Automated Machine Learning for applications in Earth Observation

Kurzfassung

With an ever-growing amount of Remote Sensing data becoming publicly accessible, the demand for reliable decision-making models tailored to these applications is rising. In this cumulative thesis, I present contributions on the topics of explainable, efficient, and accessible automated machine learning to help address this demand in earth observation-related applications.