Elena Andreini developed end-to-end geospatial data pipelines and deep learning models for plastic debris detection in the elena-andreini/TriesteItalyChapter_PlasticDebrisDetection repository. She established a reproducible workflow for ingesting and preprocessing Sentinel-2 satellite imagery, integrating ACOLITE and DVC for data versioning and leveraging Python and PyTorch for model development. Her work included repository scaffolding, cloud storage integration, and robust test data management, enabling scalable experimentation and collaboration. By consolidating data ingestion to NetCDF and refining geospatial metadata handling, Elena improved data quality and model readiness, delivering maintainable pipelines and documented evaluation metrics that support ongoing research and production deployment.
May 2025 monthly summary for TriesteItalyChapter_PlasticDebrisDetection: Delivered end-to-end data ingestion enhancements and model development for satellite debris detection, improving data quality, reproducibility, and readiness for production evaluation. Key improvements reduced data loading fragility and streamlined geospatial processing, while enabling model-ready artifacts and documented performance metrics.
May 2025 monthly summary for TriesteItalyChapter_PlasticDebrisDetection: Delivered end-to-end data ingestion enhancements and model development for satellite debris detection, improving data quality, reproducibility, and readiness for production evaluation. Key improvements reduced data loading fragility and streamlined geospatial processing, while enabling model-ready artifacts and documented performance metrics.
April 2025 focused on delivering reproducible preprocessing, robust data versioning, and scalable test data pipelines for plastic debris detection. Key work included ACOLITE preprocessing workflow (script, environment, and example notebook), DVC/DagsHub integration with a clean remote setup and operation notebooks, and comprehensive test data scaffolding with batch ingestion. Also advanced geospatial accuracy with ACOLITE pipeline v3 patch coordinate fixes and enabled Littern Windrows Catalog uploads to Dagshub, strengthening collaboration and data reliability.
April 2025 focused on delivering reproducible preprocessing, robust data versioning, and scalable test data pipelines for plastic debris detection. Key work included ACOLITE preprocessing workflow (script, environment, and example notebook), DVC/DagsHub integration with a clean remote setup and operation notebooks, and comprehensive test data scaffolding with batch ingestion. Also advanced geospatial accuracy with ACOLITE pipeline v3 patch coordinate fixes and enabled Littern Windrows Catalog uploads to Dagshub, strengthening collaboration and data reliability.
March 2025 highlights for elena-andreini/TriesteItalyChapter_PlasticDebrisDetection. Focused on establishing a scalable foundation for end-to-end plastic debris monitoring using Sentinel-2 imagery, with structured repository setup, documentation, model scaffolding, and data visualization capabilities. This month’s work positions the project for rapid iteration on detection models and data pipelines, while improving onboarding and collaboration.
March 2025 highlights for elena-andreini/TriesteItalyChapter_PlasticDebrisDetection. Focused on establishing a scalable foundation for end-to-end plastic debris monitoring using Sentinel-2 imagery, with structured repository setup, documentation, model scaffolding, and data visualization capabilities. This month’s work positions the project for rapid iteration on detection models and data pipelines, while improving onboarding and collaboration.
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