There are three Master's programs at the University of Tromsø, Faculty of Science and Technology that offer specialization in Earth observation and satellite remote sensing as a possible course of study. These are:
The following courses cover Earth observation and satellite remote sensing, and are lectured by the staff of the Earth Observation Laboratory. They are given both as master level courses (with course code Fys-3xxx) and Ph.D. level courses (Fys-8xxx):
- FYS-3001/8001 Earth observation from satellites - 10 ECTS credits
- FYS-3023/8023 Environmental monitoring from satellites - 10 ECTS credits
We also lecture a course aimed at teachers in secondary school:
The following Bachelor level courses are highly relevant to our research activities, to the master projects offered, and are recommended to those who want to work with us:
- FYS-2006 Signal processing - 10 ECTS credits
- FYS-2007 Statistical signal theory - 10 ECTS credits
- FYS-2010 Digital image processing - 10 ECTS credits
Those who want to do a master project at the Earth Observation Laboratory should take one or more of the following Master level courses, in addition to one or more courses covering Earth observation and satellite remote sensing (see list above). Required and recommended courses for specific master projects are listed under the detailed description of the project (See the links below under the heading 'Master projects').
Note that courses are given both as master level courses and Ph.D. level courses, distinguished by the course code (e.g., Fys-3xxx vs. Fys-8xxx). They are lectured together, but there might be differences in the curriculum and course requirements.
A list of master projects offered by the Earth Observation Group is given here.
A list of master projects offered at the Earth Observation Laboratory is given below. Students are invited to discuss these or other project ideas with the contact persons. This is important in order to adapt the project to the background and the interests of the student.
- Classification of multispectral satellite imagery
- Geo-referencing and data fusion
- Polarimetric decomposition analysis
- Data fusion of multifrequency/polarimetric SAR data
- Feature extraction from polarimetric SAR data
- Simulated modelling of speckle statistics
- Kernel entropy component analysis of hyperspectral images
- Change detection in heterogeneous remote sensing images
- Radiometric calibration of SAR data
- Characterization of SAR measurements of tropical forest
- Evaluation of remote sensing for diagnostics of industrial impact
- Glacier monitoring with SAR images
- Tracking of sea ice in SAR images
A list of seminars that can be used to fulfill the coursework requirements for the Ph.D. education is given below. The Ph.D. seminars are given as lecture series followed by an exam. Parts of the curriculum may also be covered by self-study.