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Python library to generate Level-2 wind speed products from intermediate Sentinel-1 TOPS SLC-derived products.

Project description

slcwindinversion

pypi travis readthedocs pyup

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)

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

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