Duration
15h Th, 27h Pr
Number of credits
Lecturer
N...
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
Theory
I. Introduction
1. Analysis of vectors
2. Nature of the signal
3. Notions of numeric image (Point Spred Function, Instantaneous Field of View, spatial resolution ...)
II. Processing of monogenic images
4. Visualization of monogenic images
5. Contrast enhancement
6. Classifications of a single spectral band
7. Radiometric corrections (calibration, radiative transfert, general equation for reflectance computation ...)
8. Focal (local), zonal and global processing
9. Image filtering in the spatial domain
III. Processing polygenic images
10. Visualization of polygenic images - colour composites
11. Spectral signature, spectral resolution, indices and arithmetic operators
Supervised work sessions will be dedicated to the exploitation of the knowledge acquired during the theoretical sessions. The student will practice by himself in controlled autonomy to solve new problems by exploiting the functionalities of software tools. These problems are similar to the one that will be proposed for the certificative evaluation.
Learning outcomes of the learning unit
The student will gain
* An understanding the acquisition process and nature of remote sensing imagery used in the different fields of Earth, Living and Sea Sciences
* A knowledge of the main types of processing applied to remote sensing imagery.
* A grasp the functions of image processing using specific software tools.
Using basic knowledge learned during this introductory course to remote sensing, the student will also be capable of designing original solutions to answer new simple questions by using the Idrisi image-processing modules studied during the practical lessons. He will also make benefit from logical thinking skills and rigorous mindset trained during other courses of the Bachelor degree (mathematics, physics, cartography, programming ...).
Prerequisite knowledge and skills
The course refers to fundamental concepts of mathematics, physics, computer sciences and cartography.
It also calls upon software tools applied during practical sessions for the different courses given by members of the Geomatics Unit.
These concepts and the use of these tools are briefly recalled during theory and practical sessions.
In addition, the mindset learned during the courses of mathematics, physics, programming, cartography ... will be essential.
Planned learning activities and teaching methods
The theory course is of the ex-cathedra type. Many complementary reminders to the available digital supports are done on the blackboard during the lessons. At the beginning of each lesson a fifteen minute period is devoted to student's questions on the subject matter covered in the previous lesson.
In addition, we also suggest that the students use an exercise book. This contains numerical examples illustrating the different methods explained during the theory lessons. Their aim is to enable the students to understand the theorethical concepts I have identified over the years as being the most complicated. Typical answers are supplied. These exercises can be carried out with calculation or programming tools known to the students (Excel, Calc OpenOffice, programming languages learned during computer courses, scientific calculators ...) and don't need any image processing software.
The practical lessons consit in supervised work. This supervised work carried out mainly under Idrisi illustrates almost all the methods explained during the theorethical lessons. The supervised work lessons alternate with the theorethical lessons. Typical exercises and data sets comparable to those explained during supervised work lessons as well as their solutions are suggested to students to enable them to autonomously test their aptitude for using software before the exam.
To compensate for the lack of practical experience of the Idrisi software, we propose to organize the practical lessons in the following way. We suggest that students solve for themselves and at home the syllabus exercises that we will specify at the end of each weekly lesson. During the next practical lesson, the professor will present the procedures for solving these exercises by making the necessary links with the theory.
The students have free access to the Idrisi software license and other software programmes through the VPN of ULg. For more information on access to these software programmes, they can consult the following web address : http://www.gitan.ulg.ac.be/cms. This site also contains the schedule for use of the computerized classrooms locatrid in Building B5a. If students wish to use them to complete their projects or to help them in their practical work, they can contact the staff of the Geomatics Unit.
Mode of delivery (face-to-face ; distance-learning)
The method of teaching is face-to-face. Presence is mandatory. Any absence must be justified by a medical certificate eg. The lessons take place in room B5a/4/18 according to the schedule distributed besides (http://www.facsc.ulg.ac.be/cms/c_253095/fr/horaires).
The ex cathedra theoretical lessons alternate with practical lessons.
Recommended or required readings
BONN F., 1996. Précis de télédétection. 3 volumes. Presses de l'Université du Québec.
MATHER P.M., 1999. Computer Processing of Remotely-Sensed Images. 2e édition. Wiley, Chichester, 292 p.
RUSSELL G. CONGALTON & KASS GREEN, 2008. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRC Pres, Second Edition.
Platform of Earth Observation (BELSO) : http://eo.belspo.be/ (consulté le 14/8/2014)
Landsat 7 handbook : http://landsathandbook.gsfc.nasa.gov/ (consulté le 14/8/2014)
Landsat 8 documentation: http://landsat.usgs.gov/landsat8.php (consulté le 14/8/2014)
Landsat Science : http://landsat.gsfc.nasa.gov/?page_id=11 (consulté le 14/8/2014)
NOAA documentation: http://www.ncdc.noaa.gov/oa/pod-guide/ncdc/docs/intro.htm (consulté le 14/8/2014)
Other references are provided via the eCampus platform.
Assessment methods and criteria
A permanent non-certificational self-evaluation is provided during exercise sessions by a strong interaction between students and teachers. It is also favoured by the exercises notebook with solutions and typical exercises with solutions of the practical exams of the former years.
The certificational evaluation will comprise two parts.
The first part of the exam consists of a written answer to a questionnaire on the theoretical lessons. This exam lasts two hours. It accounts for 50% of the overall mark if the obtained rating is 10/20 at least. In the opposite case, the rating obtained for this theoretical exam will be the rating of the overall evaluation.
The second one is the evaluation of the skill acquired during practical lessons. It is written open book exam on the use the Idrisi software to solve an exercise comparable to those carried out during supervised works lessons. The students have two hours to complete this exercise. This part of the exam accounts for 50 % of the final mark if the obtained rating for the theoretical part is 10/20 at least.
The weighting mentioned above will thus be applied if the theoretical exam is passed (10/20 minimum). In the opposite case, the student will have to re-take the theory exam, in the second session.
This standard evaluation procedure can be changed by agreement with the students who will be informed.
The assessment criteria are as follows: clarity, coherence, logic, meticulousness, precision, completeness, brevity, relevance, cross-cutting nature (within the course and between courses), quality of mathematical interpretation (mathematical meaning of the different coefficients of the equation, e.g.), physical interpretation (dimensions and units, order of magnitude - scaling, e.g.) and geographical interpretations (single and multivariate spatial and temporal interaction - type - and meaning of the variables e.g.).
Critical thinking with respect to the data used (qualification, nature, meaning, representativeness, normalization ...) and methodological choices (justification of choice of methods, adopted thresholds ...) will also be taken into consideration when evaluation. Furthermore, answers will also be evaluated based on the quality and the originality of the graphic illustration since graphic expression is the scientist's specificity. It further allows demonstrating a good understanding of the phenomenon. Finally, enriching an answer with a rich personal scientific culture will also be considered a factor of excellence in the assessment.
Work placement(s)
Nil
Organizational remarks
Nil
Contacts
Yves CORNET, Professor
Geomatics Unit, 17 (B5a), Allée du 6 Août, 4000 Liège
Tel. 04 3665371
Mail : ycornet@ulg.ac.be
Web: http://139.165.44.35/cms/index.php
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
Assessment methods
Contacts
Items online
Introduction to remote sensing
Introduction to remote sensing