Skip to main content

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

Project description

grdwindinversion

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grdwindinversion-0.2.3.post8.tar.gz (26.5 kB view details)

Uploaded Source

File details

Details for the file grdwindinversion-0.2.3.post8.tar.gz.

File metadata

File hashes

Hashes for grdwindinversion-0.2.3.post8.tar.gz
Algorithm Hash digest
SHA256 2b978710ed64ddb1d60862edd4ced302db94f135e1aebd9e649966f196b8aef7
MD5 abc7427c6b66c68b0d9f85061d3748d1
BLAKE2b-256 507fa20b2f6bc517ffd9e0070618b7be23e4e882b9c9486e933a980e9d29a59b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page