Articles

A number of descriptive and informative articles, one for each User Scenario, have been written and published on Terradue’s Discuss platform. Each article describes one Jupyter Notebook, or an Application Package CWL, with information regarding the User Scenario(s) in a user-friendly way, its implementation via the Notebook(s) and the generated outputs, as well as links to relevant resources.

Below are the links to all project articles:

• Project Update “AI/ML Enhancement Project - Progress Update”
• User Scenario 1 “Exploratory Data Analysis”
• User Scenario 2 “Labelling EO Data”
• User Scenario 3 “Describing labelled EO data”
• User Scenario 4 “Discovering labelled EO data with STAC”
• User Scenario 5 “Developing a new ML model and tracking with MLflow”
• User Scenario 6 “Training and Inference on a remote machine”
• User Scenario 7 “Describing a trained ML model”
• User Scenario 8 “Reusing an existing pre-trained model”
• User Scenario 9 “Creating a training dataset”
• User Scenario 10 "Discovering, deploying and consuming an ML model".