In the beginning of the course students can select a topic which they start to solve in a smaller group. Every group has a supervisor. Course is based on a problem based learning method. Additionally lectures about various remote sensing applications will be held.
Outcome:
After the end of the course:
- students have the overview about principles used in passive, radar and lidar remote sensing and their respective application fields;
- knows the principles of spectral measurements (knows the terms spectrometer, radiance, irradiance, reflectance, atmospheric correction, calibration),
- knows the principles in water remote sensing (bio-optical modelling, adjacency effect)
- knows the principles in vegetation remote sensing (optical properties of the leaf, contribution of various features to the reflectance, leaf angles, various indices).
- student knows how to download, process and analyse remote sensing and possibly ancillary data and apply this knowledge to solve various exercises.
- understands the differences in remote sensing and field data, how to combine them and use for spatio-temporal analyses and supporting the sustainable development goals (SDG) and international environmental frameworks.
- have gained experience how to plan and conduct groupwork, share responsibilities inside small group, present results.
