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Early Warning & Monitoring Systems
Continuous risk monitoring using meteorological and remote-sensing data.
Purpose
Notify institutions in advance when critical risk thresholds are exceeded.
Analysis Method
Threshold-based alert rules, time-series anomaly detection and notification infrastructure integration.
Data Sources
- · Weather station data
- · Satellite-based real-time observation
- · IoT sensor data (future)
Outputs
- · Risk monitoring dashboard
- · Automated alert notifications
- · Event history report
Benefits
- · Shorter pre-disaster response time
- · Stronger inter-agency coordination
- · Data-driven early intervention
Sample Use Scenario
A disaster management center wants automated alerts during high wildfire and flood risk periods.
