548-0116/01 – Unmanned aerial vehicles in geoinformatics (BLPG)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantordoc. Ing. Michal Kačmařík, Ph.D.Subject version guarantordoc. Ing. Michal Kačmařík, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year1Semestersummer
Study languageCzech
Year of introduction2017/2018Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KAC072 doc. Ing. Michal Kačmařík, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 8+8

Subject aims expressed by acquired skills and competences

The main goal of the course is to provide a complex overview about data collection and processing using Unmanned Air Vehicles (UAV). Student gain following skills: - knowledge of czech and european law in UAV operation - selection of suitable UAV type and sensor depending on various projects - flight campaign planning - flight realization - data pre-processing - processing of RGB images in terms of 3d products acquisition (point clouds, digital terrain model) - processing of thermal and multispectral images

Teaching methods

Lectures
Tutorials
Terrain work

Summary

Course offer students obtaining theoretical and practical knowledge in using unmanned air vehiles (UAV) in geoinformatics and related fields. In theoretical part students obtain knowledge about UAV categories, possibilities of their application, sensoral equipment, principles of UAV data processing and legislation of UAV operation. Practical part of course is focused on complex process of UAV data collection and their processing and post-processing to final products (3d point clouds, digital terrain models, ortophotomosaics, multispectral and thermal imagery).

Compulsory literature:

VALAVANIS, K., VACHTSEVANOS, G. J. Handbook of Unmanned Aerial Vehicles. Springer, 2015, ISBN: 978-90-481-9706-4. CARRIVICK, J., SMITH, M., QUINCEY, D. Structure from Motion in the Geosciences. Wiley, 2016, ISBN: 978-1-118-89584-9. COLOMINA, I., MOLINA, P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97, 2014. EASA. Easy Access Rules for Unmanned Aircraft Systems (Regulations (EU) 2019/947 and (EU) 2019/945), 2020. Dostupné online z: https://www.easa.europa.eu/sites/default/files/dfu/Easy_Access_Rules_for_Unmanned_Aircraft_Systems.pdf

Recommended literature:

CASAGRANDE, G., SIK, A., SZABO, G. Small Flying Drones: Applications for Geographic Observation, 1st edition. Springer, 2017, ISBN-10: 3319665766, 170 s. GREEN, D., GREGORY, B., KARACHOK, A. Unmanned Aerial Remote Sensing: UAS for Environmental Applications, 1st edition. CRC Press, 2020, ISBN-10: 1482246074, 363 s. KARAS, J. Challenges and future of the UAV regulation. GIS Ostrava 2020 - UAV in Smart City, Smart Region, Ostrava, 18.-19.3.2020. Agisoft Tutorials. Dostupné online z: https://www.agisoft.com/support/tutorials/beginner-level/

Way of continuous check of knowledge in the course of semester

Students are asked about knowledge from areas that they should have already known from previous lectures. They work on two individual tasks. Written and oral exam.

E-learning

Other requirements

No other requirements are imposed on student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Introduction to Unmanned Air Vehicles (UAV). Used terms. 2. UAV categorization. 3. UAV sensor equipment for (spatial) data collection. 4. UAV applications. 5. UAV legislation in the Czech Republic and in EU. 6. UAV legislation in EU. 7. UAV technologies. 8. Preparation and realization of flight with UAV. Meteorological limitations. 9. Bacis principles of aerial photogrammetry. 10. Spatial data collection with UAV. Ground control points. 11. RGB imagery processing for 3d products derivation. Structure from Motion technique. 12. Aerial laser scanning using UAV. 13. Classification and filtration of 3d point clouds. 14. Multispectral and thermail imagery processing.

Conditions for subject completion

Part-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67  34
Mandatory attendence parzicipation: Student must attend practical lessons and deliver his final project.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Choice-compulsory study plan
2021/2022 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Choice-compulsory study plan
2020/2021 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Choice-compulsory study plan
2020/2021 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Choice-compulsory study plan
2019/2020 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Choice-compulsory study plan
2019/2020 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Choice-compulsory study plan
2018/2019 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Choice-compulsory study plan
2018/2019 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner