Space systems for the 
Arctic monitoring

Course description and objectives:

Space monitoring systems are the most expeditious and reliable source of information about the area nowadays. Processing of satellite images is necessary for timely decision-making in the management of the Arctic.

Course “Space systems for the Arctic monitoring” is aimed to provide students with knowledge of space sensors foundations and the use of remote sensing data and image processing techniques for different applications in Arctic region. Through laboratory work, students will have opportunities to practice the concepts and techniques learnt in the lectures.

Course name

Space systems for the Arctic monitoring

Course code


Type of course


Level of course

Master studies

Year of study


Semester when the course is delivered




Name of lecturer

Mr. Roman Aleshko

Learning outcomes

Upon successful completion of the course the students should be able to:

  • demonstrate basic knowledge of remote sensing working methodology;
  • demonstrate basic knowledge of relevant physical properties of the atmosphere and the spectral properties of various objects;
  • describe how various types of remote sensing data are structured, manufactured, and stored;
  • describe how to use various methods of digital image processing in order to extract and visualize the information contained in the image;
  • demonstrate the ability to work independently with raster data based on remote sensing in GIS.

Mode of delivery


Prerequisites and co-requisites

basic computer skills, basic knowledge in mathematics and physics

Course contents

  1. Introduction to Space Systems and Remote Sensing
  2. Satellites and Sensors
  3. Elements of Visual Interpretation
  4. Multispectral Remote Sensing
  5. Microwave Remote Sensing
  6. Remote Sensing of Sea Ice and Coastal Monitoring
  7. Remote Sensing of Vegetation
  8. Remote Sensing of Urban Landscapes

Recommended and required reading

Required reading:

  1. John R. Jensen “Remote Sensing of the Environment: An Earth Resource Perspective”, Pearson Education, Inc.
  2. Tutorial: Fundamentals of Remote Sensing, Canada Centre for Remote Sensing,
  3. Smith R. B. (2006) Introduction to Remote Sensing of Environment, MicroImages, 32 p.

Recommended reading:

  1. Lillesand, T.M., Kiefer, R.W & Chipman, J.W. Remote Sensing and Image Interpretation. Last edition. New York: John Wiley & Sons, 2003.
  2. James B. Cambell “Introduction to Remote Sensing”, Taylor & Francis
  3. P.A. Burrough “Principles of Geographical Information System for Land Resource Assessment”, Oxford University Press

Planned learning activities and teaching methods

The course is divided into two parts:

  • lectures, where students will have basic knowledge on space sensors and remote sensing theory;
  • laboratory work, where students will get hands-on experience with specialized software intended for remote sensing data processing.

Assessment methods and criteria

One 3-hour university-based written exam at the end of the term, evaluated on a scale of A-E=pass and F=fail

Language of instruction


Work placement

Possible practice at the Center of Space Monitoring of the Arctic and the Forest Research Center