Luka Antonić

Workshop room 1 - C221 Spatial referencing basics Reading/writing raster datasets Reading/writing vector datasets Accessing Geo-harmonizer datasets with eumap Space and spacetime overlay Working with dataset time-series Visualizing results

Workshop room 1 - C221 Brief explanation of the general concept of deep learning and CNNs Writing a simple CNN from scratch and testing it on an easy geo-classification task Using a predefined CNN architecture to perform land cover classification in Prague Introduction to a deep learning quest that continues throughout the rest of the workshop week (optional) A small competition will have been kicked off during the "Geospatial deep learning in Python" training session (Day 1, Track 1) prepared by Luka Antonic, Ondrej Pesek and Martijn Witjes. Here, near the end of the conference, results will be looked at, winners will be announced and prizes will be given by the team.