HeatPilot
AI-Powered Decision Support for Urban Heat MitigationBeta · v1.0
CityPune, Maharashtra
Date29 Jun 2026
SatelliteOnline
Last sync29 Jun 2026 · 10:42 IST
Explainable AI · Decision Support
AI Recommendation Engine
Every recommendation is explained — why this intervention, at this location, with this expected impact and confidence.
Recommended Intervention
Urban Greening
Ward 12 · Shivajinagar
96%
Cooling
−2.8°C
Cost
Medium
Priority
Very High
Reason
- Low NDVI (0.09)
- High Surface Temperature (44.8°C)
- High Built-up Density (78%)
- Low Wind Speed (1.4 m/s)
- Low Tree Cover (8%)
Recommended Intervention
Cool Roofs Programme
Ward 03 · Kasba Peth
92%
Cooling
−2.1°C
Cost
Low
Priority
High
Reason
- Built-up density 82%
- Low albedo rooftops
- Dense low-rise morphology
- Population vulnerability index 0.81
Recommended Intervention
Blue-Green Corridor
Ward 15 · Yerwada (Mula riverside)
94%
Cooling
−3.1°C
Cost
High
Priority
Very High
Reason
- Adjacent water body
- NDVI 0.14
- Wind channel potential
- Existing tree cover gap
Recommended Intervention
Reflective Pavements
Ward 11 · Camp arterial
88%
Cooling
−1.4°C
Cost
Medium
Priority
Medium
Reason
- Road density 19.4 km/km²
- Heat-storing dark asphalt
- High pedestrian exposure
Cost-Benefit Analysis
Intervention catalog across hotspot wards
| Intervention | Expected Cooling | Estimated Cost | ROI | Priority |
|---|---|---|---|---|
| Tree Plantation | −2.7°C | Medium | High | ★★★★★ |
| Cool Roofs | −2.1°C | Low | High | ★★★★ |
| Reflective Pavements | −1.4°C | High | Medium | ★★★ |
| Blue-Green Infrastructure | −3.1°C | High | Very High | ★★★★★ |
| Green Corridors | −2.3°C | Medium | High | ★★★★ |
| Water Body Restoration | −2.6°C | High | High | ★★★★ |