Høst 2022

FYS-3023 Applied remote sensing - 10 stp

The course is administrated by

Institutt for fysikk og teknologi

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.

Course contents

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.

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.

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.

Objective 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

Language of instruction

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: 30 hours Exercises: 30 hours

Date for examination

Oral exam 09.12.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.