Python library to generate Level-2 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
File details
Details for the file slcwindinversion-2024.2.post1.tar.gz
.
File metadata
- Download URL: slcwindinversion-2024.2.post1.tar.gz
- Upload date:
- Size: 16.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fb80c864f35d6416388eaf87f691493fa870adbd40d9b48d5c9818d61e23a9a2 |
|
MD5 | 92c67630be5aa4ef185faa3c7bb0cac4 |
|
BLAKE2b-256 | 7d2d20c61d2a7ded6edd09251b6a81250ee8177e47e60d7a9e71c1dfd938ebb5 |