Skip to main content

SCT Plugin: Elevation Notch Analysis

PyPI version Python 3.11+ License: MIT

CI

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)

Source distribution for sct-notch-analysis 1.0.0
File Size Uploaded
sct_notch_analysis-1.0.0.tar.gz 11.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sct-notch-analysis 1.0.0
File Interpreter ABI Platform
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 log

Release 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

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page