Aim
Managing scientific projects as well as project proposals and developing them towards successful science is a common task for scientists as well as practitioner. In this course different approaches will be introduced and discussed.
Content
Research does mean much more than identifying crucial research question, finding appropriate data, developing algorithms and deriving new findings. While this course will contain all mentioned issues it will beyond highlight the challenges for raising money for research, writing proposals, building up networks, writing papers and doing presentations. All topics will be introduced by the examples of currently running research projects.
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...