A Baseline Structure Inventory With Critical Attribution For The Us And Its Territories

This article discusses the importance of accurate spatial data on critical infrastructure for disaster response and recovery efforts in the United States. The authors present a comprehensive workflow for creating a national database of building footprints, which includes the use of machine learning and computer vision technologies. The resulting USA Structures database includes critical attributes such as address and structure use, making it a valuable resource for disaster management.