Skip to main content

Python Version Dependencies Status

Package to perform Wind inversion from GRD Level-1 SAR images

Usage

   SAR_L1-to-L2_wind_processor -h
   usage: SAR_L1-to-L2_wind_processor [-h] --input_file INPUT_FILE [--config_file CONFIG_FILE] --outputdir OUTPUTDIR [--verbose] [--overwrite]

   Perform inversion from S1(L1-GRD) SAFE, L1-RCM, L1-RS2 ; using xsar/xsarsea tools

   options:
     -h, --help            show this help message and exit
     --input_file INPUT_FILE
                           input file path
     --config_file CONFIG_FILE
                           config file path [if not provided will take config file based on input file]
     --outputdir OUTPUTDIR
     --verbose
     --overwrite           overwrite existing .nc files [default is False]

Features

This Python library (based on xarray) allows to perform wind inversion from level-1 GRD (projected magnitude image). Mission supported:

  • Sentinel-1
  • RCM
  • RadarSat-2

Metadata

Release files for grdwindinversion 1.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for grdwindinversion 1.0.4
File Size Uploaded
grdwindinversion-1.0.4.tar.gz 75.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for grdwindinversion 1.0.4
File Interpreter ABI Platform
grdwindinversion-1.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 111.7 kB

Release files / grdwindinversion-1.0.4.tar.gz

Download URL grdwindinversion-1.0.4.tar.gz
Size 75.6 kB
Tags Source
SHA-256 checksum
How to use checksums
6a0994008a126981bc3211414bda592247a2f1e4a81c333a57881b149088c482
BLAKE2b-256 checksum
How to use checksums
41a8daab7ce0871c906365405690c70f6148e42f45fceb7d0128c2331273245a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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 Aug 31, 2026.

Transparency log

Release files / grdwindinversion-1.0.4-py3-none-any.whl

Download URL grdwindinversion-1.0.4-py3-none-any.whl
Size 36.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
12d186616f184aff7b1837c754178cc9d45cefb892bac2b3d5a33555c6729f5e
BLAKE2b-256 checksum
How to use checksums
d46d9903ce1d891d21e8487d67105d711725714cd0e94e48b8b868597c82db80
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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 Aug 31, 2026.

Transparency log
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