Course: Earth Remote Sensing

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Course title Earth Remote Sensing
Course code KGI/DALPZ
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 7
Language of instruction Czech, English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Miřijovský Jakub, RNDr. Ph.D.
Course content
1. Introduction to Remote sensing of the Earth, basics of the physical background 2. Spectral responsibility of selected types of active surface, characteristics of basic regions of the spectrum 3. Aerial photography 4. Unmanned aerial vehicles in remote sensing 5. Aerial laser scanning - introduction, principles 6. Satellite imaging 7. Geometric, radiometric and atmospheric preprocessing of images 8. Image processing, enhancement 9. Classification of image records (supervised, unsupervised, post-classification data editing) 10. Vegetation indices

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
Learning outcomes
The aim of the course is to introduce students to basic information from the field of Remote sensing. Lectures include basic definitions, methods, basics of the physics, spectral response of individual types of surfaces, aerial photography and basic satellite systems. During course the student will also go through the whole process of image processing from a theoretical and practical point of view.
Define the main ideas and conceptions of the subject, describe the main approaches of the studied topics, recall the theoretical knowledge for solution of model problems.
Prerequisites
unspecified

Assessment methods and criteria
Mark, Oral exam, Written exam

Student has to prove the knowledge of the subject topics
Recommended literature
  • Campbell, J., B. (2002). Introduction to Remote Sensing. 3rd ed.. Taylor and Francis, London and Ney York, 621 s.
  • Lillesand, T. M., Kiefer, R. W. (2000). Remote Sensing and Image Interpretation. New York: John Wiley and Sons, Inc.


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): Geoinformatics and Cartography (2020) Category: Geography courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Geoinformatics and Cartography (2020) Category: Geography courses 2 Recommended year of study:2, Recommended semester: Winter