 | | |
| GEOG0024-4 | Remote Sensing
|
|
| Duration : | 12h Th, 24h Pr |
|
| Number of credits : |
|
|
| Lecturer : | Yves Cornet, Antoine Denis |
|
| Coordinator : | Yves Cornet |
|
Language(s) of instruction :
|
| French language |
|
Organisation and examination :
|
| Teaching in the first semester, review in January |
|
Course contents :
|
| Theory
I. Introduction
a. Definition of remote ensing
b. Brief history
c. Movements of satellites
d. Nature of the signal
e. Some satellites and sensors
f. Notions of digital image
II. Processing of monogenic images
a. Visualization of monogenic images
b. Contrast enhancement
c. Geometric corrections
d. Radiometric corrections
e. Filtering images in spatial domain
III. Processing of polygenic images
a. Visualization of polygenic images - colour composites
b. Indices and arithmetic operators
c. Unsupervised classifications
d. Supervised classifications
e. Validation of classifications
f. Classification strategies
IV. Aerial photography
Practical work
Practical work is dispensed by Antoine Denis. After some remote sensing reminders, these exercises involve several parts and go beyond mere image processing.
Given the diversity of individuals for which this course is intended, a lot of information on the nature, use and processing of geographical data (spatial and temporal) are made.
Although the majority of the exercises are performed with the ENVI software, a significant part of these uses other software and resources: GOOGLE EARTH, WINDISP, TIMESAT, videos, web sites.
The chronology of the exercises is as follows:
1. Scientific use of "Google Earth"
2 Discovery of satellite images in ENVI: opening and characterization of satellite images: formats, resolutions, interpretation, etc.
3 Visual temporal analysis
4 Change Detection ("Change detection analysis")
5 Analysis of a series of low temporal resolution NDVI images
6 Calculation of NDVI from Landsat TM
7 3D Visualization
8 Geometric Correction
9 Production of a Land Cover map by supervised classification of one multispectral SPOT Image (visual analysis of the image contrast enhancement, 2D and 3D visualization, supervised classification and unsupervised, validation, post-processing , spatial representation of the result image)
10 Creating new channels (ACP Tasseled Cap ...)
11 Analysis of the spectral separability of Land Cover classes on an image and processing of hyperspectral data (ASD CHRIS-PROBA)
12 Time series analysis of low-resolution images and characterization of growing seasons
13 Watching the video "HOLOGLOBE"
14 Search for satellite images on the web
15 Presentation of interesting websites
|
|
Learning outcomes of the course :
|
| The student will gain
* An understanding of the acquisition process and nature of information about images used in the different areas of observation sciences.
* A knowledge of the main types of processing applied to images.
* A grasp of the processing functionalities of image processing using specific software.
* Given the diversity of the individuals doing this master's programme, the requirements on the level of expertise from the theory course are not those that can be expected of a designer who develops original solutions. The emphasis is placed rather on the practical aspects. Nonetheless, we expect a minimum of scientific rigour on the part of students and we adapt our expectations to the previous training they have all had.
* In the context of the practical lessons, the students should develop the following skills:
1. An ability to: Describe the different types of images (resolutions, format, significance in the real world,)
2. Visualise images
3. Perform a series of common analysis on different types of images (multispectral and hyperspectral, at high and low spatial resolutions, mono and multi-temporal) with the help of different software.
4. Search for satellite images on the web |
|
Prerequisites and co-requisites/ Recommended optional programme components :
|
| The course exploits the mono and multivariate statistical processing and the principles of spatial analysis. In addition, it makes frequent reference to notions of mathematics, digital and mathematical cartography and physics. Given the heterogeneity of the public doing this master's, we ensure by means of constant reminders and interaction with the students that they understand these concepts. Nonetheless, the mindset acquired thanks to different mathematics, physics and programming courses, characterizes the scientific training that is ideal for an understanding of this course. |
|
Planned learning activities and teaching methods :
|
| The course is ex cathedra type. Many complementary reminders to the digital support material will be made available to the students by means of blackboard work during sessions. At the beginning of the second day of the course, a 45- minute session is planned in order that the students can ask questions about the subject explained. In addition, we also suggest an exercise book to the students. It contains numerical examples illustrating the different methods explained during the theory course that I have identified over the years as being the most complicated. Typical solutions are supplied. These exercises can be done by means of calculation or programming tools known to the students (Excel, programming languages learned during computer courses, scientific calculation machines ...).
The practical work which begins after the two first days of theory consist of a course during which the students are directed by the lecturer in the different exercises proposed.
Practical works introduce students to the most frequently used manipulation, technical and analyzes in the field of applied remote sensing applied. The exercises are contextualized orally and a parallel is regularly done with the theme of natural hazard management. An important place is devoted to the analysis and critical of the methods results as well as the exchange with the students in the form of questions and answers. Various software programs are used so that students do not feel bound to a single interface. A manual describing alla the instructions required for the exercises serves as a guideline for practical works. It is written in such a way that students can redo exercises on their own. Data and software are provided to students during the practical sessions. At the end of theses sessons , students answer a series of questions in the form of a report that will serve as certification evaluation.
In addition, students will have free access to the Idrisi license and other software programmes through Ulg's VPN. For more information on access to the software materials go to the following website: ttp://www.gitan.ulg.ac.be/cms. To gain access to software tools and classrooms made available by the FUL, contact Antoine Denis or Bernard Tychon. |
|
Mode of delivery (face-to-face ; distance-learning) :
|
| The course will be face-to-face.
The ex-cathedra theory lessons will take place as soon as possible during the first quadrimestere on the FUL site.
The practical work sessions are planned by Antoine Denis and will also take place on the FUL site. Presence at these practical work sessions is obligatory. The exercises are carried out on a supervised basis by application of the standard protocols supplied by the teacher. A blank structure with questions is provided to students to produce their annual report. |
|
Recommended or required readings :
|
| 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) |
|
Assessment methods and criteria :
|
| A permanent non-certificative self-assessment is provided during practical lessons thanks a strong interaction between students and teachers. It is also favored by the numerical exercices book with provided solutions.
The assessment is comprised of two parts.
The practical work report constitutes the first part and makes up 50% of the overall mark.
The second part is oral and deals with the theoretical course. A question is drawn from a hat by each student. The student then has 15 minutes to prepare the oral explanation which he will give to the assessor. He will give his answer in 15 minutes and can use the blackboard to graphically and mathematically illustrate his point. This part of the exam is worth 50% of the overall mark.
The weighting mentioned here will be applied if the theory exam has been passed (10/20 at least). In the opposite case, the student will have to retake the theory exam (at least) in the second session. This standard evaluation procedure can be modified by mutual agreement with the students.
The assessment criteria are as follows: clarity, coherence, logic, rigor, 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 spacial 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 account 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 wide 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, Allée du 6 Août, 17 (B5a), 4000 Liège
Tel. 04 3665371
Mail : ycornet@ulg.ac.be
Web: http://139.165.44.35/cms/index.php
Antoine DENIS, PhD researcher
Département des Sciences et Gestion de l'Environnement (Arlon Campus Environnement), Unité Eau , Environnement et Développement, Avenue de Longwy 185, 6700 Arlon
Tel. 063 230997
Mail : antoine.denis@ulg.ac.be
Web: http://www.eed.ulg.ac.be/ |
|
|
| Items online : |
|
| Course notes |
| The documents are downloadable from the e-Campus site of the University of Liege. |
|
|
|
| Notes travaux pratiques |
| Les documents supportant les travaux pratiques sont téléchargeables sur le site ORBI de l'Université de Liège |
|
|
|
| |
