Abstract's details
Open source PySAMOSA SAR Satellite altimetry retracking software
CoAuthors
Event: 2023 Ocean Surface Topography Science Team Meeting
Session: Instrument Processing: Measurement and Retracking
Presentation type: Type Forum only
Contribution: PDF file
Abstract:
We announce the release of the PySAMOSA software framework – the first open source multi-mission SAR altimetry retracking processor. The software is now publicly available on GitHub
https://github.com/floschl/pysamosa
or as an official PyPI package on pypi.org
https://pypi.org/project/pysamosa/
PySAMOSA is a Python-based software for processing open ocean and coastal SAR altimetry waveforms (Level-1b data) from SAR satellite altimetry to measure sea surface heights, wave heights, and wind speed for the oceans and inland waters.
It supports the Sentinel-3 and Sentinel-6 Michael Freilich missions and implements their L1b processing baseline. Furthermore, the coastal retracking algorithms SAMOSA+ [3] and CORAL [1] are implemented for the retracking of coastal altimetry data. In addition, FF-SAR-processed S6-MF data can be retracked using the zero-Doppler beam of the SAMOSA2 model, as validated in [2].
With this release, we contribute to open science supporting the scientific research community. We welcome contributions to PySAMOSA.
[1] Schlembach, F.; Passaro, M.; Dettmering, D.; Bidlot, J.; Seitz, F. Interference-Sensitive Coastal SAR Altimetry Retracking Strategy for Measuring Significant Wave Height. Remote Sensing of Environment 2022, 274, 112968. https://doi.org/10.1016/j.rse.2022.112968.
[2] Schlembach, F.; Ehlers, F.; Kleinherenbrink, M.; Passaro, M.; Dettmering, D.; Seitz, F.; Slobbe, C. Benefits of Fully Focused SAR Altimetry to Coastal Wave Height Estimates: A Case Study in the North Sea. Remote Sensing of Environment 2023, 289, 113517. https://doi.org/10.1016/j.rse.2023.113517.
[3] Dinardo, Salvatore. ‘Techniques and Applications for Satellite SAR Altimetry over Water, Land and Ice’. Dissertation, Technische Universität, 2020. https://tuprints.ulb.tu-darmstadt.de/11343/.
https://github.com/floschl/pysamosa
or as an official PyPI package on pypi.org
https://pypi.org/project/pysamosa/
PySAMOSA is a Python-based software for processing open ocean and coastal SAR altimetry waveforms (Level-1b data) from SAR satellite altimetry to measure sea surface heights, wave heights, and wind speed for the oceans and inland waters.
It supports the Sentinel-3 and Sentinel-6 Michael Freilich missions and implements their L1b processing baseline. Furthermore, the coastal retracking algorithms SAMOSA+ [3] and CORAL [1] are implemented for the retracking of coastal altimetry data. In addition, FF-SAR-processed S6-MF data can be retracked using the zero-Doppler beam of the SAMOSA2 model, as validated in [2].
With this release, we contribute to open science supporting the scientific research community. We welcome contributions to PySAMOSA.
[1] Schlembach, F.; Passaro, M.; Dettmering, D.; Bidlot, J.; Seitz, F. Interference-Sensitive Coastal SAR Altimetry Retracking Strategy for Measuring Significant Wave Height. Remote Sensing of Environment 2022, 274, 112968. https://doi.org/10.1016/j.rse.2022.112968.
[2] Schlembach, F.; Ehlers, F.; Kleinherenbrink, M.; Passaro, M.; Dettmering, D.; Seitz, F.; Slobbe, C. Benefits of Fully Focused SAR Altimetry to Coastal Wave Height Estimates: A Case Study in the North Sea. Remote Sensing of Environment 2023, 289, 113517. https://doi.org/10.1016/j.rse.2023.113517.
[3] Dinardo, Salvatore. ‘Techniques and Applications for Satellite SAR Altimetry over Water, Land and Ice’. Dissertation, Technische Universität, 2020. https://tuprints.ulb.tu-darmstadt.de/11343/.