Interactive map with expert annotations for model corrections
ESA Earth Observation Processing Framework for Sentinel-1, 2 and 3 data access
Collaborative GIS environment for Jupyter - required to open .jGIS files
Conda environment specification with all Python dependencies
Main Jupyter notebook implementing the wetland classification workflow
Jupyter notebook to create a RO-Crate in ROHub
Expert corrections extracted from JupyterGIS annotations
Cloud Optimized GeoTIFF - RGB composite from Sentinel-2 L2A
Serialized Random Forest model retrained with expert corrections
Initial Random Forest classification - before expert corrections
Improved classification after retraining with expert corrections
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.
JupyterGIS Wetland ML Classification Demo - ESA EOPF
Fouilloux, Anne. "JupyterGIS Wetland ML Classification Demo - ESA EOPF." ROHub. Dec 21 ,2025. https://w3id.org/ro-id/10dc322d-eedd-43ff-a4af-7adb6281cb6e.
Science and technology/Technology and engineering/IT-computer sciences
Environment/Natural resources/Water/Wetlands
Other Commerce, Management, Tourism and Services
JupyterGIS Wetland ML Classification Demo - ESA EOPF Human-in-the-loop machine learning workflow for wetland classification using Sentinel-2 data from ESA EOPF.
JupyterGIS Wetland ML Classification Demo
Institutional: Government policies and programs
Other Agricultural and Veterinary Sciences
Other Studies in Creative Arts and Writing
Biodiversity: state of habitats and species
Commerce, Management, Tourism and Services
Artifical Intelligence and Image Processing
Other Information and Computing Sciences
Labour/Employment/Employment training/Retraining
Demonstrates collaborative annotation using JupyterGIS, model retraining with expert corrections, and FAIR research practices.
Mathematical and computer sciences (general)