Coastal risk intelligence for Miami-Dade

CoastalShield for Miami-Dade

A GIS-based coastal risk platform that turns scattered seawall and pier records into a live map of weak segments so DEM and EOC teams know where failures are most likely in the next storm.

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Built for emergency management, public works, and coastal resilience teams in Miami-Dade County.
Unify Bring assets, inspections, photos, and surge/tide data into one coastal map.
Score Assign 0–100 failure-risk scores by segment and scenario.
Act Turn risk into prioritized inspections, mitigation, and storm response.
CoastalShield dashboard showing coastal risk segments, scores, and surge overlay for Miami-Dade
Example CoastalShield dashboard: high-risk segments, scores, and surge overlays for Miami-Dade’s coastline.
The problem

DEM can’t see weak points until they fail

Miami-Dade’s seawalls and piers were built at different times and standards. Condition information is scattered across PDFs, inspection reports, photos, and departments, so DEM doesn’t have a real-time view of weak coastal segments before king tides or hurricanes.

During events, failures are often discovered only once water is already overtopping or structures are damaged.
Limited crews, barriers, and pumps must be allocated based more on gut feel than on comparable risk scores.
Our solution

A coastal risk dashboard for DEM and EOC

CoastalShield is a GIS-based platform that maps all existing seawalls and piers, scores their storm failure risk, and gives DEM/EOC teams a live coastal risk dashboard to prioritize inspections and mitigation.

  • Coastal asset registry and map of seawalls/piers.
  • Risk scoring that combines condition, exposure, and surge/tide data.
  • Dashboards and alerts tailored to DEM/EOC workflows.
How it works

From scattered records to a live coastal map

CoastalShield ingests existing County data first, then layers on analytics and optional retrofit sensors where needed.

Inputs

  • Asset and inspection records from existing systems.
  • Photos, drawings, and GIS layers.
  • Tide and surge forecasts, elevation, and exposure data.
  • Optional low-power sensors (tilt, water level, corrosion) for critical segments.

Outputs

  • Risk maps with segment-level scores.
  • Priority lists for inspections and mitigation projects.
  • Dashboards and alerts for DEM/EOC operations.
Pilot flow

Suggested pilot with Miami-Dade

1
2–3 months
Start with 1–2 coastal neighborhoods or a specific seawall corridor. Ingest existing asset and inspection data, create the initial risk map.
2
6–9 months
Use the dashboard during king tides or one storm season, refine scoring with DEM/Public Works feedback.
3
Deliverables
Coastal asset map, segment risk scores, EOC dashboards, and a scaling plan for the full coastline.
Technology

Technology and security

Platform

Browser-based and integration-ready

Cloud-hosted, browser-based platform that integrates with existing County GIS and data systems.

Sensor-agnostic

Start with the data you already have

Can start with existing data and later incorporate low-power retrofit sensors where needed.

Security

Aligned to County requirements

Role-based access, SSO-ready, and encrypted in transit (HTTPS/TLS) to align with County security requirements.

Team

Team

CoastalShield is being developed by Structure Metrics Labs, a small team combining structural health monitoring, data science, cybersecurity, and platform engineering.

Yury Vasilyev – Founder & CEO
Inna Tkachenko – Co-Founder & Head of Data Science
Nikolay Vasilyev – Cybersecurity & IoT Security Lead
Michael Margulis – Head of Structural Engineering & SHM
Andrey Vasilyev – Lead Full-Stack Engineer
Contact

Let's protect Miami-Dade's coastline together

If you work on emergency management, coastal resilience, or public works and would like to explore a pilot of CoastalShield, we'd love to talk.

Request pilot demo
Why now

From fragmented records to operational coastal visibility

CoastalShield helps agencies move from scattered documentation to a shared, storm-ready view of vulnerable coastal segments.