Fernerkundung für Anwendungen in der Umweltbeobachtung

What it is about

You will learn methods and data of remote sensing used in environmental monitoring and in monitoring climate change impacts and natural hazards. In the end you will be able to explain important Earth observation missions, properties of various remote sensing time series, and basics of topographic 3D/4D point clouds, as well as perform analyses, classification and change detection on remote sensing data and adapt them to environmental questions.

What you will be able to do

• name important remote sensing systems and datasets
• explain basics of topographic data, especially time series and 4D
• characterize properties as well as advantages and disadvantages of different remote sensing time series
• identify methods of classification and time series analysis of remote sensing data
• distinguish applicability of methods for different questions
• perform analyses on remote sensing time series for application examples
• adapt analysis methods and workflows for environmental monitoring

What the module consists of

• LectureDelivery of Fachinhalte on systems, methods and applications
• Integrated exercises (Praktikum)Independent and guided completion of practical tasks with open-source software and Jupyter Notebooks
• Presentation / DiscussionPractical examples from the field and discussion for deepening and reflection

Teaching method

• Lecturepresentation of theoretical fundamentals
• Presentationvisualization and supplementation of lecture content
• Blackboard / Chalkboardexplanation and derivation of concepts
• Practical exercises with open-source software and Python (Jupyter Notebooks)applying methods and developing workflows in real data scenarios
• Discussions and practical examplesstimulating content-focused engagement and transfer to real questions