Remote sensing flood risk assessment provides a globally available first-pass screen for relative flood susceptibility. It combines terrain, drainage, precipitation, impervious surface, and water-detection signals where available, then returns a risk index and interpretation for the selected region.
Use this workflow when you need flood-risk context in locations where physics-based flood coverage has not been prepared, or when you want a fast regional screen before deeper engineering or asset-exposure work.
When to Use It
- Screen flood susceptibility for a region anywhere supported global inputs are available.
- Compare project sites, parcels, or planning areas before requesting deeper review.
- Identify high and very high susceptibility zones for resilience, conservation, acquisition, or due-diligence workflows.
- Create a map, chart, and narrative summary for early-stage reporting.
Remote sensing vs physics-based flood
Remote sensing flood risk assessment is globally available as a relative susceptibility screen. Physics-based flood risk and OSM feature exposure is available only in selected prepared locations, and can support flood-depth, return-period, and requested feature-exposure scenarios where coverage exists.
How to Ask
Regional screen
Run remote-sensing flood risk assessment for @project_area.
Site due diligence
Screen @site_boundary for flood susceptibility using globally available inputs.
Super report
In Super mode, create a remote-sensing flood risk summary for @watershed.
Compare assets
Compare this remote-sensing flood risk layer with @parcel_inventory.
Outputs
The workflow can return a relative flood risk index map, risk-class composition chart, component-weight chart, driver summary, interpretation notes, and reusable map layer assets.
Reading the Result
Read the map and charts as a relative susceptibility assessment, not as a measured flood-depth map. High and very high classes indicate areas that should be prioritized for closer review, but the result does not replace site-specific engineering, surveyed hydrology, or emergency flood mapping.
The component-weight chart explains which signals contributed to the score. For example, HAND, slope, forecast precipitation, impervious surface probability, and current water coverage can each influence the final risk index depending on the location and available inputs.
When to Use Physics-Based Flood Instead
Use Physics-Based Flood Risk & OSM Feature Exposure when GeoRetina AI has prepared local coverage and you need flood-depth surfaces, return-period scenarios, exposed OSM features, or attribute tables for specific mapped assets.