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

Hsiuhan Lexie YangMelanie LaverdiereTaylor HauserBenjamin SwanErik SchmidtJessica MoehlAndrew ReithDaniel AdamsBennett MorrisJacob McKeeMatthew WhiteheadMark Tuttle
Published in: Scientific data (2024)
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.
Keyphrases
  • public health
  • machine learning
  • electronic health record
  • big data
  • emergency department
  • climate change
  • deep learning
  • data analysis