Per-roof damage, hail, wind, and tarp analysis for a hurricane impact area.
Event: Hurricane Ida
Location: Houma, LA – South sector
Roofs analyzed: 12,846
Preset bundle: Damage + Hail + Wind + Tarp
Severe or worse
18.4%
High-priority inspection list for immediate deployment.
Tarps detected
1,327
Likely total-loss roofs or major structural impact.
Average hail score
0.73
Dense hail signature clusters in the eastern blocks.
Wind exposure band
S–SE
Elevated edge/uplift flags along windward roof lines.
Roof severity distribution
Each roof is classified into a severity bin using the Damage preset, then aggregated
for an at-a-glance view of overall impact across the project area.
Minor (0–0.25)
Moderate (0.25–0.5)
Severe (0.5–0.75)
Extreme (> 0.75)
Severity scores range from 0 to 1.0 and are translated into bins for reporting. The
full numeric score for each roof is available in the CSV / GeoPackage export.
Downloads for this project
For real projects, you receive machine-readable files for your GIS and systems,
plus a human-friendly PDF summary for management.
In production, the GeoPackage includes roof footprints with severity fields and
preset flags. The CSV contains the same attributes in a flat table keyed by Roof ID.
Feel free to treat these outputs like any other project layer: join them into
parcel datasets, overlay flood zones, or hand them directly to contractors.
Example per-roof records
Below is a small sample from the full roof table. Real exports include every roof in
the project area with the same structure.
Roof ID
Address (approx.)
Damage class
Damage score
Hail score
Wind flags
Indicators
IDA-HS-000134
Broadmoor Dr, block 3
Extreme
0.91
0.77
Ridge uplift, edge stripping
TarpStructural risk
IDA-HS-000247
Broadmoor Dr, block 5
Severe
0.82
0.68
Windward slope uplift
Hail cluster
IDA-HS-000398
Concord Dr, north
Moderate
0.46
0.39
Edge distress
No tarp
IDA-HS-000522
St. Charles St, east
Minor
0.18
0.12
None
Clear
Addresses in this sample are generalized for demonstration. Production outputs keep
Roof IDs and coordinates stable so you can integrate them with your own address and
policy data.