Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in three dimensionsbased on accurate multi-source data registration, change detection, and deep learning-based scene interpretation. The Phase I work will laythe foundation for full software prototype development and demonstration at NGA in Phase II.