Remote Sensing 7.5 credits

Second cycle, R7012R
Course syllabus valid: Autumn 2019 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by Dept of Space Science 10 Dec 2008

Last revised
by Jonny Johansson, HUL SRT 15 Feb 2019

Education level
Second cycle
Grade scale
G U 3 4 5
Space and Atmospeheric Science
Subject group (SCB)
Space Technology
Main field of study
Space Technology

Entry requirements

General entry requirements, second cycle. 15 hp in matematics, for example: M0029M - Calculus, M0030M - Linear Algebra and Calculus, M0031M - Linear Algebra and Differential Equations, M0032M - Functions of Several Variables and Computer Tools, or equivalent. 15 hp in physics, for example: F0004T - Pysics 1, F0005T - Pysics 2, F0006T - Pysics 3, F0007T- Electromagnetic field theory, or equivalent. F7004R - Atmospheric Physics, or equivalent.. The course is given in English, so good English skills are also a prerequisite.

More information about English language requirements


The selection is based on 20-285 credits

Course Aim

After completion of the course, the students should be able to:

  • Describe and explain the physical background of selected remote sensing methods used in geosciences
  • Apply the physical principles in a quantitative way and perform simulations of remote sensing measurements for largely simplified cases
  • Apply selected retrieval methods to analyse measurements and solve remote sensing problems under simplified conditions/assumptions
  • Evaluate the requirements posed by a given measurement task/request, analyse the capabilities and limitations of known remote sensing methods to solve that task, and suggest an appropriate observation method/setup
  • Discuss and critically evaluate proposed remote sensing solutions


Motivation, why do we need remotely sensed data?

Radiation, radiative transfer, interaction of radiation with matter

Passive techniques; passive microwave observations, thermal infrared observations, visible/near infrared observations

Active techniques; Radar, Lidar, GPS

Data analysis


The course consists of classical lectures, combined with homework problems for the students. Solutions of the homework problems are discussed in tutorial classes, peer teaching is used. Alternative ways of teaching (e.g., reading course) can be applied, when number of enrolled students is <5.


The course grade will be determined by the student’s home work assignments with theoretical and practical character. Additionally, an individual assessment of the participation during the discussions of the assignments will be considered. 
The final grade considers all parts of the examination and will be decided when all obligatory elements are fulfilled. There can be alternativ examination methods, if appropriate. 

Transition terms

Mathias Milz

Literature. Valid from Autumn 2009 Sp 1 (May change until 10 weeks before course start)
Rees, W. G., Physical Principles of Remote Sensing, 2nd edition, Cambridge University Press, 2001.

Course offered by
Department of Computer Science, Electrical and Space Engineering

CodeDescriptionGrade scaleHPStatusFrom periodTitle
0004Assignment reportsG U 3 4 57.50MandatoryA19

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.