Building capacity to integrate Machine Learning (ML) and Satellite Imagery for Climate Change Monitoring and Disaster Preparedness.
| Date | Tutorial |
|---|---|
| 14/11/2024 | Lesson 1A: Intro to Selecting and Processing Raster Data |
| 28/11/2024 | Lesson 1A: Intro to Selecting and Processing Raster Data (continued) |
| 05/12/2024 | Lesson 1B: Land Use / Land Cover Segmentation Using Sentinel-2 and Random Forest |
| 26/03/2025 | Lesson 1C: Segmentation workflow using PyTorch for flood and water mask detection |
| 08/05/2025 | Lesson 1D: Road segmentation |
| 19/06/2025 | Lesson 1E: Full country Land Use / Land Cover Segmentation Using GeoMedian Composite Sentinel-2 and GPU-accelerated Random Forest |
| 11/08/2025 | Lesson 2A: Coastal changes |
| 11/08/2025 | Lesson 2B: Assessing Flood Risk from Past Weather |
| 12/08/2025 | Lesson 2C: Climate indicators |
| 12/08/2025 | Lesson 2C (continued): Marine heat waves |
| 12/08/2025 | Lesson 2D: Coral reef mapping |
| 13/08/2025 | Lesson 2E: Soil health |
Launch on Digital Earth Pacific Analytics Hub.
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