Sentinel-2 Image Extractor

This script efficiently extracts satellite imagery chips from Sentinel-2 datasets based on given geo-coordinates from a GeoJSON file. The script employs ray for parallel processing, ensuring fast extraction for multiple coordinates and dates. Each image chip is then saved as a JPEG file.

Features

• Parallel Processing: Utilizes the ray library for concurrent extraction.
• GeoJSON Input: Extracts chips based on points provided in a GeoJSON file.
• Dynamic Year Range: Allows extraction for a defined range of years.
• Cloud Cover Filter: Filters out images with cloud cover beyond a set threshold.
• Sentinel-2 Data: Extracts images from Sentinel-2 L2A datasets.

Requirements

• Python 3.x
• ray
• geopandas
• numpy
• osgeo
• loguru
• satsearch
• shapely

Usage

1. Modify the script's years variable to set your desired range of years for extraction.
2. Modify the geojson_file path variable to point to your GeoJSON file.
3. Run the script.

$ python3 chips.py

Troubleshooting

Logging is implemented using the loguru library. Any issues or progress are logged using this. If you encounter issues, refer to the log outputs for more information.

Contribution & Feedback

For any contributions or feedback, please contact the script maintainer or open an issue on the project's GitHub repository https://github.com/tharlestsa/s2-chips.