Planning¶
| Session | Topic | Materials |
|---|---|---|
| 1 | Foundations of EO & Computer Vision (sensors, spectral bands, applications) | Session 1 |
| 2 | Multispectral image visualization (RGB, false color composites) | Session 2 |
| 3 | Spectral indices (NDVI, NDWI, EVI) & time series analysis | Session 3 |
| 4 | Raster processing and visualization with Python | Session 4 |
| 5 | Machine learning for land cover classification & change detection (stress, deforestation) | Session 5 |
| 6 | From image analysis to decision support (agriculture & forestry) | Session 6 |
Quick guidelines¶
All submissions must be reproducible
Follow the file naming conventions and folder structure described in the Guidelines page
Code and results must be clearly documented and interpretable