DigitalTwin: Climate Resilience Urban Mapping
Simulating heat islands and floods for urban sustainability.
Project Profile
Technologies
This project features automated end-to-end regression runs checking auth flows, payment syncs, and telemetry channels prior to production release.
01 / The Challenge
City planners struggle to predict the visual and thermal impact of heat resilience measures or flood scenarios without slow, expensive mainframe modeling.
02 / Our Solution
We combined Cesium.js, Deck.gl, and Turf.js to render a 3D city twin of Torrevieja. We integrated Landsat heat index layers and developed real-time AI-driven simulation algorithms to project cool-roof scenarios, microclimate heat impacts, and pedestrian routing live on the client.
03 / System Outcome
The Torrevieja Digital Twin was deployed to help city planners run AI-driven thermal and flood simulation scenarios, cutting modeling run times from days to milliseconds and significantly reducing planning costs.
System Architecture & Data Flow
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