Sara Hajbane developed end-to-end data pipelines for plastic debris detection in the TriesteItalyChapter_PlasticDebrisDetection repository, focusing on satellite imagery processing and reproducible workflows. She engineered robust image extraction and batch processing systems using Python, Jupyter Notebooks, and Pandas, integrating Sentinel Hub and Copernicus Data Space Ecosystem APIs for scalable data collection and preprocessing. Her work included atmospheric correction with ACOLITE, cloud masking, and NetCDF-based workflows to support environmental monitoring. Sara implemented data version control with DVC and streamlined Kaggle-ready data packaging, ensuring reliable model validation and reporting. The solutions demonstrated strong code organization and addressed both data governance and collaboration needs.
May 2025 performance highlights focused on robust data governance for model testing, pipeline reliability for debris detection in satellite imagery, and streamlined data collection reporting and Kaggle submissions. Key deliverables include DVC updates for new test data batches, satellite imagery processing enhancements (debris detection, cloud masking, visualization), and improved data artifact handling, enabling faster model validation and cleaner data workflows.
May 2025 performance highlights focused on robust data governance for model testing, pipeline reliability for debris detection in satellite imagery, and streamlined data collection reporting and Kaggle submissions. Key deliverables include DVC updates for new test data batches, satellite imagery processing enhancements (debris detection, cloud masking, visualization), and improved data artifact handling, enabling faster model validation and cleaner data workflows.
April 2025: End-to-end enhancements to the TriesteItalyChapter_PlasticDebrisDetection pipeline focused on robust image extraction, Kaggle-ready data packaging, and repository organization to accelerate reproducibility and business insights.
April 2025: End-to-end enhancements to the TriesteItalyChapter_PlasticDebrisDetection pipeline focused on robust image extraction, Kaggle-ready data packaging, and repository organization to accelerate reproducibility and business insights.
2025-03 Monthly summary: Delivered end-to-end data collection and processing workflows for plastic debris detection in the Trieste Italy chapter. The work focused on delivering business value through accessible, reproducible data pipelines, robust documentation, and ready-to-run notebook workflows for coastal pollution monitoring. Key outputs include enhanced literature search documentation, notebook-based Sentinel-2 data workflows, NetCDF-based processing for marine debris, process-focused cleaning/preprocessing enhancements, and ACOLITE atmospheric correction setup. While no explicit major bugs were reported this month, stability improvements and dependency updates were completed to support ongoing research and collaboration.
2025-03 Monthly summary: Delivered end-to-end data collection and processing workflows for plastic debris detection in the Trieste Italy chapter. The work focused on delivering business value through accessible, reproducible data pipelines, robust documentation, and ready-to-run notebook workflows for coastal pollution monitoring. Key outputs include enhanced literature search documentation, notebook-based Sentinel-2 data workflows, NetCDF-based processing for marine debris, process-focused cleaning/preprocessing enhancements, and ACOLITE atmospheric correction setup. While no explicit major bugs were reported this month, stability improvements and dependency updates were completed to support ongoing research and collaboration.
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