Høst 2017

FYS-3023 Environmental monitoring from satellite - 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.https://fsweb.no/soknadsweb/login.jsf?inst=UiT

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 for analysis of remote sensed data in Matlab and ENVI

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

Assessment

Portfolio assessment of project assignments counting about 40 % and a final oral examination counting about 60 %. All modules in the portfolio are assessed as a whole and one combined grade is given. Assessment scale: Letter grades A-F.

Re-sit examination (section 22): There is no access to a re-sit examination in this course.

Postponed examination (sections 17 and 21): Students with valid grounds for absence will be offered a postponed examination. Both postponed project assignments and postponed oral examination are arranged during the semester if possible, otherwise early in the following semester.

See indicated sections in Regulations for examinations at the UiT The arctic university of Norway for more information.

Coursework requirements: Access to the final examination requires submission of project assignments.