<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.

PyroSAR

Install / Use

README