548-0071/05 – Digital Terrain Models (DMR)

Gurantor department	Department of Geoinformatics	Credits	4
Subject guarantor	Ing. Kateřina Růžičková, Ph.D.	Subject version guarantor	Ing. Kateřina Růžičková, Ph.D.
Study level	undergraduate or graduate
		Study language	English
Year of introduction	2021/2022	Year of cancellation
Intended for the faculties	HGF	Intended for study types	Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
RUZ02	Ing. Kateřina Růžičková, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Credit and Examination	1+2

Subject aims expressed by acquired skills and competences

Upon completion of this course, students should be able to: - Define DMR - Distinguish between individual DMR types - Create DMR - choose suitable data, data model and method for DMR creation - Evaluate DMR quality - Specify and describe basic DMR analysis - Apply most of the basic DMR analysis

Teaching methods

Lectures
Tutorials
Project work

Summary

The aim of the subject is DTM creation, quality assessment and visualization. It also present basic DTM analysis. Professional knowledge: Graduates of this course will be able to define DTM and distinguish individual types of DTM. Be able to list individual steps in creating DTM and describe methods for creating DTM. They will have an overview of basic DTM analyses and methods of their presentation. Professional skills: Students will be able to create DTM. That is, select appropriate data for its creation, a data model for a specific purpose and a method for its creation. They will be able to manipulate the created DTM, its visualization and also methods for evaluating its quality. General competence: Students will be able to independently design and implement an entire project for creating and using DTM. Evaluate the suitability of the method for creating DTM, the quality of the taught DTM.

Compulsory literature:

LI, Z., ZHU, Q., GOLD, Ch. Digital Terrain Modeling. Principles and Applications. CRC Press, 2005. 323 p. MAUNE, D. F., NAYEGANDHI, A. Digital Elevation Model Technologies and Applications: The DEM Users Manual, 3rd Edition. ASPRS, 2018. 544 p. ISBN 1-57083-102-5 WILSON, J. P., GALLANT, J. C. Terrain Analysis. Principles and Applications. John Wiley & Sons, Inc., 2000. 479 p. EL-SHEIMY, N., VALEO, C., HABIB, A. Digital Terrain Modeling. Acquisition, Manipulation, and Applications. Artech House, Inc., 2005. 257 p. ISBN 1-58053-921-1

Recommended literature:

FLORINSKY, I. V. Digital Terrain Analysis in Soil Science and Geology. 2016 Elsevier. 506 p. ISBN 978-0-12-804632-6 IMHOF, E. Cartographic Relief Presentation. ESRI Press. 2007. 379 p. CHANG, K. Introduction to Geographic Information Systems. 2018. ISBN 978-1-259-92964-9 KWAST, H., MENKE, K. QGIS for Hydrological Applications: Recipes for Catchment Hydrology and Water Management. Locate Press 2019. 168 p. ISBN-13: 978-0998547787

Additional study materials

Study supports in the EduDocs system

Way of continuous check of knowledge in the course of semester

Present studies - individual project and field test student´s skills in the at the end of the semester. Student must pass writing and oral exam.

E-learning

lms.vsb.cz

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Introduction 2. Features of ground 3. Types of DMT 4. Data sources for DMT creation 5. Data acquisition methods for DMT creation 6. Data models for DMT 7. Process of DMT creation 8. Interpolation 9. Triangulation 10. DMT verification 11. DMT visualization 12. DMT analyses (slope, orientation, curvature and roughness of DTM; landforms classification) 13. Analyses over DMT (hydrological and volume analyses; visibility analyses)

Conditions for subject completion

Full-time form (validity from: 2024/2025 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Credit and Examination	Credit and Examination	100 (100)	51
Credit	Credit	33 (33)	17
Work at exercise	Laboratory work	7	4
Individual project	Project	26	14	2
Examination	Examination	67 (67)	30	3
Writen exam	Written examination	50	25	3
Discussion	Oral examination	17	5

Mandatory attendence participation: Active attendance at 60% of exercises.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Lessons in form of self-study. Student can arrange on-line consultations with lecturer. Attendance of seminars according to student’s possibilities. The attendance can be substituted with individual project and individual processing of 6 seminar tasks, which should be hand in until end of the examination period of studied semester. Study materials and tasks for seminars are available in lms.vsb.cz system. The exam must take place personally.

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Occurrence in study plans

Academic year	Programme	Zaměření	Form	Study language	Tut. centre	Year	Type of duty
2026/2027	(B0532A330042) Geoinformatics	AGI	P	English	Ostrava	1	Compulsory	study plan
2025/2026	(B0532A330042) Geoinformatics	AGI	P	English	Ostrava	1	Compulsory	study plan
2024/2025	(B0532A330042) Geoinformatics	AGI	P	English	Ostrava	1	Compulsory	study plan
2023/2024	(B0532A330042) Geoinformatics	AGI	P	English	Ostrava	1	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Type of block	Block owner
ECTS - FMG	2026/2027	Full-time	English	Optional	501 - Study Office	stu. block
ECTS - FMG	2025/2026	Full-time	English	Optional	501 - Study Office	stu. block
ECTS - FMG	2024/2025	Full-time	English	Optional	501 - Study Office	stu. block
ECTS - FMG	2023/2024	Full-time	English	Optional	501 - Study Office	stu. block
ECTS - FMG	2022/2023	Full-time	English	Optional	501 - Study Office	stu. block
ECTS - FMG	2021/2022	Full-time	English	Optional	501 - Study Office	stu. block

Assessment of instruction

Předmět neobsahuje žádné hodnocení.