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Urban Heat Island Analysis

Sample project

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Sample cover: heat surface

Landsat Google Earth Engine Land Surface Temperature Python

Overview

Sample description: map land surface temperature across a city and relate hotter zones to land cover, to show where cooling measures would help most.

Study Area: [City or region]
Duration: [Start – End]
Role: [Solo project / Team]
Status: Sample


Methods & Tools

Processing Steps

  1. Collect and cloud-mask satellite imagery for the summer period.
  2. Derive land surface temperature and a vegetation index.
  3. Classify land cover and compare temperature across classes.
  4. Map hotspots and summarise findings.

Tools Used

  • Google Earth Engine — image collection and processing
  • Python — statistics and charts
  • QGIS — final map layout

Key Findings

  • [Finding one — add a number or metric]
  • [Finding two]
  • [Finding three]

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