Introduction to remote sensing and geoinformatics MOOC (cross-institutional study) (3 cr)
Code: C-10088-LM00DL31-3002
General information
- Enrollment
- 16.09.2024 - 30.04.2025
- Registration for the implementation has ended.
- Timing
- 01.08.2024 - 31.07.2025
- Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Institution
- University of Eastern Finland
- Teaching languages
- English
- Seats
- 0 - 999
- Course
- C-10088-LM00DL31
Evaluation scale
Pass/Fail
Objective
The student will be able to: - identify the basic concepts and methods applied in remote sensing and geoinformatics - identify different remote sensing data and can handle them using geospatial software - understand how remote sensing is utilised in forest research - understand the main advantages and restrictions of remote sensing - interpret statistical models for the prediction of forest attributes
Methods of completion
MOOC-online course.
Methods of completion
Completion of MOOC course modules (6 x 5 h), exercises (15 h) and independent studying (20 h). Each module comprises a theoretical part (video and text contents), practical exercises and an online exam. The completed MOOC course credits are marked three times a year: at the end of January, May and September. Grading pass/fail. A pass requires the completion of the MOOC course.
Content
Physical fundamentals and basic concepts of remote sensing and basic concepts of geoinformatics. The basic concepts of aerial and satellite imaging, laser scanning and microwave remote sensing. The basics of handling and processing of remote sensing data using geospatial software. Utilisation of remote sensing in forest research.
Materials
Lectures and exercise notes.