Open source femaFHZ.com allows home-owners and land-owners to visualize hazards in their area, particularly targeting the insurance sector.
This map depicts FEMA flood hazard zones (updated daily), building footprints, addresses, extensive National Risk Index data at state, county and census tract levels, in-depth current hurricane threats, flood forecasts and station monitoring data, extensive current weather data, past/present wildfires and much more useful data.
The Details
- 7 different base maps to choose from.
- National Risk Index: 24 different risk categories, available for state, county and census tract, with over 20 risk metrics.
- Risk categories: Highly detailed FEMA flood zones, wildfires, wildfire frequency and earthquakes.
- Flood stages, current, forecasts and 3 month probability.
- Hurricane/tropical storm: current/forecast track points, cone of uncertainty, wind field probabilities, watches & warnings, etc.
- Current weather & forecasts, wind, temperature, liquid/frozen precipitation, tornado probability, radar and map click point forecast.
- Climate: min/max temp, precipitation for every month of the year.
- Current year wildfires, hotspots and surface smoke.
- Boundaries: state, county, tribal, zip codes, parcels, addresses, building footprints, coastline, urban areas and urban population.
- Cell coverage, voice & data.
- Featured events, such as AI fire coverage, Palisades/Eaton fires damage scores/inventory.
- Double-click will result in 17 different metrics at specific click latitude/longitude.
- Data is in cloud native format, meaning it's fully scalable. Further, processing is largely on the client, not the back-end. Meaning, processing is distributed to the clients, not to costly cloud services or back-end server(s).
The Data
This is a project based largely on cloud native data. The base maps and weather radar are all 3rd party, open source, tile providers. The double-click feature requests data from an API on the back-end. All other data layers are static raster/vector layers in Cloud Optimized GeoTiff (COG) or FlatBeobuf (FGB) format. The raster/vector data sets update hourly, daily or more infrequently, representing over 70GB of data. Most importantly, this data exists in cheap cloud storage such as AWS S3 or any out-of-the-box web server.