2024-2025 / ENVT3060-1

Very high resolution remote sensing applied to the management of natural environments, Introduction

Duration

12h Th, 24h Pr

Number of credits

 Master in environmental bioengineering, professional focus4 crédits 

Lecturer

Philippe Lejeune, Adrien Michez

Coordinator

Philippe Lejeune

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course aims to introduce the techniques of acquisition, processing and analysis of very high resolution remote sensing data, with a specific focus on the monitoring of agricultural, forest and semi-naturals ecosystems. 

This optional course follows the course ENVT0045 "Applied Geomatics and Remote Sensing".

 The course is structured in 4 main parts:
- introduction to UAV imaging acquisition techniques;
- initiation to the processing and analysis of very high resolution aerial imagery (photogrammetric processing, segmentation and classification).

 

 

Learning outcomes of the learning unit

At the end of this course, the student must be able to:
- Select a UAV equipment (platform and sensor) for a given objective;
- Prepare and execute a data acquisition campaign with a UAV;
- Process and analyze an image dataset produces with UAV (photogrammetric processing, analysis of the 3D model, classification).


 

 

 

Prerequisite knowledge and skills

ENVT0045 "Applied Geomatics and Remote Sensing" or similar

Planned learning activities and teaching methods

Table of Contents

1. Introduction

2. UAV

2.1. Theoretical concepts (operation, piloting, regulation, sensors)

2.2 Implementation (flight planning and execution, image acquisition)

2.3. Photogrammetry

3. Image and data processing

3.1. Introduction to geocomputing with R

3.2 Photogrammetric processing of UAV imaging (Metashape software)



 

 

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

Blended learning


Additional information:

The course is organized as follows:

- a series of theoretical sessions (video watching in remote mode)

- tutorial sessions (face-to-face mode)

- study cases sessions (training for tests)

- tests sessions (continuous assessment)

 

 

 

Course materials and recommended or required readings

The teaching materials will be available on eCAMPUS page of the course and on a dedicated server for the datasets.

Written work / report


Additional information:

Continuous assessment based on testing sessions conducted during the quarter

For the second session, the exam is organized as an open book exam
 

 

Work placement(s)

Organisational remarks and main changes to the course

Contacts

p.lejeune@ulg.ac.be

Association of one or more MOOCs