Coastal Flood Risk Mapping from Sea Level Rise Scenarios

Quantify inundation exposure under multiple sea-level rise scenarios. Klarety overlays high-resolution elevation models with satellite-derived coastal tidal measurements to compute flood extent, identify low-lying asset clusters, and score vulnerability by return period. Insurers and planners model adaptation investment requirements.

Coastal vulnerability scoring for insurers and planners

Klarety AI
Klarety AI chat composer interface

Inundation maps from one AOI and scenario prompt

Klarety agents overlay elevation models with satellite tidal data and return flood extent and asset vulnerability reports by scenario.

DEM + Tidal
Klarety satellite analysis output

Multi-scenario DEM inundation extent modeling

Agents apply 1m, 2m, and 3m sea-level increments to high-resolution DEMs and compute inundation extents with return period scoring.

GIS Output
Klarety AI map annotation overlay

Flood extent layers for coastal risk GIS tools

Export inundation polygons and vulnerability score grids for property risk model and coastal adaptation GIS tool integration.

Multi-scenario DEM inundation extent computation

Klarety agents apply the CoastalDEM or SRTM DEM to compute inundation extents for 0.5m, 1m, 2m, and 3m sea-level rise scenarios using a bathtub flood fill algorithm. Satellite-derived mean high water marks from Landsat water extent analysis calibrate tidal baseline. Output is a scenario-stratified flood extent raster and asset exposure table by administrative unit.

Klarety AIModel coastal flood risk for your region
analysis/coastal_flood_risk_model.pyAgent code
output/coastal_flood_report.mdOutput report

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