JupyterGIS Wetland ML Classification Demo - ESA EOPF
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Earth observation
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JupyterGIS Annotation Document
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description: Interactive map with expert annotations for model corrections
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Anne Fouilloux
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EOPF Sample Service
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description: ESA Earth Observation Processing Framework for Sentinel-1, 2 and 3 data access
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GitHub Repository
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JupyterGIS
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Conda Environment
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Wetland ML Demo Notebook
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date created: 2025-12-21 16:28:59.461288+00:00
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description: Main Jupyter notebook implementing the wetland classification workflow
license: no-permission
sd date published: 2025-12-21 16:28:59.461288+00:00

Wetland_ML_ROhub
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sd date published: 2025-12-21 16:41:18.541514+00:00

Expert Corrections (GeoJSON)
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description: Expert corrections extracted from JupyterGIS annotations
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Sentinel-2 RGB Composite (COG)
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Trained Model v2 (joblib)
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description: Serialized Random Forest model retrained with expert corrections
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sd date published: 2025-12-21 16:29:27.413086+00:00

Wetland Prediction v1
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date created: 2025-12-21 16:29:06.069310+00:00
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description: Initial Random Forest classification - before expert corrections
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sd date published: 2025-12-21 16:29:06.069310+00:00

Wetland Prediction v2 (Corrected)
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date created: 2025-12-21 16:29:16.556974+00:00
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description: Improved classification after retraining with expert corrections
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sd date published: 2025-12-21 16:29:16.556974+00:00

JupyterGIS Wetland ML Classification Demo - ESA EOPF
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date created: 2025-12-21 16:28:47.782517+00:00
date modified: 2026-04-11 03:23:09.225173+00:00
date published: 2025-12-21 16:28:47.782517+00:00
description: Human-in-the-loop machine learning workflow for wetland classification using Sentinel-2 data from ESA EOPF. Demonstrates collaborative annotation using JupyterGIS, model retraining with expert corrections, and FAIR research practices.
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cite-as: Fouilloux, Anne. "JupyterGIS Wetland ML Classification Demo - ESA EOPF." ROHub. Dec 21 ,2025. https://w3id.org/ro-id/10dc322d-eedd-43ff-a4af-7adb6281cb6e.

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JupyterGIS Wetland ML Classification Demo - ESA EOPF Human-in-the-loop machine learning workflow for wetland classification using Sentinel-2 data from ESA EOPF.
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Demonstrates collaborative annotation using JupyterGIS, model retraining with expert corrections, and FAIR research practices.
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