RADAR INTEGRATION
Phase 2 enhancement combining Satellite InSAR + Ground-Based Radar for 95%+ prediction accuracy
95%+
Accuracy Target
5 min
Update Cycle
1 mm
Precision
Satellite InSAR
Sentinel-1 (ESA)
- Wide-area monitoring
- Works through clouds
- 10–20m resolution
- Millimeter deformation
- Free & open data
Ground-Based Radar
GB-InSAR System
- Minute-scale monitoring
- Millimeter accuracy
- Real-time alerts
- Area-based warning
- High precision
Data Fusion Engine
Multi-Source AI
- Radar + Satellite
- Ground sensors
- 95%+ accuracy
- 3-hour lead time
- Real-time alerts
How Radar Integration Works
1
Satellite Scan
Sentinel-1 captures wide-area deformation every 6–12 days
2
Radar Detection
GB-InSAR monitors high-risk zones every 5 minutes
3
AI Fusion
XGBoost + Deep Learning combines all data sources
4
Instant Alert
Multi-channel alerts within 60 seconds
Implementation Roadmap
✅ 2026 — Prototype (Current)
100%
Local deployment • Synthetic data • Core features working
🔄 2027 — Cloud Deployment + Real Data
45%
Cloud hosting • Sentinel-1 integration • IMD data API
📡 2028 — Satellite InSAR Integration
20%
Weekly deformation maps • 15-day prediction window
📻 2029 — GB-InSAR Ground Radar
0%
High-precision monitoring • 5-min update • mm accuracy
🚀 2030 — Full Pan-India Scale
0%
All Himalayan states • 1000+ monitoring points • 24/7 ops
Expected Impact with Radar
+10%
Accuracy Increase
2x
Lead Time
−50%
False Alarms
10M+
People Protected
Technology Stack for Radar Integration
Data Sources
- Sentinel-1 (ESA Copernicus)
- ALOS-2 PALSAR (JAXA)
- GB-InSAR (Ground-based)
- IMD Rainfall API
AI/ML Models
- XGBoost (primary)
- Random Forest (ensemble)
- LSTM (time-series)
- U-Net (segmentation)
Processing Tools
- ISCE2 (InSAR processing)
- SNAP (ESA toolbox)
- PyRate (time-series)
- GDAL / Rasterio
READY FOR PHASE 2?
Radar integration will transform this system from a reactive tool into a fully predictive disaster prevention platform.