Teaching directory
Course 2024-2025

Remote sensing [SGOGB306]

  • 5 credits
  • 30h+36h
  • 1st quarter
Language of instruction: French / Français
Teacher: Henry Sabine

Learning outcomes

At the end of the course, the student will be able to: 1. select the appropriate remote sensing data for a given application 2. Explain the main processes to be applied to this data (especially to images) 3. apply these treatments to an image 4. interpret an image and comment on the processing carried out.

Objectives

1. Know how to use the different types of remote sensing data (focus on satellite images) and know their limits; 2. To know the main treatments to apply to remote sensing data (focus on images); 3. To be able to carry out these treatments using image processing software.

Content

1. Physical basis of remote sensing 2. Vectors, sensors and data acquisition programs 3. Colour composition, contrast enhancement, spatial and spectral filters 4. Radiometric corrections 5. Geometric corrections 6. Classifications 7. Multispectral transformations 8. Methods of detecting change 9. Applications


Teaching methods

The course is composed of 30 hours of theory and 30 hours of practical work. Attendance at the practical work is compulsory.

Evaluations

Remote sensing is a difficult subject. To help you prepare for the exam, we have made the lab reports compulsory and failure to submit them will be penalised, both in the first and second sessions. The final score will be composed of 66% of the theoretical course (written exam) and 34% of a practical exam. Both exams will be held on the same day during the January session. The evaluation in the second session is similar to the one in January. All students who fail the first session must retake both parts of the examination, even if they passed one of the two parts in the first session. Finally, any unnecessary additions to the examination will be penalised. We ask you to answer only the question asked. We focus on interpretation, not technique.

Recommended readings

Bonn, F. and Rochon, G. (1992) Précis de télédétection, vol. 1: Principles and methods. Presses de l'Université du Québec/AUPELF, Sainte-Foy, 485 p. Lillesand, T., Kiefer, R. and Chipman, J. (2008). Remote Sensing and Image Interpretation, 6th edition. John Wiley & Sons, NY. Richards, J. and Jia, X. (1999) Remote Sensing Digital Analysis - An Introduction, Third, revised and enlarged edition, Springer-Verlag. Wilmet, J. (1996) Aerospace remote sensing: methods and applications. SIDES, Fontenay-sous-Bois, 316 p.

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté des sciences
Rue de Bruxelles, 61
5000 NAMUR

Degree of Reference

Undergraduate Degree