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AI for Good Innovate for Impact
Use Case 18: Cooling the Concrete Jungle: An AI-Enabled Urban
Heat Island Mitigation Advisor for Sustainable Development� Change 4.2-Climate
Organization: Christ University, Bangalore, India
Country: India
Contact Person(s):
Primary: Satyam Kumar, satyamkumar0905@ outlook .com
Secondary: Priyansha Upadhyay, priyansha.upadhyay1304@ gmail .com
1 Use Case Summary Table
Item Details
Category Climate change and natural disaster
Problem Addressed Urban Heat Island (UHI) effect causing dangerous temperature increases
in cities, leading to health emergencies disproportionately impacting
vulnerable populations
Key Aspects of Solu- - Multi-source data integration (satellite imagery, IoT sensors, socioeco-
tion nomic indicators)
- Advanced AI modeling (GANs, spatiotemporal models, explainable
AI)
- Real-time hotspot prediction
- Interactive scenario modeling
- Policy and cost-benefit analysis
- Equity-prioritized intervention
Technology Artificial Intelligence, Machine Learning, GAN, Spatiotemporal modeling,
Keywords Explainable AI, IoT sensors, Satellite imagery, Real-time analytics, Smart
city infrastructure
Data Availability Mixed (Public weather data, satellite imagery; Private IoT sensor networks)
Metadata (Type of Geospatial, Temporal, Environmental, Demographic, Socioeconomic,
Data) Infrastructure
Model Training and GANs for thermal mapping, spatiotemporal prediction models, ensem-
Fine-Tuning ble and explainable AI for transparent support
Testbeds or Pilot In development, MVP phase currently underway
Deployments
Code repositories GitHub: ITU_heat_island_ai_4_good
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