Smart technologies for environmental engineering

Teacher(s)

Jonard François; Lambot Sébastien (coordinator);

Language

English
> French-friendly

Prerequisites

  - Applied geomatics.
  - Soil physics

Main themes

This course aims to teach technologies for characterization and monitoring of agroecosystems. In particular, geophysical imaging and characterization techniques of soil properties are presented, such as ground penetrating radar, electromagnetic induction or electrical tomography. Also, the course discusses the use of drones for environmental monitoring, including multispectral, thermal infrared, LiDAR sensors as well as photogrammetry. Fundamental concepts, instruments and methods of signal analysis will be particularly seen in-depth. The student will be made familiar with these tools through practical works and an integrated project.

Learning outcomes

At the end of this learning unit, the student is able to :
1	At the end of this teaching unit, the student is able to: a. Contribution of the activity to the program Learning Achievements (LA)   M1.1; M1.2; M1.3; M2.1; M2.2; M2.3; M4.5; M5.1; M5.6; M5.8; M6.1; M6.2; M6.4; M6.9; M7.1; M7.2; M8.1; M8.2; M8.3; M8.4; b. Specific formulation for this LA activity of the program At the end of this course (3 ECTS), students will be able to: - understand the concepts of the different environmental sensors (geophysics, remote sensing); - understand and implement different signal processing methods; - develop a critical analysis on the application of these technologies; - to master the use of some of the instruments studied.

Content

The LBRES2101 course (4 credits) is the complete course. The LBRES2101A part (1 credit) is intended for students of the university certificate in applied geomatics and includes the subject relating to drones, drone sensors and photogrammetry. The LBRES2101B part (3 credits) does not include the part on environmental sensors and topographic tools.
Full course content :
Theorical class :
- Geophysical techniques: ground penetrating radar, electromagnetic induction, radiometry, electrical tomography, seismic, reflectometry.
- Drone remote sensing techniques: thermal infrared sensor, multispectral sensor, LiDAR.
- Sensor networks
- Signal processing methods: inversion, tomography, photogrammetry, data fusion, artificial neural networks.
Practical works :
The main concepts presented during the courses will be applied during practical work sessions (operational skills) and an integrated project carried out by group.
 
Seminars:
Students analyze, synthesize and present a scientific article dealing with a scientific question relating to environmental monitoring.

Teaching methods

  - Lectures.
  - Practical work in a team with an integrated project involving the production of a collective report.
  - Seminars allowing to deepen a scientific question related to the course and to develop the reading of the texts in English and the competence of professional communication.

Evaluation methods

  - Written exam.
  - Integrated project report (by group). Weighting: 20% of the final mark if the written exam is passed.
  - Seminar evaluation (by group). The evaluation focuses on the quality and thoroughness of the presentation, the quality of the answers and arguments put forward during the debate, the communicative quality (quality of the slides, technical quality, oral expression). Weighting: 20% of the final mark if the written exam is passed.

Other information

This course can be given in English.
Part of this course (remote sensing by drone) is part of the University Certificate in Applied Geomatics accessible to professionals as part of continuing education.

Online resources

Moodle

Bibliography

FR
 -       Diapositives du cours
 -       Livres de référence recommandés.
EN
-       Slides of the course
 -      Recommended reference books.

Faculty or entity

AGRO