Study Programmes 2015-2016
| GEOG2022-1 | ||
| Remote sensing, profound notions | ||
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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 second semester | ||
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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. Processing of monogenic images 1. Advanced classifications of a spectral band (Maximun Enthropy Thresholding) 2. Geometric corrections (polynomial transformation, direct géoreferencing, orthorectification, digit number interpolation) 3. Advanced radiometric corrections (solar zenital angle computation and effect correction, relative radiometric normalization, topographic normalization) 4. Advanced focal treatments (Haralick texture analysis, mathematical morphology) II. Processing polygenic images 5. Polygenic transformations 6. Classification of images 7. Multi-source analysis III. Some applications 8. Observation of emerged land (NDVI, LST, analysis of temporal series, teleconnections, LCC ...) 9. Satellite oceanography (SST, LSWT, Ocean color, analysis of temporal series, teleconnections, bathymetry, classification of sea beds, radar imagery, ...) IV Access to the data servers 10. Selection and download of free images from the USGS server During the supervised work sessions, we will practically illustrate the theoretical concepts using several software. |
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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 should have aquired specific skills allowing him to follow the course on remote senseing complements scheduled during theMaster cycle. During this course he will be able to design 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 then 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. |
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Prerequisite knowledge and skills :
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| The course is a continuation of the introductory course on remote sensing of the second Bac year. The last is thus a prerequisite.
It involves an intense use of mono and multivariate statistical processing and the principles of spatial analysis. In addition, it frequently refers to notions of numeric analysis, matrix and analytical calculus studied during the mathematics course. Several physics concepts (electromagnetic spectrum, light radiation, Planck's equation, units and dimensions ...) are also important for a good understanding of this course. 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. 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 physics, mathematics, programming, cartography, and spatial analysis 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 is sub-divided into two parts, the supervised work and the practical work. The supervised work carried out mainly under Idrisi principally but also under Grass, SAGA, Seadass et Matlab 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, for example). Unless otherwise stated, the sessions take place in the B5a/4/18 room, during the second term and the weekday specified in the schedule further distributed. 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 and typical of the practical work examinations.
Assessment will comprise two parts. The first one is the practical evaluation. It is 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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 | Advanced remote sensing Advanced remote sensing |
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