Duration
Introduction : 12h Th, 24h Pr
In-depth : 6h Th, 12h Pr
Number of credits
| Master in forests and natural areas engineering, professional focus | 6 crédits |
Lecturer
Introduction : Philippe Lejeune, Adrien Michez
In-depth : Philippe Lejeune
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Introduction
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).
In-depth
- introduction to LiDAR (aerial and terrestrial) data processing and analysis ;
Learning outcomes of the learning unit
Introduction
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).
In-depth
At the end of this course, the student must be able to:
- Process ans analyze an Aerial LiDAR dataset (process of the point cloud and the raster layers derived from it)
Prerequisite knowledge and skills
Introduction
ENVT0045 "Applied Geomatics and Remote Sensing" or similar
In-depth
See ENVT3060-A
Planned learning activities and teaching methods
Introduction
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)
In-depth
See ENVT3060-A
Mode of delivery (face to face, distance learning, hybrid learning)
Introduction
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)
In-depth
Face-to-face course
Further information:
See ENVT3060-A
Course materials and recommended or required readings
Introduction
The teaching materials will be available on eCAMPUS page of the course and on a dedicated server for the datasets.
Introduction
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
In-depth
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Further information:
See ENVT3060-A
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Introduction
p.lejeune@ulg.ac.be
In-depth
See ENVT3060-A