Physics-based flood risk and OSM feature exposure analysis maps flood depth or flood-risk classes in prepared coverage areas, then connects those hazard layers to available OpenStreetMap features requested by the user. Buildings are one common exposure target, but the workflow can also assess other available OSM features such as roads, infrastructure, facilities, parks, or other mapped assets.

When to Use It
- Screen available OSM features for flood exposure, including buildings, roads, facilities, infrastructure, parks, or other mapped assets.
- Estimate exposed features by risk class.
- Review 100-year or other return-period flood scenarios where prepared coverage exists.
- Produce maps and tables for resilience, insurance, or infrastructure planning.
Coverage depends on the flood dataset
Physics-based flood workflows are available only where GeoRetina AI has prepared coverage. For a globally available first-pass flood screen, use Remote Sensing Flood Risk Assessment.
How to Ask
OSM feature exposure
Map 100-year flood depth and OSM feature exposure for @ottawa_study_area.
Risk classes
Where physics-based flood coverage exists, classify roads and buildings by flood risk for @project_area and include an attribute table.
Follow-up
Of these exposed OSM features, summarize the very high risk items.
Report
Create a flood exposure report for municipal resilience planning.
Outputs
The workflow can return a flood depth or risk raster, an exposed-feature vector layer, charts or summary statistics, and an attribute table for supported locations. The feature layer depends on what OSM data is available and what feature types you ask GeoRetina AI to evaluate.


Reading the Result
Use the legend and attribute table together. The raster tells you where flood depth or risk is highest. The vector table tells you which requested OSM features intersect the hazard surface and which attributes were calculated for each exposed feature.

Useful Follow-ups
- "How many exposed features are in each risk class?"
- "Show only roads and facilities with very high flood risk."
- "Export the exposed OSM feature layer."
- "Create a report explaining the most exposed clusters."