A baseline structure inventory with critical attribution for the US and its territories

Hsiuhan Lexie Yang; Melanie Laverdiere; Taylor Hauser; Benjamin Swan; Erik Schmidt; Jessica Moehl; Andrew Reith; Daniel Adams; Bennett Morris; Jacob McKee; Matthew Whitehead; Mark Tuttle

doi:10.1038/s41597-024-03219-x

A baseline structure inventory with critical attribution for the US and its territories

Sci Data. 2024 May 16;11(1):502. doi: 10.1038/s41597-024-03219-x.

Affiliations

¹ Geospatial Science and Human Security Division, Oak Ridge National Laboratory, Oak Ridge, USA. yangh@ornl.gov.
² Geospatial Science and Human Security Division, Oak Ridge National Laboratory, Oak Ridge, USA.

Abstract

Leveraging high performance computing, remote sensing, geographic data science, machine learning, and computer vision, Oak Ridge National Laboratory has partnered with Federal Emergency Management Agency (FEMA) to build a baseline structure inventory covering the US and its territories to support disaster preparedness, response, and recovery. The dataset contains more than 125 million structures with critical attribution, and is ready to be used by federal agencies, local government and first responders to accelerate on-the-ground response to disasters, further identify vulnerable areas, and develop strategies to enhance the resilience of critical structures and communities. Data can be freely and openly accessed through Figshare data repository, ESRI's Living Atlas or FEMA's Geodata platform.

Publication types

Dataset