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Remote sensing [ LGEO1343 ]


5.0 crédits ECTS  30.0 h + 30.0 h   1q 

Teacher(s) Lambin Eric ;
Language French
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
> Bachelor in Geography : General
> Master [120] in Biology of Organisms and Ecology
> Master [120] in Physics
> Master [120] in Environmental Science and Management
> 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 History of Art and Archaeology : General
Faculty or entity
in charge
> GEOG


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