Remote sensing [ LGEO1343 ]
5.0 crédits ECTS
30.0 h + 30.0 h
1q
| Teacher(s) |
Lambin Eric ;
|
| Language |
French
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Place
of the course |
Louvain-la-Neuve
|
| Main themes |
Prerequisites : Notions of statistics, general physics course.
The course has three components:
1: The presentation during lectures of the theoretical and methodological bases of remote sensing;
2: The application of image processing and interpretation methods to Landsat data on a region of Belgium, using image processing software on PC;
3: The exploration of a large range of remote sensing applications and of the methods used in each application, on the basis of CD-ROMs demonstrating case studies.
Physical bases of remote sensing:
- Definitions: radiant energy, radiant flux, radiant flux density, radiance;
- Interactions between energy and the surface of the earth: laws of Stefan-Boltzmann and Wien.
- Spectral reflectance curves ;
- Atmospheric effects;
- Physical interactions with thermal infra-red energy.
The sensors used in remote sensing:
- Landsat MSS and TM, SPOT;
- AVHRR, Vegetation, MODIS;
- the new high spatial resolution sensors.
Image processing:
- Corrections for non-systematic and systematic geometric distortions
- Radiometric corrections
- Extraction of statistics from images
- Contrast enhancement
- Spatial filtering
- Supervised classification
- Unsupervised classification
- Classification errors estimation
- Change detection methods
- Multispectral transformations: Tasseled cap transformation; principal components analysis;
- Notions of microwave remote sensing.
Practical work:
Processing of a Landsat TM image of Belgium:
1st session Introduction to image processing software
2nd session Color composites and contrast enhancement
3rd session Design of a scientific project
4th and 5th sessions Geometric correction
6th session Unsupervised classification
7th session Supervised classification
8th session Accuracy assessment of classification
|
| Aims |
Knowledge : The students will acquire a good knowledge of the different applications of remote sensing, and a capacity to decide which sensors and which image processing and interpretation methods are most appropriate for a given application.
Skills : The students will gain understanding of the bases of remote sensing and will be able to process and interpret satellite data on a given region, using a image processing software on PC. Emphasis is put on optical remote sensing for terrestrial ecosystem applications.
|
| Other information |
Support: Wilmet J. 1996. Télédétection aérospatiale: méthodes et applications. SIDES, Fontenay-sous-Bois, ISBN 2 86861 097 8.
Other recommended book: Richards J. 1986. remote Sensing Digital Image Analysis, Springer-Verlag, 2ème édition.
Human ressources: 1 professor and 1 assistant.
Continuous evaluation based on:
- Two tests during the trimester: (i) physical basis of teledetection and (ii) image processing technique (10% of final result for each test, so 20% for both);
- two practical work reports for each processing step (30% of final result for the overall of reports);
- a work on teledetection applications: answer to several questions, based on CD-ROMs (20% of final result).
Final evaluation: based on written examination (30% of final result).
|
Cycle et année
d'étude |
> Master [120] in Biology of Organisms and Ecology
> Master [120] in Physics
> Bachelor in Information and Communication
> Bachelor in Philosophy
> Bachelor in Pharmacy
> Bachelor in Computer Science
> Bachelor in Economics and Management
> Bachelor in Motor skills : General
> Bachelor in Human and Social Sciences
> Bachelor in Sociology and Anthropology
> Bachelor in Political Sciences: General
> Bachelor in Mathematics
> Bachelor in Biomedicine
> Bachelor in Engineering
> Bachelor in Physics
> Bachelor in religious studies
> Master [120] in Environmental Science and Management
> Master [120] in History of Art and Archaeology : General
> Bachelor in Geography : General
|
Faculty or entity
in charge |
> GEOG
|
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