Open Data Science Europe Workshop 2021

Software requirements: opengeohub/py-geo docker image (gdal, rasterio, eumap, scikit-learn)
Content:
Theoretical background for Ensemble ML and python implementations
General concepts and main advantages of spatiotemporal machine learning
Why use LandMapper?
Spacetime overlay to prepare the training samples
Spacetime cross-validation to evaluate the EML model performance
Hyperparameter optimization to tune the EML model
Fitting the final EML model
Generating spatial predictions using the fitted model