2023-2024 / SPAT0032-2

Remote sensing


20h Th, 20h Pr

Number of credits

 Master of Science (MSc) in Aerospace Engineering5 crédits 
 Master in space sciences (120 ECTS)5 crédits 


François Jonard

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The theoretical lessons address the following topics:

  • General theoretical concepts in Earth observation
  • Optical remote sensing
  • Thermal infrared remote sensing
  • Passive and active microwave remote sensing
  • Advanced Earth observation: very high-resolution (drones, nanosatellites) and hyperspectral remote sensing
  • Earth observation applications for land monitoring
The practical lessons address the following topics:

  • Time series extraction of optical vegetation indices (Google Earth Engine)
  • Time series analysis for land monitoring (Python Notebook)
  • Radar data processing for flood monitoring
  • Optical data processing for forest fire detection
  • LiDAR and photogrammetric drone data processing
  • Retrieval of biophysical variables from hyperspectral data (radiative transfer modelling)
The courses are accompanied by a project that allows students to familiarize themselves with the theoretical concepts and the main remote sensing techniques.

Learning outcomes of the learning unit

This course provides an introduction to remote sensing, with emphasis on matter-radiation interactions that determine the observables accessible in each region of the electromagnetic spectrum.

At the end of the course, the student will be able to understand the theoretical concepts in Earth observation and apply advanced signal processing techniques.

Prerequisite knowledge and skills

The Course is accessible to any Bachelor in Sciences or Applied Sciences.

Planned learning activities and teaching methods

Theoretical and pratical lectures combined with a project.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Additional information:

Theoretical and pratical lectures are face-to-face (every week).

A project is to be carried out independently by group of typically two or three students.

Recommended or required readings

Slides of the theoretical and pratical lectures are available on eCampus. Links to additional material (books or papers) are also provided at the end of each set of slides.

Exam(s) in session

Any session

- In-person

written exam

Written work / report

Additional information:

The evaluation is based on the project (40% -if the exam on the theoretical part is passed) and a written exam (60%).

Each project will require to submit a report in the form of a Notebook as well as the Python codes in due time. Eeach group will have to present and defend his project in front of the class. The project is compulsory, students who have not realised and presented the project will not be allowed to take the exam.

The goal of the exam will be to assess the understanding of theoretical lectures. Students will have to answer questions covering the whole course material.

Work placement(s)

Organisational remarks and main changes to the course



Prof. François Jonard, francois.jonard@uliege.be

Association of one or more MOOCs