We at Solafune are always working to find new uses for satellite data. Our work is impossible without using open-source software, starting from Python to geospatial packages like Xarray, Folium, PySTAC or machine learning packages like scikit-learn and PyTorch. We want to give back to the OSS movement by open-sourcing our internal data management and indexing software called solafune_tools under an MIT license.

In summary, the current capabilities of this package are:

1. creating cloudless singleband/multiband basemaps from Sentinel-2 data (through the Planetary Computer repository) for an area and date range of interest

2. breaking up the basemap into tiles

3. indexing of basemap tiles into a STAC catalog and load up as a GeoPandas GeoDataFrame for spatial querying

You can see the source code and documentation here: https://github.com/Solafune-Inc/solafune-tools

Installation is very simple:

pip install solafune_tools

We welcome feedback, new feature suggestions or pull requests. The package is still at an early stage (release 0.2), and we hope that by building it in the open, more eyes are on the code, bugs or bad design decisions are caught quicker and we are able to build a better product that is more widely used.

We hope that others may find new uses for this package in their own work.

The maintainer of this package can be reached at pushkar.kopparla@solafune.com