Satellite Data Processing
About the course
Can be taken as a single subject.
This course will give a hands-on approach to processing satellite data. Most of the data will be from optical and radar (SAR) satellites. It will introduce state of the art methods to process the data, through for instance Python libraries. It assumes that the students have a basic understanding of satellite data, image processing and programming.
Admission requirements
A relevant undergraduate Bachelor Engineering program with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics.
Application code 9371
Objectives of the course
Knowledge and understanding:
- Understands how different types of common satellite sensors like multi and hyperspectral imagers, and synthetic aperture radars collect data.
- Knows which tools and libraries can be applied on different types of satellite data.
- can discuss different uses of common remote sensing data.
- can discuss different methods applied to satellite data processing.
Skills:
- can implement a satellite processing pipline.
- can analyse common satellite data products to produce derived properties in them.
General Competence:
- can identify and analyse satellite data relevant to a given remote sensing objective.
- can orally present a solution to a project in front of the class
Teaching methods
Language of instruction and examination
EnglishSchedule
The schedules are normally finalized and published well in advance of the start of the semester, often a few weeks beforehand. This gives students the opportunity to organize their studies and prepare for upcoming activities.
It is recommended to check the schedule regularly, as changes may occur.
Examination
| Portfolio | Hand in: 04.03.2026 14:00 Weighting: 2/10 |
Grade: A–E, fail F |
| Oral exam | Duration: 45 Minutes Weighting: 8/10 |
Grade: A–E, fail F |
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