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 sensors and multi-spectral optical sensors
- describe a number of satellite remote sensing application areas within (but not limited to) the marine, cryosphere, and forest domains
- discuss and select appropriate remote sensing sensors and modes applicable to a given application
- discuss and select basic signal processing, image processing, and pattern recognition techniques applicable in the analysis of remote sensed imagery
Skills - The student can
- explain the application domains of synthetic aperture radar and multi-spectral optical sensors with respect to environmental monitoring
- analyze remote sensed data by applying various segmentation methods, multi-channel feature extracting method, and classification methods
General expertise - The student can
- give a basic interpretation of synthetic aperture radar and multi-spectral optical Earth observation data
- implement or apply methods and algorithms in available software for analysis of remote sensed data
Prerequisites
Recommended prerequisites
FYS-2006 Signal processing, FYS-2010 Image Analysis, FYS-3001 Physics of remote sensing, FYS-3012 Pattern recognition, STA-2003 Time series
Teaching methods
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.Application deadline
Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester.
Applicants from outside the Nordic countries: 1 October for the spring semester and 15 April for the autumn semester.
Information to incoming exchange students
Assessment
Coursework requirements:
- Up to three mandatory assignments during the course. Access to the final examination requires completing/submitting and passing the coursework.
Examination:
- Final oral examination, counting 100%
Assessment scale: Letter grades A-F. A is the highest grade and F is failed.
There iwill not be arranged a re-sit examination for this course.
For further information, see chapter 5 in Regulations for studies and examinations at the UiT The arctic university of Norway.