Sun Ho Ro
← All projects
GeoAI GovernanceRemote Sensing

FFRMS Mapping Support

AI-assisted floodplain mapping workflow to support FEMA's Federal Flood Risk Management Standard, integrating remote sensing data with regulatory compliance pipelines.

Client
FEMA
Location
Germantown, MD
Year
2024
Role
GeoAI Engineer

Overview

Sun Ho Ro supported FEMA's Federal Flood Risk Management Standard (FFRMS) implementation by developing an AI-assisted mapping workflow that integrates satellite-derived terrain analysis with FEMA's regulatory floodplain delineation processes.

The FFRMS requires federal agencies and federally funded projects to account for expanded flood risk beyond the standard 100-year floodplain — incorporating climate-driven sea level rise and increased precipitation intensity. Translating that policy requirement into actionable mapping at scale demands significant automation.

Approach

The project combined high-resolution DEMs, LiDAR derivatives, and multispectral imagery with custom-trained models to identify areas meeting FFRMS expansion criteria. Outputs were structured to integrate directly into FEMA's Hazus and FIRM workflows, minimizing manual analyst rework.

Results

Coming soon.

Impact

Coming soon.

Tech & Techniques

PythonArcGIS ProRemote SensingFloodplain AnalysisFEMA FIRMGeoAI