Phelma Formation 2022

Remote sensing (SICOM-DD SIGMA S9) - 5PMSSIR0

  • Number of hours

    • Lectures 6.0
    • Projects 0
    • Tutorials 6.0
    • Internship 0
    • Laboratory works 10.0
    • Written tests 0


    ECTS 2.0


Remote sensing is one of the main approaches for environmental monitoring on large scales. The course will present the main concepts, technologies and methodology involved in remote sensing.
The content of this course is organized in two parts. The first is devoted to optical remote sensing systems and the second to Radar remote sensing. Both optical and Radar systems allow the acquisition of information of a surface but they are based on technologies and models that are completely different.

The cours will be taught in English or French.

Contact Mauro DALLA MURA


Part I: Optical remote sensing
1) Remote sensing systems
2) Optical radiation models
3) Sensor models
4) Examples of optical remote sensing applications

Part II: Radar remote sensing
5) The Radar imaging system
6) Interferometry
7) Polarimetry


Basics knowledge on image and signal processing and physics.


Report of the labs sessions
Written exam (2h)
The text of the exam will be both in English and French. The answers can be done either in English or French.

Note finale = 0,6 x note d'examen écrit + 0,4 x moyenne des notes de rapports de TP + 2 pts projet optionnel
Final grade = 0.6 x grade of the written exam + 0.4 x average of the grades given to the reports of the lab sessions + 2 pts optional project

Si situation 100% distancielle / If distant learning mandatory:
Note finale = 0,6 x projet personnel + 0,4 x Project collectif + 2 pts projet optionnel
Final grade = 0.6 x Personal project + 0.4 x Group project + 2 pts optional project

Additional Information

Course list
Curriculum->Engineering degree->Semester 9
Curriculum->Double-Diploma Engineer/Master->Semester 9


Main references
R.A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, Seconda Edizione, London: Academic Press, 1997.
J.A. Richards, Remote Sensing Digital Image Analysis: An Introduction, Terza Edizione, New York: Springer-Verlag, 1999.

Other references
D. A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, New Jersey: John Wiley & Sons, 2003
C. Oliver, S. Quegan, Understanding Synthetic Aperture Radar Images, London: Artech House, 1998.
T. M. Lillesand, R. W. Kiefer, Remote Sensing and Image Interpretation, New York: John Wiley, 1994.