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πŸ“ Phoenix, AZ πŸ›°οΈ Remote Sensing πŸ—ΊοΈ GIS Analysis

Urban Heat Vulnerability β€” Phoenix, AZ

This project examines neighborhood-level vulnerability to extreme heat in Phoenix. It combines environmental indicators (land surface temperature and NDVI) with demographic factors to identify communities that may face higher exposure and risk.

Key Questions

  • Which neighborhoods show the highest heat exposure?
  • How does vegetation (NDVI) relate to surface temperature patterns?
  • Which communities appear more vulnerable based on demographic context?

Approach

The workflow integrates land surface temperature (Landsat), NDVI (vegetation index), and census-derived demographic measures. Spatial joins and zonal statistics help summarize patterns at neighborhood or tract scale for comparison and communication.

🌐 Open StoryMap

Data & Methods

  • πŸ›°οΈ Land Surface Temperature (Landsat)
  • 🌿 NDVI (Vegetation Index)
  • 🏘️ U.S. Census demographic data
  • 🧭 Spatial joins + zonal statistics
  • πŸ“Š Interpretation for planning + public health

Outcome

The results highlight spatial inequities and support clearer decision-making for heat resilience, urban planning, and community health strategies.