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| ENVT2050-1 | Applied remote sensing
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| Duration : | 12h Th, 12h 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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Course contents :
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| 1. Introduction 2. The main sensors ans satellites 3. Image intepretation 4. Image processing 5. Image classification |
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Learning outcomes of the course :
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| The objective of this course is to introduce the principles of remote sensing with emphasis on applications in the field of agronomy, forestry and land use management.
An important part of the course is dedicated to practical exercises.
At the end of the course, students should be able to:
- Find and select images compatible with the objectives;
- To interpret the content of these images;
- To implement a classification procedure;
- To integrate the data generated in a GIS |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basic knowledge in Geomatics (GIS) |
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Mode of delivery (face-to-face ; distance-learning) :
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| Lectures : 8 h
Practical Works : 16 h |
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Recommended or required readings :
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| - JENSEN J. R. [2007]. Introductory Digital Image Processing : A Remote Sensing Perspective. Prentice-Hall, Inc., 515p.
- JENSEN J. R. [2007]. Remote Sensing of Environment: An Earth Resource Perspective. Prentice-Hall, Inc., 592p.
- LILLESAND et al. [2005]. Remote Sensing and Image Interpretation. Wiley Ed. 5° ed., 763p. |
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Assessment methods and criteria :
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| Written exam (30 %)
Exercises reporting (50 %)
Participation at lab sessions (20 %) |
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Contacts :
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| Lejeune, Philippe (Professeur)
Forest and Nature Management
081 62 le be
2296 |
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