Skip to main content

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

Project description

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-1.0.3.tar.gz (75.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

grdwindinversion-1.0.3-py3-none-any.whl (36.0 kB view details)

Uploaded Python 3

File details

Details for the file grdwindinversion-1.0.3.tar.gz.

File metadata

  • Download URL: grdwindinversion-1.0.3.tar.gz
  • Upload date:
  • Size: 75.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for grdwindinversion-1.0.3.tar.gz
Algorithm Hash digest
SHA256 76e50a00f4a7e5e19647c893d2cc3ab5059b524ac3a5fff3a7e004e83e99ad77
MD5 3cf2ab6a4e0c79ce043be477230224bf
BLAKE2b-256 2e0c19b60ed80c0f2b4644a76a778e8926bc80d2df52301e562fc7d0e9d85811

See more details on using hashes here.

Provenance

The following attestation bundles were made for grdwindinversion-1.0.3.tar.gz:

Publisher: publish.yml on umr-lops/grdwindinversion

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file grdwindinversion-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for grdwindinversion-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 190cb688860535eab5f300f1946e25fa5d485619066491c177427b2012c1b14e
MD5 12968e14c74d0736bd08688292756ed2
BLAKE2b-256 bb44825ebfc44cd6d8d38bad9e7198309d544666fc56b5ae60efba7aec93f99f

See more details on using hashes here.

Provenance

The following attestation bundles were made for grdwindinversion-1.0.3-py3-none-any.whl:

Publisher: publish.yml on umr-lops/grdwindinversion

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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