A mobile urban environmental intelligence view combining 3D city context, PM2.5 exposure, tree canopy, park access, impervious surface, and greening scenario indicators.
1/4
CityCanopy Urban Intel
Mobile environmental mapping for air quality, tree canopy, park access, walkability, and urban greening scenarios.
Year
2025
Duration
2 months
Location
New York, United States
Surfaces
mobileStack
Architecture
Mapping
Code
AI
Conceptual application work, created with the listed platforms and APIs and tested across the indicated surfaces.
Details
Built as a mobile-first environmental planning tool for comparing neighborhood exposure, green infrastructure, and public-space access at block scale.
Combines PM2.5, NO2, air-quality trends, tree canopy, impervious surface, heat exposure, and park access into a single spatial intelligence workflow.
Uses 3D city context and high-contrast environmental overlays to make exposure patterns visible without hiding streets, parks, or neighborhood boundaries.
Supports neighborhood detail popups with selected-area metrics, nearby park context, canopy percentages, exposure scores, and local trend indicators.
Includes park access analysis for 10-minute walk coverage, population served, shade score, and equity-oriented planning review.
Includes greening scenario workflows for proposed trees, pocket parks, park expansion, green corridors, and projected environmental improvements.
Uses AI-assisted planning summaries to identify priority blocks, explain exposure drivers, and recommend interventions with the highest likely impact.
Designed for community presentations, planning analysis, and field review where environmental data needs to be understandable on a phone.
Balances analytical density with a polished map interface so stakeholders can move from regional exposure to specific intervention ideas quickly.