TY - JOUR
T1 - A baseline structure inventory with critical attribution for the US and its territories
AU - Yang, Hsiuhan Lexie
AU - Laverdiere, Melanie
AU - Hauser, Taylor
AU - Swan, Benjamin
AU - Schmidt, Erik
AU - Moehl, Jessica
AU - Reith, Andrew
AU - Adams, Daniel
AU - Morris, Bennett
AU - McKee, Jacob
AU - Whitehead, Matthew
AU - Tuttle, Mark
N1 - Publisher Copyright:
© UT-Battelle, LLC 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85193482589&partnerID=8YFLogxK
U2 - 10.1038/s41597-024-03219-x
DO - 10.1038/s41597-024-03219-x
M3 - Article
C2 - 38755153
AN - SCOPUS:85193482589
SN - 2052-4463
VL - 11
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 502
ER -