Awesome
<h1 align="center"> <br> <a>pyroSAR</a> </h1> <h3 align="center">A Python Framework for Large-Scale SAR Satellite Data Processing</h3> <p align="center"> <a href='https://github.com/johntruckenbrodt/pyroSAR/actions/workflows/conda-install.yml'> <img src='https://github.com/johntruckenbrodt/pyroSAR/actions/workflows/conda-install.yml/badge.svg' alt='Conda Build Status'></a> <a href='https://coveralls.io/github/johntruckenbrodt/pyroSAR?branch=main'> <img src='https://coveralls.io/repos/github/johntruckenbrodt/pyroSAR/badge.svg?branch=main' alt='Coveralls Status' /></a> <a href='https://pyrosar.readthedocs.io/en/latest/?badge=latest'> <img src='https://readthedocs.org/projects/pyrosar/badge/?version=latest' alt='Documentation Status' /></a> <a href='https://badge.fury.io/py/pyroSAR'> <img src='https://badge.fury.io/py/pyroSAR.svg' alt='PyPI Status' /></a> <a href='https://anaconda.org/conda-forge/pyrosar'> <img src='https://img.shields.io/conda/vn/conda-forge/pyrosar.svg' alt='Conda-Forge Status' /></a> </p>The pyroSAR package aims at providing a complete solution for the scalable organization and processing of SAR satellite data:
- Reading of data from various past and present satellite missions
- Handling of acquisition metadata
- User-friendly access to processing utilities in SNAP and GAMMA Remote Sensing software
- Formatting of the preprocessed data for further analysis
- Export to Data Cube solutions
Head on over to readthedocs for installation instructions, examples and API reference.