Session 4 — Raster processing and visualization with Python

Preamble¶

• Tools: Python, Jupyter Notebook, rasterio, matplotlib

• Data: Sentinel-2 sample images (same dataset as Sessions 2 and 3)

• Goal: read, inspect, visualize and process raster data in Python.

Learning Objectives¶

By the end of this session, students will be able to:

• Read raster data in Python using rasterio

• Display key raster properties (CRS, dimensions, resolution, dtype, NoData)

• Visualize spectral bands and RGB composites with matplotlib

• Compute NDVI from Sentinel-2 bands

• Save a new raster file from Python

Course Material¶

Python environment¶

We recommend creating the following course environment with Conda:

📥 environment.yml

Windows / Linux / macOS

Open a terminal (or Anaconda Prompt on Windows) and run:

conda env create -f environment.yml

Then activate the environment:

conda activate eo-cv-course

Notebook¶

📓 Jupyter Notebook:
📥 Download the notebook

If you encounter difficulties installing the Python environment locally, you can run the notebook directly in Google Colab:

Dataset¶

📂 Labworks data:
📥 session_1_data.zip