Study Programmes 2015-2016
| GEOG2017-1 | ||
| Introduction to Remote Sensing | ||
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Duration :
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| 15h Th, 20h Pr | ||
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Number of credits :
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Lecturer :
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| Yves Cornet | ||
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Language(s) of instruction :
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| French language | ||
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Organisation and examination :
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| Teaching in the first semester, review in January | ||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | ||
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Course contents :
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| Theory
I. Introduction 1. Analysis of vectors 2. Nature of the signal 3. Notions of numeric image (with notions of Point Spred Function, Instantaneous Field of View and spatial resolution) II. Processing of monogenic images 4. Visualization of monogenic images 5. Contrast enhancement 6. Classifications of a spectral band 7. Radiometric corrections (radiative transfert and general equation for reflectance computation) 8. Focal (local), zonal and global treatments 9. Filtering of images in the spatial domain III. Processing polygenic images 10. Visualization of polygenic images - colour composites 11. Spectral signature, spectral resolution, indices and arithmetic operators Supzervised 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. |
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Learning outcomes of the course :
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| Students will gain
* An understanding the acquisition process and nature of teledetection images used in the different areas of Earth, Living and Sea sciences * A knowledge of the main types of processing applied to teledetection images. * A grasp the functions of image processing using specific software tools. * Using basic knowledge learned on the course, the student will also be capable of designing original solutions making it possible to answer new simple questions by using the modules studied during the supervised work sessions. He will also derive benefit from logical thinking skills and rigorous mindset trained during previous courses (mathematics, physics, cartography, programming ...). |
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Prerequisite knowledge and skills :
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| The course refers to fundamental concepts of mathematics, physics, computer sciences and cartography course.
It also calls upon software tools applied during practical sessions for the different courses given by members of the Geomatics Unit are also used. These concepts and the use of these tools are briefly recalled during the year during theory, supervised work and practical work sessions. In addition, the mindset learned during the different mathematics, physics, programming, cartography courses will be essential. |
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Planned learning activities and teaching methods :
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| The theory course is of the ex-cathedra type. Many complementary reminders to the digital supports made available to the students are done on the blackboard during sessions. At the beginning of each session a fifteen minute period is devoted to student's questions on the subject matter covered in the previous course. In addition, we also suggest that the students use an exercise book. This contains numerical examples illustrating the different methods explained during the theory course. Their aim is to enable the student to understand the concepts of the theory course 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, programming languages learned during computer courses, scientific calculators ...) and don't need any image processing software. The practical work consits in supervised work. This supervised work carried out mainly under Idrisi principally illustrates almost all the methods explained during the theory course. The supervised work sessions alternate with the theory work sessions. Typical exercises and data sets comparable to those suggested during supervised work sessions as well as their solutions are suggested to students to enable them to autonomously test their aptitude for using software before the exam. 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. | ||
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Mode of delivery (face-to-face ; distance-learning) :
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| The method of teaching used is face-to-face. Presence is obligatory. Any absence must be justified by a medical certificate eg. The sessions take place in the B5a/4/18 room, during the first term, according to the schedule distributed besides. The ex cathedra theory courses alternate with supervised work sessions. | ||
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Recommended or required readings :
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| 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) |
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Assessment methods and criteria :
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| A permanent non-certificative self-assessment is provided during exercise sessions by a strong interaction between students and teachers. It is also favored by the exerices notebook with solutions available to students (see above) and exercices - with solutions - typical of the practical work examinations.
Assessment will comprise two parts. A first written and open book part, using the Idrisi software program, consists of solving an exercise comparable to those carried out during supervised work sessions. The students have around two hours to complete this exercise. This part of the exam accounts for 50% of the final mark. The second part of the exam consists of a written answer to a question from the theory course. This theory exam accounts for 50% of the overall mark and lasts two hours. The weighting mentioned above will 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 assessment 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 (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. |
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Work placement(s) :
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| Nil | ||
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Organizational remarks :
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| Nil | ||
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Contacts :
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| 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 |
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Items online :
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 | Introduction to remote sensing Introduction to remote sensing |
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