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Course info
KGI / DIMOT
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Course description
Department/Unit / Abbreviation
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KGI
/
DIMOT
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Academic Year
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2024/2025
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Academic Year
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2024/2025
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Title
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Digital Elevation Models
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
5
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Přednáška
2
[Hours/Week]
Exercise
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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Czech, English
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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not determined
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech, English
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Internship duration
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0
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No. of hours of on-premise lessons |
0
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Evaluation scale |
A|B|C|D|E|F |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
A|B|C|D|E|F |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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Digital elevation models from the perspective of geoinformatics are the content of the course. Emphasis is placed on basic concepts and key knowledge necessary for application in other environmental applications. The content of the course reflects current issues, including the latest methods for processing elevation data, trends and available data sets.
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Requirements on student
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The knowledge of topics within the content of the course.
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Content
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445/5000
1. Introduction (history, definitions, terms)
2. Topography and surface classification
3. Data models for DEM
4. Source data for DEM, national and global datasets
5. Sampling and DEM creation
6. Interpolation and triangulation
7. Primary and secondary topographic attributes
8. Sources of errors, types of errors, ways of troubleshooting errors in DEM
9. Evaluation of quality and accuracy of DEM
10. Friction surfaces
11. Terrain visualization
12. Analyzes using DEM (volumes, visibility)
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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-
Basic:
Li, Z., Zhu, Ch., Gold, Ch. (2004). Digital Terrain Modeling. Principles and Applications.
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Basic:
Wilson, J. P. (2018). Environmental applications of digital terrain modelling.
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Recommended:
Florinsky, I. V. (2016). Digital terrain analysis in soil science and geology.
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Recommended:
Klimánek, M. (2006). Digitální modely terénu.
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Recommended:
Petrasova, A., Harmon, B., Petras, V., Tabrizian, P., & Mitasova, H. (2018). Tangible modeling with open source GIS.
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Recommended:
Wilson, J.P., Galant, J. C. (2000). Terrain Analysis: Principles and Applications.
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Recommended:
Brus, J., & Svobodova, J. (2012). The Spatial Expression of an Uncertainty for the Quality Assessment of the Digital Elevation Models.
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On-line library catalogues
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Prerequisites - other information about course preconditions |
Knowledge of topics within the content of the course. |
Competences acquired |
The course is aimed at acquiring knowledge, define the main concepts, describe the main approaches, and demonstrate theoretical knowledge for solving model problems. |
Teaching methods |
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Assessment methods |
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