Spot new forest loss from satellite imagery and get alerts for watched areas
Advanced32h2–4
Satellite dataPythonLeaflet
15/20Urban Heat Island Map
Finds the hottest streets and where shade trees would help most.
Advanced48h2–4 people16/20 fit
Build Urban Heat Island Map for city planners and neighbourhood groups in ~48h with 2–4 people. Stack: Python + Satellite data + Leaflet + React.
Why it wins: Striking map visual tied to a concrete action.
Build flow
01 · Problem
Some neighbourhoods are much hotter than others, but nobody knows exactly which streets.
02 · Solution
Combine open satellite land-surface temperature with tree cover to rank streets for planting.
03 · Build
- 1Fetch open temperature tiles
- 2Overlay tree cover
- 3Score streets
- 4Interactive map UI
04 · Demo
Open the city map → hotspots glow red → click one → “plant trees here” card.
MVP checklist
- Heat layer map
- Tree cover overlay
- Priority ranking
- Exportable report
Tech stack
| Tech | Role | |
|---|---|---|
| Python | Backend / scripting | Backend |
| Satellite data | Earth observation data | Data |
| Leaflet | Interactive maps | UI |
| React | Frontend UI | Web |
Reference repos
Open-source projects you can build on. Links checked 2026-10-31.
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