https://github.com/umr-lops/grdwindinversion
python library to compute wind speed from GRD SAR images
https://github.com/umr-lops/grdwindinversion
grd level-1 ocean processor radar satellite u10 v10 windspeed
Last synced: 24 days ago
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python library to compute wind speed from GRD SAR images
- Host: GitHub
- URL: https://github.com/umr-lops/grdwindinversion
- Owner: umr-lops
- License: mit
- Created: 2023-06-23T07:34:33.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-01-13T03:56:04.000Z (about 1 month ago)
- Last Synced: 2026-01-13T06:51:20.574Z (about 1 month ago)
- Topics: grd, level-1, ocean, processor, radar, satellite, u10, v10, windspeed
- Language: Python
- Homepage: https://cerweb.ifremer.fr/datarmor/doc_sphinx/grdwindinversion/index.html
- Size: 4.36 MB
- Stars: 13
- Watchers: 3
- Forks: 1
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Authors: AUTHORS.rst
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README
[](https://pypi.org/project/grdwindinversion/)
[](https://github.com/umr-lops/grdwindinversion/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)
Package to perform Wind inversion from GRD Level-1 SAR images
- Free software: MIT license
- Documentation: https://cerweb.ifremer.fr/datarmor/doc_sphinx/grdwindinversion/index.html.
## Usage
```python
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