The data models developed by UrbanFootprint leverage trusted US government sources and authoritative private data providers to build peer-reviewed models and datasets built for actionable, real-world analysis and decision making.
The UrbanFootprint Tropical Cyclone Wind Risk model estimates the rate of 1-min wind speed exceedance events per year on a 0.1 degree grid nationwide.
The UrbanFootprint Noncyclonic Wind Risk model estimates probabilities of exceedance at various wind speeds for CONUS on an H3 zoom level 5 grid.
The UrbanFootprint Tornado Wind Risk model generates probabilities of exceedance for CONUS on an H3 zoom level 4 grid.
The UrbanFootprint Coastal Flood Risk model estimates flood depth at the parcel geography for CONUS.
The UrbanFootprint Earthquake Risk model produces a single seismic hazard map for CONUS that accounts for variability in Vs30 on an H3 zoom level 9 grid.
The UrbanFootprint climate team brings interdisciplinary expertise from data science, geospatial engineering, and urban planning to holistic modeling and methodologies.
Data Science Manager
VP of Data Science and Engineering
Data Scientist
Senior Data Scientist
Senior Geospatial Data Engineer
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