IndabaX Rwanda Machine Learning for Earth Observation (ML4EO) Workshop
| Topic | Description |
|---|---|
Remote Sensing with Python  |
This first module serves to introduce participants to the Python tools (Xarray, GeoPandas, RasterIO) used for reading and preprocessing remote sensing data in different file formats including GeoTiff and NetCDF |
| Rwanda CropLand Classification |
In this second module, we build on what has been learnt from the first module for a use case that involves cropland classifcation in Rwanda using multispectral earth observation data from Sentinel-2 and Landsat-8 satellites. |