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

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

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Article number	502
Journal	Scientific Data
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41597-024-03219-x
State	Published - Dec 2024

Funding

This project is funded by Response Geospatial Office of FEMA under U.S. Department of Homeland Security. The authors would like to acknowledge the GIS analysts who supported the creation of the high quality labelled training set leveraged in this work: Brad Miller, Matthew Crockett, Katie Heying, Darrell Roddy, Brian Giffen, Joe Pyle, Jason Martin, Seth Romer, Michael Smith, Mary Ann O’Shell, Ben Slack, Justin Cave, Carson McCullough, Kolby Demers, Chris Zerr. We would also like to extend our gratitude to Dr. Budhendra Bhaduri for his unwavering support of this project over the years. This manuscript has been authored by UT-Battelle, LLC under Contract No.DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paidup, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan.

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Cite this

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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{\textquoteright}s Living Atlas or FEMA{\textquoteright}s Geodata platform.",

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AU - Reith, Andrew

AU - Adams, Daniel

AU - Morris, Bennett

AU - McKee, Jacob

AU - Whitehead, Matthew

AU - Tuttle, Mark

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

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