SAR Calibration Toolbox (SCT)

License: MIT

SAR Calibration Toolbox (SCT) is the official Aresys Python toolbox for SAR quality assessment and data processing. This software provides several features to perform quality analysis of SAR L1 products (both SLC and GRD).

SCT is based on PERSEO (docs), the Aresys modular Python framework for SAR product handling, processing, and analysis. It also integrates plugins using the stevedore library.

SCT provides a comprehensive set of analyses for SAR product quality assessment:

Point Target Analysis — IRF metrics, RCS estimation, localization errors
Radiometric Analysis — NESZ, Rain Forest, Average Elevation Profiles, Scalloping
Interferometric Coherence Analysis — interferometric coherence intensity and histograms
Spectral Analysis — point & distributed target spectral content in frequency domain
Elevation Notch Analysis — antenna pointing estimation
Target Ambiguity Ratio (PTAR/DTAR) — point target and distributed ambiguity ratio computation

Supported input products include:

Sentinel-1 (A/B/C/D) SAFE format
ICEYE
NovaSAR-1
Radarsat-2
Envisat/ERS
SAOCOM
COSMO SkyMed
EOS-04
STRIX

and more through a plugin-based architecture.

Installation

This package is available on PyPI and can be installed with pip:

pip install sct[recommended]

[!IMPORTANT] After installing SCT, install the plugin corresponding to the product format you want to process. The base SCT package does not include any format reader plugins by default.

Documentation

SCT documentation: https://opensource.aresys.it/sct
SCT Product Format Plugins documentation: https://opensource.aresys.it/sct_plugins
SCT Analyses Plugins documentation: https://opensource.aresys.it/sct_plugins_analyses
PERSEO documentation: https://opensource.aresys.it/perseo

Related Repositories

Repository	Description	Documentation
aresys-srl/sct_plugins	SCT input product format plugins	docs
aresys-srl/sct_plugins_analyses	SCT analyses plugins	docs
aresys-srl/perseo	Python Ecosystem for Remote Sensing & Earth Observation	docs

Contributing

Contributions are welcome! If you encounter a bug, have a feature request, or want to contribute code:

Report bugs & request features: open an issue on GitHub. Include a clear description, steps to reproduce, and your environment details.
Submit changes: fork the repository, create a feature branch, and open a pull request. Ensure your code passes the existing linting and test suite.
Questions: use GitHub Discussions for general questions and discussions.

License

This project is licensed under the MIT License.

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