Aim
Students deepen their knowledge in the use of remotely sensed data on selected topics, and/or on various methods and applications.
Content
In this module, selected established and new applications and research topics in the field of Earth observation and remote sensing will be presented and discussed. Different methodological approaches and/or thematic aspects will be addressed.
General Course News and Updates
Object based sequential masking classification using SAR and optical data
Remote sensing based crop mapping is still challenging when just relying on optical information as the only data source. Due to the unavailability of adequate optical satellite images the integration of SAR is promising and can be explored within an innovation...
Radiometric calibration, speckle reduction, geometric and terrain correction are essential preprocessing steps for SAR data. Within an innovation laboratory you will explore the different calibration and data preparation techniques for ground detected and single look...
Surface model creation from multi-source remote sensing data
Nowadays there are plenty of 3D data sources which offer the possibility to model and monitor structural attributes of the landscape via the derivation of terrain, surface and canopy models. The core idea of this research project within an innovation laboratory is to...