architecture has been developed that encapsulates all of the software components and workflows required to apply the tri-space framework to imagery.