Duration
18h Th, 36h Pr
Number of credits
Lecturer
Coordinator
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
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);
- introduction to LiDAR (aerial and terrestrial) data processing and analysis ;
- introduction to SAR time series processing and analysis (Sentinel-1).
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);
- Process ans analyze an Aerial LiDAR dataset (process of the point cloud and the raster layers derived from it)
- Preprocess and analyze time series of Sentinel-1 SAR data.
Prerequisite knowledge and skills
ENVT0045 "Applied Geomatics and Remote Sensing" or similar
Planned learning activities and teaching methods
Table of Contents
1. Introduction and Reminders
2. UAV
2.1. Theoretical concepts (operation, piloting, regulation, sensors)
2.2 Implementation (flight planning and execution, image acquisition)
3. LiDAR
3.1 Theoretical concepts
3.2 Data acquisition
4. Image and data processing
4.1. Theoretical concepts of photogrammetry
4.2 Photogrammetric processing of UAV imaging (Photoscan software)
4.3. Aerial image processing (introduction to GDAL and OTB tools in R environnment)
4.4. LiDAR data processing (lidR package)
4.5. SAR Sentinel1 image processing (with Google Earth Engine)
5. Seminar: presentation of case studies and specific equipment
6. Projects: typical projects carried out by students (alone or in groups depending on the number of students enrolled in the course)
Translated with www.DeepL.com/Translator
Mode of delivery (face to face, distance learning, hybrid learning)
The course is organized as follows:
- a series of theoretical sessions
- a seminar (presentation of specific projects or equipment)
- tutorial sessions
- sessions dedicated to the realization of mini-projects based on the valorization of existing datasets
Organisational adjustments related to the current health context
The theoretical material is seen by the students in remote mode (video capsules).
Practical exercises are made available to students in the form of written notes and videos.
The face-to-face classes are organized in computer rooms.
Participation in these sessions is not mandatory.
They are mainly intended to answer the questions asked by the students for the theoretical part and to help with the realization of the practical exercises and the finalization of the personal project.
A seminar session of presentation of technical projects will be organized in an auditorium with a capacity adapted to the size of the group.
The practical session devoted to UAV piloting will be organized outdoors in small groups.
Recommended or required readings
The teaching materials will be available on eCAMPUS page of the course and on a dedicated server for the datasets.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Evaluation of the project report
Work placement(s)
Organizational remarks
Contacts
p.lejeune@ulg.ac.be