Study Programmes 2015-2016
GEOG2041-1  
Teledetection supplements
Duration :
15h Th, 20h Pr
Number of credits :
Master in geography : geomatics and surveying (120 ECTS)4
Lecturer :
Yves Cornet
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the second semester
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Course contents :
A brief theoretical explanation of different advanced processing methods will introduce introduce the topics of practical exercises to be carried out by students.
A basic scientific documentation will be provided to each student who will choose one or two proposed subjects.
Studied subjects are:
1. Image filtering the spectral domain 2. Edge detection (Canny) and Edge linking (Hough) 3. Comparison of several image segmentation methods d'image (Maximun Enthropy Thresholding - Edge détection using Canny distance transform and watershed) 4. Spectral unmixing 5. Comparison of pixel-based classifications methods 6. Comparison of object-based classifications methods 7. Multidate classification and Land Cover Change analysis. 8. Cloud detection (MODIS, AVHRR, ...) 9. Relative Radiometric Normalization 10. Topographic Normalization 11. Comparison of image fusion methods and output image quality assesement 12. Time series analysis - Low spatial resolution SST (pathfinder) 13. Time series analysis - Low Spatial resolution LST (MODIS) 14. Medium spatial resolution LST modeling Modélisation (Landsat TM, ETM+,OLI) 15. Using Grass (importation, visualization, geometric correction, classification, texture analysis...) 16. Using SAGA 17. Automatic homologous point matching on stereoscopic couple of images (Matlab programming) 18. Ocean color using Seadas 19. Bathymetry and sea bottom classification in shallow water domain
Practical works sessions that are constituting the major part of the course will focus on the analysis of the literature on the proponed subject, the choice and implementation of a solution, the realization of a power-point presentation explaining the problem and the proposed solution, the presentation of this power-point to the other students and teacher(s) during a seminar organized .
The practical works will be made by students in controlled autonomy.
Learning outcomes of the course :
Students will gain
* An hability in building its own knowledge on a specific remote sensing image processing problem from the scientific litterature
* A grasp the functions of image processing using specific software tools used in previous courses but also other new free software
* Using basic knowledge learned on the course, the student will also be capable of designing original solutions making it possible to answer new questions in the different areas for application of teledetection. By also using the skills and mindset acquired during previous  courses (mathematics, statistics, physics, cartography, error propagation, digital methods applied to geography, programming ...), the student should also demonstrate the scientific rigour necessary for the analysis of these new techniques in the formulation of reliable technical solutions in their implementation and analysis of their results.
Prerequisite knowledge and skills :
Students will use the skills acquired during the various remote sensing courses of its previous cursus (2nd and 3rd Bac).
The course involves an intense use of mono and multivariate statistical processing, the principles of spatial analysis. Some notions of numeric analysis, some mathematical tooms and several physics concepts.
It also calls upon a certain number of concepts dealt with during the digital cartography and mathematical cartography course. Software tools applied during practical sessions for the different courses given by members of the Geomatics Unit are also used.
In addition, the mindset learned during the different physics, mathematics, programming, cartography, and spatial analysis courses will be essential.
Planned learning activities and teaching methods :
The theoretical part is reduced to its simplest form. It will take place in the form of synthetic communications on the various subjects to be addressed by students during practical work that will be the major activity. The practical work sessions are independently done by the students in a controlled environment. They are organised in accordance with the Problem-based learning. Each student must respond to an original image-treatment problem by using software tools made available to them. Evidently, the student can also choose alternative solutions by, for example, using software and programming environment tools. Basic scientific documentation is made available to the student but he is free to also analyse the documentation available elsewhere (web literature, software aids, discussion forums, reference books ...). A specific set of data on each subject is distributed. At the end of the practical work sessions, each student makes a PowerPoint presentation to the class of the problem, analysis of the technical solutions suggested and examples of the areas of application of these, the implementation of the solution or solutions, the description of the data used the results of the processing and their critical analysis, and a conclusion. After each presentation, a short period of questions and answers in which students and teachers participate is planned. All the PowerPoint presentations are made available to all of the students. Some software such as Idrisi, SAGA, Grass, seadas, Matlab are installed on computers in the classroom. In addition, the students have free access to the Idrisi 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 classroom B5a/4/18. If students wish to use it 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 used is face-to-face. Presence is obligatory. Any absence must be justified (by a medical certificate, for example). Unless otherwise stated, sessions are held in the B5a/4/18 room, during the second term and the scheduled week-day.
Recommended or required readings :
Scientific articles distributed during the sessions and through the eCampus platform.
Assessment methods and criteria :
The final mark is based on the quality of the presentation on the practical work and the quality of answers in the discussion following the presentation.
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 (mathematical meaning of the different coefficients of the equation, e.g.), physics (dimensions and units, order of magnitude - scaling, e.g.) and geographical (single and multivariate spatial and temporal interaction - type - and meaning of the variables e.g.) interpretations. Critical thinking with respect to the data used (qualification, nature, meaning, representativeness, normalization ...) and methodological choices (justification of choice of methods, appropriate 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
Items online :
Compléments de télédétection
Compléments de télédétection