Course: Remote sensing in environmental sciences

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Course title Remote sensing in environmental sciences
Course code KBE/561
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Frequency of the course In each academic year, in the summer semester.
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
  • Hais Martin, RNDr. Ph.D.
Course content
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).

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
  • Class attendance - 28 hours per semester
  • Preparation for exam - 30 hours per semester
Learning outcomes
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.
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)

Assessment methods and criteria
Oral examination

Presence on practices - maximal absence is 2 hours during two days
Recommended literature
  • Dobrovolný, P. (1998): Dálkový průzkum Země, digitální zpracování obrazu. Scriptum. Brno..
  • Jensen, J.R. (2000): Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River: Prentice-Hall..
  • Lillesand, T.M., Kiefer, R.W., Chipman, J.W. (2004): Remote Sensing and Image Interpretation. John Wiley and Sons. New York..

Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Ecosystem Biology (1) Category: Ecology and environmental protection - Recommended year of study:-, Recommended semester: Summer