Python library to generate L2A wind speed products from intermediate Sentinel-1 TOPS SLC-derived products.
Project description
slcwindinversion
Python library to generate L2A wind speed products from intermediate Sentinel-1 TOPS SLC-derived products.
This library based on xarray
is providing wind speed retrievals from NRCS (Normalized Radar Cross Section) coming from C-band SAR images.
In particular the wind can be estimated from:
- VV channel
- HH channel
- VH channel
- HV channel
- combination of co and cross-pol channels (e.g. VV+VH)
- Free software: MIT license
- Documentation: https://slcwindinversion.readthedocs.io.
Installation
pip install git+https://github.com/umr-lops/slcwindinversion
Features
slcwindinversion -h
:
usage: slcwindinversion [-h] [--verbose] [--overwrite] --inputsafe INPUTSAFE --outputdir OUTPUTDIR --version VERSION [--dev]
L2AwindspeedProduction
options:
-h, --help show this help message and exit
--verbose
--overwrite overwrite the existing outputs [default=False]
--inputsafe INPUTSAFE
safe product full path to use as input
--outputdir OUTPUTDIR
directory where to store output netCDF files
--version VERSION set the output product version (e.g. 1.4)
--dev dev mode stops the computation early
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Close
Hashes for slcwindinversion-2023.10.post3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 23072dc836de5ddfe77bf875345af0bb04d896c8ee7aa6380bbba2ccea3e9dc7 |
|
MD5 | 80673966b61c89584861ad387f63ff1f |
|
BLAKE2b-256 | 7013a161be4481bd7c4d5ca4af87f235cd5c8323fd96ddb4c721861b0bed3d39 |