Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Python package for access to Level-1 SAR Earth Observation products and auxiliary data across multiple formats and missions.

SAR L1 Product Format plugins collection for SCT (SAR Calibration Toolbox).

Master's thesis: Physics-Informed Neural Networks vs. SGP4 for orbit prediction of the SAOCOM-1A satellite under variable solar activity

Scripts for download and manipulate SAR images from SAOCOM mission.

NASA Space App Challenge 2020 in Mendoza, Argentina