This opportunity aims to develop an AI capability that generates geo-specific, sensor-independent multimodal scenes (RF and EO/IR) for synthetic-data creation by combining geospatial information, time-of-day, seasonal factors, and measured databases. The objective is to overcome current model and radiometric data limitations to produce realistic, scalable training and test datasets.