Duration
24h Th, 33h Pr
Number of credits
| Master in environmental bioengineering (120 ECTS) | 6 crédits | |||
| Master in forests and natural areas engineering (120 ECTS) | 6 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
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 QGIS software (+ a quick introduction to ArcGIS) and with the typical dataset used in such applications.
An introduction to spatial analysis with R packages is also addressed during labs.
- Introduction
- Map Projections and Coordinate Systems
- Data entry, editing and output
- Data entry - GPS
- Data entry - digital data
- Image data - Remote Sensing
- Tables
- Basic Spatial Analysis
- Raster analysis
- Terrain analysis - Digital Elevation Model
- Interpolation
- Spatial Modeling
- Image analysis
Learning outcomes of the learning unit
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 (QGIS) : data visualization, selection, symbolization, geoprocessing, projections, layouts;
- carry out simple spatial analysis with R package;
- prepare and use remote sensing data (georeferencing, interpretation, classification);
- find and implement GIS resources (data and tools) from the web;
- correctly organize and manage a medimum size GIS (data organization, backup, metadata, ...).
Prerequisite knowledge and skills
Knowledge of the operating system of a personal computer (directory and file management), of Excel software and relational databases (MS Access).
Planned learning activities and teaching methods
- 18 sessions of 3 h divided in 2 parts
- 1 lecture (theoritical concepts)
- 1 lab session
Mode of delivery (face-to-face ; distance-learning)
Face to face Lab session with instructor Free lab session
Recommended or required readings
Assessment methods and criteria
open book examination
Work placement(s)
Organizational remarks
The course material and the data sets are available on the eCampus page of the course
Contacts
Philippe LEJEUNE
phone : +32 81 622296
e-mail : p.lejeune@ulg.ac.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
No change
Assessment methods
The evaluation of this teaching will be done through a personal work asked to each student. Instructions will be posted on the eCampus page of the course by July 15th.