autumn 2022
FYS-3023 Applied remote sensing - 10 ECTS

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  2. Emnekatalog
  3. Applied remote sensing

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.

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 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 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: 30 hours Exercises: 30 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: https://en.uit.no/education/art?p_document_id=510412

Examination

Examination: Date: Grade scale:
Oral exam 09.12.2022 09:00
 A–E, fail F

Coursework requirements:

To take an examination, the student must have passed the following coursework requirements:
Mandatory assignments Approved – not approved
UiT Exams homepage

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
  • Tidligere år og semester for dette emnet