autumn 2024
FYS-3023 Applied remote sensing - 10 ECTS

Type of 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.

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.

Course content

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.

Recommended prerequisites

FYS-2006 Signal processing, FYS-2010 Image Analysis, FYS-3001 Physics of remote sensing, FYS-3012 Pattern recognition, STA-2003 Time series

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

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.

Teaching methods

Lectures: 40 hours

Exercises: 30 hours

Seminars: 10 hours

Information to incoming exchange students

This course is open for inbound exchange student who meets the admission requirements. Please see the Admission requirements' section. Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty:



Examination: Weighting: Duration: Grade scale:
Oral exam 3/10 15 Minutes A–E, fail F
Oral exam 7/10 40 Minutes A–E, fail F

Coursework requirements:

To take an examination, the student must have passed the following coursework requirements:

Two mandatory assignments Approved – not approved
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.

Re-sit examination

There will not be arranged a re-sit examination for this course.
  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: FYS-3023
  • Earlier years and semesters for this topic