GIS: Introduction to remote sensing
About
Daily satellite imagery, micro-satellites, drone data, Google Earth and LiDAR are just some of the exciting data sources available to researchers and the public.
Remote analysis is an important data source for the Geographic Information System (GIS), for example to detect changes in ground cover, to map the forest, as well as the topography with LiDAR data and to obtain images and 3D data with drones.
The course provides an introduction to 2D (e.g. Sentinel-2 data) and 3D (e.g. photogrammetry with drones, airborne LiDAR) remote analysis data sources for applications in the terrestrial environment, the theory behind remote analysis, information on access to data, data analysis exercises, and addresses future developments in the subject.
This course is open to
Exchange students at the Faculty of Science and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
Entry requirements
Admittance to the course requires completion of Geographical Information Systems 1 (NGN180) or an equivalent. After evaluation, students with equivalent completed course work can be admitted to the course.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference: https://europa.eu/europass/en/common-european-framework-reference
Application
Do you want to apply for exchange studies at the University of Gothenburg?