SCT Plugin: Elevation Notch Analysis
SCT (SAR Calibration Toolbox) plugin for performing Elevation Notch Analysis on L1 SAR products. Enables antenna mispointing computation from dedicated notch products.
Installation
pip install sct-notch-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
Metadata
Release files for sct-notch-analysis 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sct_notch_analysis-1.0.0.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sct_notch_analysis-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.4 kB
Release files / sct_notch_analysis-1.0.0.tar.gz
| Download URL | sct_notch_analysis-1.0.0.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9a75358690eb269212ca33162fda7bf51e99f8e84bd72199187ab0cbc5d3aba6
|
|
BLAKE2b-256 checksum How to use checksums |
345982b20a545cbfabb6bd4b9caab31514cace899761ece06641e3c34302147d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 1, 2026.
Transparency logRelease files / sct_notch_analysis-1.0.0-py3-none-any.whl
| Download URL | sct_notch_analysis-1.0.0-py3-none-any.whl |
|---|---|
| Size | 11.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5d36b82b573d1db8b8b2370f8f53fe1bd23f1a3fc1c7376e982f565445cdf8ac
|
|
BLAKE2b-256 checksum How to use checksums |
ef5e9805dc7791e86d0918d97d7dbc26c7d8e9ac37b51df896ffaddc2b25829c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 1, 2026.
Transparency log