The module provides an overview of measurement methods and techniques in the geosciences, including aspects of sensors and methods for generating terrain models and orthophotos as well as their processing and analysis. Further contents of the module include the process flow from data collection, storage, analysis and visualisation for key measurement parameters in the geosciences.
Qualification objectives
Students are familiar with areas of application for methods for collecting spatio-temporal data in the geosciences. They have sound knowledge of referencing data in local and global coordinate systems. They are able to design, apply and analyse simple measurement methods.
The module covers the basics of machine learning with a special focus on environmental sciences. It covers aspects of data preparation and dimension reduction. Methods such as classification and regression as well as corresponding validation approaches are further contents of the module.
Qualification aims
Students know the basic methods of machine learning and can apply them in an environmental science context. They have a comprehensive overview of various data classification and regression techniques. They are able to select and use suitable methods for processing and evaluating complex data according to specific environmental science applications.
Airborne laser scanning, Digital Terrain Model (DTM) generation, 3D city models, biomass estimation, bathymetry
Digital airborne cameras, advanced image matching techniques, DTM generation from stereo imagery
Direct georeferencing techniques
Qualification goals
Students will be familiar with photogrammetric methods for generating digital terrain models and laser scanning methods, including current sensor concepts and systems as well as analysing image processing methods in fully automated data processing chains. By presenting practical applications from different areas, students will be able to assess the application potential of photogrammetric methods.
Acquisition and automatic processing of 3D point clouds.
Qualification goals
After successfully completing the module, students will have acquired skills in the technological fundamentals of aircraft laser scanning and terrestrial laser scanning. They will be familiar with registration and calibration procedures, filter procedures, procedures for the automatic extraction of geoinformation from 3D point clouds and applications (DTM generation, 3D city models, forestry, architecture, engineering).
Photogrammetric data acquisition, data preparation, object recognition and data processing, examples for the planning and realisation of corresponding projects.
Qualification goals
After successfully completing the module, students will have methodological skills in object recognition and geodata fusion as well as in the use and adaptation of corresponding software products.