Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2014–2016
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
MAAN6452 Methods in remote sensing and image processing (v) 7 op
Organised by
Person in charge
Niina Käyhkö
Preceding studies
Prerequisites: MAAN6081 or equivalent study records.

Learning outcomes

To obtain basic theoretical and applied knowledge of different remote sensing systems (airborne and spaceborne), data pre-processing methods, visual image interpretation techniques and numerical image processing methods. Students know remote sensing terminology and are able to use remotely sensed images for geographical analysis of earth surface features.


The course covers the following topics: introduction to remote sensing with key concepts, topics and relevance in geography, electromagnetic radiation and reflectance from the earth surfaces, introduction to multiscpectral remote sensing and remote sensing satellite systems, image pre-processing methods, visual image interpretation and radiometric image enhancement techniques, spectral and spatial image processing methods and multispectral image classification techniques.

Teaching methods

Demonstrations and practical + independent work

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Project / practical work
  • In English
  • In English
Participation in classroom work
  • In English
Written exam
  • In English

Participation to demonstrations and practical work + portfolio + written exam.

Evaluation and evaluation criteria

Numeric 0-5.
Written exam 100% of the mark, including portfolio

Study materials

Demonstrations notes, distributed literature, practical material (instructions and portfolio) and virtual resources via the Internet.

Further information

Sign-up during the teaching period 3 in NettiOpsu. Approximately 20-24 students will be accepted on the course based on their major subject and previous study records.

Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Maantieteen ja geologian laitos
Development Studies