How to Process Sentinel-2 Data Automatically with Python | Band Extraction & Stacking Tutorial

In this video, we walk through an automated Python script for extracting and processing Sentinel-2 satellite imagery. The script helps you:

Extract zip files containing Sentinel-2 data.
Organize and clean the extracted folder structure.
Select specific bands for analysis (e.g., B02, B03, B04, B08, B12).
Stack the selected bands into a single multi-band image.
Resample bands with different resolutions to a common size.
Save the custom band stack to an output file for further GIS analysis.
If you're working with Sentinel-2 data and want to automate the process, this tutorial is a great starting point. The script uses libraries like zipfile, rasterio, and numpy to handle data efficiently. Make sure to check out the code and try it out for your own satellite image processing!