TerraResQ

Inspiration## Inspiration

Floods can damage roads, buildings, and critical infrastructure while isolating entire settlements. I wanted to explore how satellite imagery and AI could help emergency responders understand flood impacts and identify areas that may need urgent attention.

What It Does

TerraResQ — Satellite Intelligence for Flood Response is a geospatial AI platform designed to map flood-affected areas, estimate potential infrastructure impacts, and identify settlements that may be disconnected due to damaged road networks.

How I Built It

I designed TerraResQ around satellite imagery, flood segmentation, geospatial mapping, OpenStreetMap infrastructure data, and road-network connectivity analysis. The platform is intended to combine these components into an interactive dashboard with maps and situation reports.

Challenges I Faced

One of the biggest challenges was bringing satellite imagery, AI-based flood detection, and road-network analysis together into a single workflow. Working with geospatial data and distinguishing a working prototype from reliable real-world predictions also required careful attention.

What I Learned

This project helped me explore the role of AI, computer vision, and geospatial technologies in disaster response. I also learned the importance of data quality, transparent confidence estimates, and clearly communicating model limitations.

Future Scope

I aim to improve TerraResQ by integrating real Sentinel-1 and Sentinel-2 imagery, evaluating flood segmentation on unseen scenes, and improving infrastructure impact and settlement connectivity analysis to support more informed emergency planning.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for TerraResQ

Built With

• analysis
• artificial
• computer
• copy
• data
• express.js
• geospatial
• gis
• imagery
• intelligence
• learning
• machine
• node.js
• openstreetmap
• python
• react
• remote
• satellite
• sensing
• typescript
• vision
• vite