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Lecturer(s)
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Course content
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Content of lectures History and basic principles of remote sensing; Satellite systems properties; Spectral response of vegetation; Spectral response of water; remote sensing in visible range; remote sensing in NIR and SWIR; Thermal remote sensing; Selected tasks solved by remote sensing (regional-global scale): deforestation, flooding, desertification, glacier retreat. Content of practicals Basic processing of remote sensing data usable for thesis demand. Free downloadable data; basic work with IDRISI; remote sensing freeware software (Multispec).
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
- Class attendance
- 28 hours per semester
- Preparation for exam
- 30 hours per semester
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Learning outcomes
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The aim of lecture is to give basic information about applicability of remote sensing data to solve selected problems in environmental science.
The student should be able to understand the physical nature and methods of remote sensing. There is a particular focus on student's ability to solve practical problems using airborne and satellite imagery.
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Prerequisites
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The assumption is the basic knowledge (secondary school level) of natural science disciplines (physics, geography). The advantage but not necessary is the knowledge of geographic information systems (GIS)
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Assessment methods and criteria
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Oral examination
Presence on practices - maximal absence is 2 hours during two days
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Recommended literature
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Dobrovolný, P. (1998): Dálkový průzkum Země, digitální zpracování obrazu. Scriptum. Brno..
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Jensen, J.R. (2000): Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River: Prentice-Hall..
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Lillesand, T.M., Kiefer, R.W., Chipman, J.W. (2004): Remote Sensing and Image Interpretation. John Wiley and Sons. New York..
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