🌆 Urban Heat Island Index Prediction

Using Satellite & Weather Data with Machine Learning
🚀 Streamlit Web App | 🌍 NYC Data | 🤖 Random Forest Model

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🌍 Overview

This project predicts the Urban Heat Island (UHI) Index for New York City (NYC) using a Random Forest Model trained on:
✅ Satellite Imagery (Sentinel-2 & Landsat-8)
✅ Weather Data (Temperature, Humidity, Wind Speed)
✅ Building Footprints (Urban structure & land use)

🔹 Users can click on a map to get a UHI prediction.
🔹 Predictions are categorized as High / Moderate / Low based on training data.

📌 Live Demo

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🖥️ How to Use

You have two options to run this application:

1️⃣ Use the Hosted App on Azure (Recommended)

Simply visit https://uhi-app.azurewebsites.net to start predicting the UHI index!

2️⃣ Build & Run the App Using Docker

If you prefer to run the app locally using Docker, follow these steps:

Step 1: Clone the Repository

git clone https://github.com/margotgeerts/uhi-app.git
cd uhi-app

Step 2: Build the Docker Image

docker build -t uhi-app .

Step 3: Run the Container

docker run -p 8501:8501 uhi-app

The app will be available at http://localhost:8501 🎉.

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📊 Model Details

• Algorithm: Random Forest Regressor
• Training Data:
  🔹 Sentinel-2 & Landsat-8 (NDVI, LST, Albedo)
  🔹 NYC Weather Data (Temp, Humidity, Wind, Precipitation)
  🔹 NYC Building Footprints (Density, Height, Coverage)
• Prediction Output:
  🔹 UHI Index (Numerical Value)
  🔹 Risk Category (High / Moderate / Low)

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🚀 Deployment & CI/CD

This project is deployed on Azure App Service using Docker and GitHub Actions for automated deployment.

• Dockerized Streamlit app pushed to GitHub Container Registry (GHCR)
• GitHub Actions automates the build & deployment process
• Azure App Service pulls the latest image and serves the app

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📬 Questions or Issues?

• Open an issue on GitHub
• Reach out via email or LinkedIn

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📌 Summary

✅ Streamlit App in Docker
✅ Predicts UHI Index using ML & Satellite Data
✅ Docker Image pushed to GHCR Registry
✅ Deployed on Azure
✅ CI/CD with GitHub Actions