# SYLVA Project Summary

## 🎯 Mission
To provide operational fire agencies with scientifically-validated, real-time rapid spread forecasting capabilities for Mediterranean forest systems.

## 📊 Key Achievements
- **81-87%** accuracy in rapid spread detection
- **14-22%** improvement over current operational systems
- **60-120 minutes** average early warning lead time
- **213** wildfires validated across 5 countries

## 🔬 Core Innovation
Integration of nine physically-based parameters into a thermodynamic-fuel continuum framework, creating a unified Rapid Spread Index (RSI).

## 🌍 Impact
- 3 civil protection agencies currently in experimental implementation
- Planned expansion to California, Australia, and South Africa (2026-2027)
- Integration with EFFIS and GWIS

## 📈 Next Milestones
1. Real-time data assimilation system (Q2 2026)
2. Ensemble forecasting with 50 members (Q3 2026)
3. Mobile app deployment (Q4 2026)
4. Climate change adaptation module (Q1 2027)

## 🤝 Partners
- Mediterranean Civil Protection Agencies
- European Forest Fire Information System (EFFIS)
- Canadian Forest Service
- European Space Agency

## 📅 Latest Release
**v2.5.5** - February 13, 2026
