DLR/ESA open PolinSAR training course Dataset
<h1>PySARPRO Dataset for DLR/ESA Open PolinSAR Training Course</h1> <h2>Description:</h2> <p>This dataset is part of the DLR/ESA Open PolinSAR training course and contains various types of Synthetic Aperture Radar (SAR) data processed using the PySARPRO Python library. The dataset includes SAR data in different modalities, such as defocused SAR (SAT), Interferometric SAR (InSAR), Polarimetric SAR (PolSAR), Polarimetric Interferometric SAR (PolInSAR), and Tomographic SAR (TomoSAR).</p> <p> </p> <p>GitHub: [PySARPro](https://github.com/Pol-InSAR/pysarpro.git)</p> <h2>Citation:</h2> <p>If you use this dataset in your research, please cite the following:</p> <p>[](https://doi.org/10.5281/zenodo.10797182)</p> <p> </p> <h2>Contents:</h2> <ol> <li><strong>SAT Data Defocused</strong>: </li> <li><strong>InSAR Data</strong>:</li> <li><strong>PolSAR Data</strong>: </li> <li><strong>PolInSAR Data</strong>: </li> <li><strong>TomoSAR Data</strong>: </li> <li><strong>DInSAR Data</strong>: </li> </ol> <h2>Data Format:</h2> <p>The data is provided in standard formats compatible with the PySARPRO library and can be readily imported and downloaded for analysis.</p> <h2>Acknowledgments:</h2> <p>We would like to acknowledge the support of DLR (German Aerospace Center) and ESA (European Space Agency) for providing the data and resources necessary for this training course.</p> <h2>Contact:</h2> <p>For inquiries about the dataset, please contact Islam Mansour at islam.mansour@dlr.de .</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- March 7, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.10797181
Scored with release 0.9.0
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