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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: 4 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 (over 7 years ago)
- Default Branch: main
- Last Pushed: 2024-05-17T12:13:37.000Z (9 months ago)
- Last Synced: 2024-06-11T19:51:45.132Z (8 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
pyroSARA 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 solutionsHead on over to [readthedocs](https://pyrosar.readthedocs.io/en/latest/?badge=latest) for installation instructions,
examples and API reference.