Context
The City of Norfolk faces significant coastal storm risk, and structure-level data plays a central role in evaluating mitigation strategies. The project required spatial and elevation analysis to support assessment of structures affected by modeled coastal storm scenarios.
Challenge
Structure risk assessment depends on the quality of multiple source datasets. Elevation-derived products, modeled storm outputs, nonstructural project records, and structure classification data had to be cross-checked and refined before they could support reliable mitigation decisions.
My Role
I led GIS and elevation analytics support for structure-level assessment. My work focused on reviewing source datasets, refining structure information, and improving Tier classifications within the structures database.
Approach
I worked with U.S. Army Corps of Engineers Coastal Storm Risk Management LiDAR-to-polygon products and Norfolk Nonstructural Project datasets. The workflow compared source layers, checked structure attributes, and used spatial and elevation relationships to refine classifications.
Output
The project produced improved structure database inputs and refined Tier classifications for coastal storm risk assessment.
Impact
The work supported more precise coastal storm risk evaluation and mitigation planning. It strengthened the dataset used to assess structure exposure and evaluate nonstructural strategies.