WiSe 23/24: PC-S - Introduction to Advanced Geodata
Marion Stellmes, Klaus-Michael Aye
Additional information / Pre-requisites
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Qualification objectives: The students have advanced knowledge of current methods for the automated processing and analysis of remote sensing data. They can independently formulate current questions from the field of planetary sciences and work on them in a group with the help of subject-specific software and an applied programming language and present the results in a professional manner.
Contents: The students learn current procedures from the field of geodata processing. These include, for example, procedures for deriving and processing specific parameters (e.g. by analysing multispectral and hyperspectral data and their intersection). This also includes methods for Big Data processing and possible applications as well as an introduction to various machine learning approaches, including their theoretical foundations, practical application as well as evaluation of various algorithms (e.g. Random Forest, Support Vector Machines, Neural Networks). The contents of the module are derived in group work based on a specific problem. The students prepare the theoretical basics in presentations. With the help of common software packages and applied programming languages, these methods are practically implemented and learned. Students discuss concepts and progress of the group projects, incl. short presentations.
close15 Class schedule
Regular appointments