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Lecturer(s)
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Brom Jakub, doc. Ing. Ph.D.
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Nedbal Václav, Ing. Ph.D.
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Hais Martin, RNDr. Ph.D.
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Course content
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1. GIS, introduction to GIS, uses of GIS, structure of GIS 2. geographic displays, data used in GIS, software used 3. Creating objects in GIS, working with objects, attributes and GIS databases 4. Basic operations with spatial objects, modelling possibilities in GIS 5. Introduction to GIS and historical overview, development of GIS up to the present, future perspectives, applications of GIS 6. Data used in DPZ, their characteristics and sources; Data acquisition by distance methods; Software used 7. DPZ data preprocessing; Radiometric and atmospheric correction of DPZ data; Geometric correction of DPZ 8. Image data manipulation; Image display and highlighting; Raster algebra; Basic statistics 9. Image classification; Purpose and principles of image classification, supervised and unsupervised classification, classifiers 10. DPZ in the optical part of the spectrum - multispectral and hyperspectral data; DPZ in the thermal part of the spectrum; DPZ in the microwave part of the spectrum 11. Laser data and their applications 12. Detection of surface changes, spatial and temporal changes 13. Modelling with image and DPZ data; Spectral indices and their use; Applications of DPZ 14. Applications of DPZ - vegetation studies, hydrology and water quality, surface energy, climate and weather
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), E-learning, Individual tutoring
- Class attendance
- 56 hours per semester
- Preparation for exam
- 30 hours per semester
- Preparation for credit
- 30 hours per semester
- Preparation for classes
- 30 hours per semester
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Learning outcomes
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Introduction to the basics of geographic information systems (GIS), remote sensing and digital image analysis as tools for the retrieving, processing and presentation of the Earth surface data and information in the different spatial scale. Students will gain knowledge about the ways GIS and remote sensing methods are used in agriculture and ecological disciplines.
Student will get a basic overview and skill in a problem of remote sensing and analysis of spatial data in study area of the life sciences.
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Prerequisites
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Essentials of ecology, landscape ecology, statistics and physics.
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Assessment methods and criteria
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Oral examination, Written examination
Elaboration of a seminary essay. Passing the oral examination.
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Recommended literature
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Čepický, J., Klimánek, M., Žídek, V., Mikita, T., Šumbera, S., Bortlová, P., Misáková, L. Vytváření a analýza digitálních prostorových dat (Návody ke cvičením GIS). UGT MZLU v Brně.
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Dobrovolný, P.:. Dálkový průzkum Země a digitální zpracování obrazu. Brno, PřF MU, 1998.
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Dobrovolný, Petr. Dálkový průzkum Země : digitální zpracování obrazu. 1. vyd. Brno : Masarykova univerzita, 1998. ISBN 80-210-1812-7.
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Dostál, T., Krása, J. GIS a životní prostředí. Ústav hydromeliorací a krajinného inženýrství Fsv ČVUT v Praze.
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Jones, Hamlyn G.; Vaughan, R. A. Remote sensing of vegetation : principles, techniques, and applications. First edition. London ; New York : Oxford University Press, 2010. ISBN 978-0-19-920779-4.
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