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NDVI Calculation on ISS - AstroPi2021 Project

Overview

This project calculates the Normalized Difference Vegetation Index (NDVI) from images captured by a Raspberry Pi camera on the International Space Station (ISS) as part of the AstroPi contest. NDVI helps in assessing vegetation health on Earth.

Key Features

  • Captures images from the ISS using a Raspberry Pi camera.
  • Calculates NDVI to evaluate vegetation health.
  • Uses Python, OpenCV, and matplotlib for processing and analysis.

How It Works

  1. Capture Images: Uses a Raspberry Pi camera to take pictures from the ISS.
  2. Calculate NDVI: Applies NDVI calculation on the captured images to determine vegetation health.
  3. Display Results: Shows the NDVI results using a color map to represent vegetation health.

Technologies Used

  • Raspberry Pi
  • Python
  • PiCamera
  • OpenCV
  • matplotlib

Note

This project is for educational purposes as part of our high school science and technology curriculum.

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