This release is a pre-release and may not be stable for production use.
SCT Plugin: Interferometric Analysis
⚠️ This plugin is still in development and is not yet ready for production use. ⚠️
SCT (SAR Calibration Toolbox) plugin for performing Interferometric Analysis on L1 SAR products. Enables interferometric quality assessment including coherence and phase analysis through SCT.
Installation
pip install sct-interferometric-analysis
SCT is automatically installed as a dependency.
Compatibility
This plugin must be installed in the same Python environment as SCT. Once installed, the plugin is automatically discovered and registered by SCT through its entry-point based plugin system; no additional configuration is required.
Documentation
License
This project is licensed under the MIT License. See the LICENSE.txt file for details.
Copyright © 2026-present Aresys S.r.l. info@aresys.it
3 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sct_interferometric_analysis-1.0.0.dev0.tar.gz.
File metadata
- Download URL: sct_interferometric_analysis-1.0.0.dev0.tar.gz
- Upload date:
- Size: 12.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
pdm/2.28.2 CPython/3.12.8 Windows/11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ac80641b944b9120289d8fa9f2e4eff8baf79244421478b4b145c8984efcce8
|
|
| MD5 |
2c2b8be2d8de76e15da6362940b2feda
|
|
| BLAKE2b-256 |
760edffe4ae463fa56a72e154cdeb5dd3724d6acea6aa77436ba1d76d7286755
|
File details
Details for the file sct_interferometric_analysis-1.0.0.dev0-py3-none-any.whl.
File metadata
- Download URL: sct_interferometric_analysis-1.0.0.dev0-py3-none-any.whl
- Upload date:
- Size: 12.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
pdm/2.28.2 CPython/3.12.8 Windows/11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ee47a4bd9553e12890ee0168a74d191686fae9b675f5b962c3c18e38f370c828
|
|
| MD5 |
56ab34c3d949caae41ac59da69dd8ced
|
|
| BLAKE2b-256 |
f2c3598d1a5b54b969240464fa9a3785a3b0f0faf465d765aeb46cfe312f9984
|
