sentle

sentle is a Python package that enables users to download and process Sentinel-1 and Sentinel-2 satellite data cubes efficiently, even for areas larger than available memory. It integrates crucial pre-processing steps directly into its workflow, making it a powerful tool for researchers and developers working with remote sensing data.

The package features integrated cloud detection and snow masking for Sentinel-2 data, ensuring cleaner imagery for analysis. It also supports harmonization, merging Sentinel-1 and Sentinel-2 data, and generating temporal composites, allowing for comprehensive time-series analysis. The processing is designed for parallel execution, leveraging multiple workers to save results incrementally into a specified Zarr store.

Key functionalities include specifying target Coordinate Reference Systems (CRS), spatial and temporal bounds, and output resolutions. It is particularly suited for large-scale applications, with optimal performance for areas greater than 8km in width and height. The project is open-source, available on GitHub, and released under the MIT License, encouraging community contributions and usage.