Geospatial AI and visualization / May 2025
Oakland Data Explorer
Interactive dashboard for exploring satellite imagery and environmental metrics across Oakland from 2016 to 2024.
Next.js 14 / TypeScript / Tailwind / GCP / Google Earth Engine / Data Visualization
Highlights
- Built temporal controls for imagery comparison, vegetation masks, maps, charts, and city planning analysis.
- Analyzed green density, PM2.5, traffic patterns, and population overlays.
- Won a USF Innovation Summit award and became a prototype for rapid environmental insight.
What I built
- Temporal controls for comparing Oakland satellite imagery from 2016 to 2024.
- Vegetation masks, maps, charts, and planning-oriented environmental views.
- Overlays for green density, PM2.5, traffic patterns, and population data.
Result
The project won a USF Innovation Summit award and became a prototype for rapid environmental insight.