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| ENVT0045-1 | Geomatics and applied remote sensing
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| Duration : | 28h Th, 44h Pr |
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| Number of credits : |
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| Lecturer : | Philippe Lejeune |
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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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Course contents :
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| This course is divided into two main parts : an initiation to GIS softawre (and associated cocepts) and an introduction to remote sensing.
The course focuses on the application of these two techniques in the field of the management of natural resources.
An important part of the course is dedicated to practical exercises that allow students to become familiar with desktopgis software (ArcGIS) and with the typical dataset used in such applications.
A quick introduction to opensource GIS (QGIS) and relational databases is also proposed.
Part 1 - GIS
- Data modeling and data structure
- Coordinate system and georeferencing
- Data acquisition
- Data visualisation and presentation
- Data analysis (vector)
- Data analysis (raster)
- GIS softwares
- GIS Project management
- Introduction to relational database
Part 2 - Remote sensing
- Basic principles - Main captors and satellites
- Image interpratation
- Data preprocessing
- Image classification
- Aerial and terrestrial LiDAR |
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Learning outcomes of the course :
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| After completing the course, student is expected to be able to :
- understand the basic concepts of geographic information systems (data models, georeferencing, vector and raster geoprocessing, ...);
- handle main tools of a desktopgis : data visualization, selection, symbolization, geoprocessing, projections, layouts;
- prepare and use remote sensing data (georeferencing, interpretation, classification);
- use a relational database with simple queries, either directly with a DBMS (MS Access), or within a geodatabase;
- find and implement GIS resources (data and tools) from the web;
- correctly organize and manage a medimum size GIS (data organization, backup, metadata, ...). |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Knowledge of the operating system of a personal computer (directory and file management) and of Excel software. |
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Planned learning activities and teaching methods :
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| - 8 lectures (16 h) : presentation of the theoretical concepts
- 1 seminar (4 hours) : presentation of study cases
- 20 lab sessions : tutorials and assignments (20 h). - 1 webseminar session (1 h)
1 e-learning module (10 h - 30 h depending on the master) |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face to face Lab session with instructor
Free lab session
Webseminar
E-learning |
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Recommended or required readings :
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Assessment methods and criteria :
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| theoritical written exam (close book) : 50 %
practice-oriented exam (open book) : 50 % |
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Work placement(s) :
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Organizational remarks :
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| The course material and the data sets are provided to the students in the form of a USB key |
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Contacts :
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| Philippe LEJEUNE
phone : +32 81 622296
e-mail : p.lejeune@ulg.ac.be |
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