https://github.com/johntruckenbrodt/pyroSAR

framework for large-scale SAR satellite data processing
https://github.com/johntruckenbrodt/pyroSAR

earth-observation gdal python radar remote-sensing sar sar-satellite-data satellite-data snap spatialite

Last synced: about 2 months ago
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framework for large-scale SAR satellite data processing

• Host: GitHub
• URL: https://github.com/johntruckenbrodt/pyroSAR
• Owner: johntruckenbrodt
• License: mit
• Created: 2017-06-27T13:48:33.000Z (about 7 years ago)
• Default Branch: main
• Last Pushed: 2024-05-17T12:13:37.000Z (4 months ago)
• Last Synced: 2024-06-11T19:51:45.132Z (3 months ago)
• Topics: earth-observation, gdal, python, radar, remote-sensing, sar, sar-satellite-data, satellite-data, snap, spatialite
• Language: Python
• Homepage:
• Size: 28.2 MB
• Stars: 487
• Watchers: 18
• Forks: 110
• Open Issues: 42
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome-robotic-tooling - pyroSAR - Framework for large-scale SAR satellite data processing. (Sensor Processing / Radar Processing)

README

        


  


  pyroSAR



A Python Framework for Large-Scale SAR Satellite Data Processing




  

    

  

    

  

    

  

    

  

    



The pyroSAR package aims at providing a complete solution for the scalable organization and processing of SAR satellite data:

* Reading of data from various past and present satellite missions

* Handling of acquisition metadata

* User-friendly access to processing utilities in [SNAP](https://step.esa.int/main/toolboxes/snap/) 

and [GAMMA Remote Sensing](https://www.gamma-rs.ch/) software

* Formatting of the preprocessed data for further analysis

* Export to Data Cube solutions

Head on over to [readthedocs](https://pyrosar.readthedocs.io/en/latest/?badge=latest) for installation instructions,

examples and API reference.