Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various weather conditions). We are developing innovative sensor suites and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion. In this paper, we present a sensor suite, an information processing architecture, examples of the resulting fused information, and future experimental designs. These combined resources present opportunities for creating rich 3-D characterizations of the environment and can support novel hybrid human/computer methods for target characterization, identification, and tracking.