Course: Geoinformatics in Physical Geography

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Course title Geoinformatics in Physical Geography
Course code KGG/KGIF
Organizational form of instruction Lesson
Level of course unspecified
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Létal Aleš, RNDr. Ph.D.
Course content
Overview of Exercise Topics: 1. Structure from Motion: Detailed 2D and 3D Mapping 2. Practical Analysis of Building Visibility in the Landscape 3. Landscape Changes Over Time 4. Flood Analysis and Flood Modeling in the Landscape Using ArcGIS PRO 5. Soil Erosion 6. Visualization of Landform Features

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration, Laboratory Work
  • Attendace - 60 hours per semester
  • Semestral Work - 15 hours per semester
  • Homework for Teaching - 15 hours per semester
Learning outcomes
The aim of this course is to teach students how to process data from physical geography research using advanced geoinformation technologies. The main emphasis is on modern approaches to the collection and analysis of spatial data in physical geography disciplines (hydrology, meteorology and climatology, geomorphology, and geoecology).
Students are able to apply advanced GIS methods in physical geography research. They are able to interpret problems, identify appropriate data, and apply the necessary GIS analyses to solve a given problem or task.
Prerequisites
Knowledge of physical geography methods and proficiency in working with GIS.

Assessment methods and criteria
Student performance, Analysis of Activities ( Technical works), Seminar Work

Regular attendance at classes. Completion of individual assignments and presentation of one's own semester project.
Recommended literature
  • Brototi B., Bhagwan G., Jayanta Das. (2025). Geoinformatics for Flood Risk Management: Applications and Strategies. Boca Raton.
  • Davis, J.C. (2002). Statistics and Data Analysis in Geology. John Wiley and Sons, Chichester, 638 s.
  • Feranec J., Soukup T., Hazeu G., Jaffrain, G. (Eds.). (2016). European Landscape Dynamics CORINE Land Cover Data. Boca Raton.
  • Minár, J. et al. (2001). Geoekologický (komplexný fyzickogeografický) výskum a mapování vo veľkých mierkach. Bratislava.
  • Tarolli P., Mudd S. M. (2020). Remote Sensing of Geomorphology. Developments in Earth Surface Processes ? Svazek 23. Amsterdam.
  • Tomsen, C.E., Christopherson, R.W. (2012). Applied physical geography: geosystems in the laboratory. New York.
  • Ukanská K., Blišťan P., Bartoš K., Kovanič Ľ. (2020). Specific irregular surfaces: laser scanning and structure from motion approach. Brno.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester