This repository was developed for the purposes of the course in Geospatial Big Data Analytics (GBDA) during my postgraduate programme in Data Science & Machine Learning, NTUA. The course consists of following 6 lab exerices.

• Lab1 - Data retrieval, analysis and timeseries of geospatial products using online platforms. For more details see directory Lab1.

• Lab2 - Geospatial Services and Web applications. See Lab2.

• Lab3 - Classification and segmentation of Hyperspectral Images. See Lab3.

• Lab4 - Video classification with RNN's and Transformers. See Lab4.

• Lab5 - Object detection. See Lab5.

• Lab6 - Applications of deep learning architectures in Earth observation. Available soon!