Applied remote sensing
About the course
The course is available as a singular course. The course is also available to exchange students and Fulbright students.
The course will only be taught if there are sufficiently many students. Please contact the student adviser as soon as possible if you are interested in following the course.
The course will give a practical introduction to methods and algorithms used for analyzing and interpreting Earth observation data. Focus will be on how Earth observation data can be applied to study and monitor the climate and the environment. The course will contain elements of image processing, pattern recognition and texture analysis. It has a significant practical component, in which various applications will be discussed.
Admission requirements
Admission requirements are a Bachelor's degree in physics or similar education, including specialization in physics worth the equivalent of not less than 80 ECTS credits.
Local admission, application code 9371 - singular courses at Master's level.
Objectives of the course
Knowledge - the student can
- describe fundamental principles of remote sensing by synthetic aperture radar, multi-spectral optical, passive microwave radiometer and altimeter sensors
- describe a number of satellite remote sensing application areas within the marine, cryosphere, and forest domains
- understand the optimal sensors and modes of operation for a given remote sensing application
- apply basic signal processing, image processing, and pattern recognition techniques in the analysis of remote sensed imagery
Skills - The student can
- explain the application domains of synthetic aperture radar, multi-spectral optical, passive microwave radiometry and altimetry with respect to environmental monitoring
- obtain useful geophysical information from the application of segmentation, multi-channel feature extraction , and classification methods to remotely sensed data
General expertise - the student can
- interpret synthetic aperture radar, multi-spectral optical, passive microwave radiometer and altimeter data
- apply image analysis methods and algorithms from available software for the analysis of remote sensed data
- communicate their understanding of satellite sensors and their applications verbally
Prerequisites
Anbefalte forkunnskaper
FYS-2006 Signal processing, FYS-2010 Image Analysis, FYS-3001 Physics of remote sensing, FYS-3012 Pattern recognition, STA-2003 Time series
Teaching methods
Lectures: 40 hours
Exercises: 30 hours
Seminars: 10 hours
Language of instruction and examination
The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.Schedule
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.
Information to incoming exchange students
Examination
| Oral exam | Duration: 15 Minutes Weighting: 3/10 |
Grade: A–E, fail F |
| Oral exam | Duration: 40 Minutes Weighting: 7/10 |
Grade: A–E, fail F |
To take an examination, the student must have passed the following coursework requirements
| Two mandatory assignments | Grade: Approved – not approved |
Everything you need to know about before, during, and after the exam; registration, absence, appeals, and diplomas: UiT Exams homepage
More info about the coursework requirements
2 mandatory assignments:
Access to the first oral exam (counting 30%) requires passing the first mandatory assignment and access to the final oral exam (counting 70%) requires passing both mandatory assignments.