In the part 2 of Stage_D Hamoye summer internship project, we built artificial intelligence algorithms to label satellite image chips with different atmospheric conditions and the different classes of land cover/land use. For this Multi-class Multi-Label problem, some of the labels are from the following categories:
- Cloud Cover (clear, partly, cloudy, haze)
- Primary RainForest, Water (rivers, lakes)
- Habitation (large city, small homes)
- Agriculture,
- Roads etc.
The algorithms from this project will enable us to understand where, how and why deforestation happens.
