548-0951/01 – Unmanned Aerial Vehicles (UAV)

Gurantor departmentDepartment of GeoinformaticsCredits10
Subject guarantordoc. Ing. Michal Kačmařík, Ph.D.Subject version guarantordoc. Ing. Michal Kačmařík, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageCzech
Year of introduction2020/2021Year of cancellation
Intended for the facultiesHGFIntended for study typesDoctoral
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 Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

The main goal of the course is to reach advanced knowledge about (spatial)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), - point clouds classification and post-processing, - processing of thermal and multispectral images, - processing of hyperspectral data, - processing of LiDAR data colledted with UAV.

Teaching methods

Lectures
Individual consultations
Other activities

Summary

Course offer students obtaining advanced theoretical and practical knowledge in using unmanned air vehiles (UAV) in geoinformatics and related fields.

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. MOHSAN, S.A.H., KHAN, M.A., NOOR, F., ULLAH, I., ALSHARIF, M.H. Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review. Drones, 6(6), 2022. doi:10.3390/drones6060147 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. 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. GREENWOOD, W.W., LYNCH, J.P., ZEKKOS, D. Applications of UAVs in civil infrastructure. Journal of Infrastructure Systems, 25 (2), 2019. doi:10.1061/(ASCE)IS.1943-555X.0000464

Way of continuous check of knowledge in the course of semester

Attendance on consultations, preparation of seminar thesis containing theoretical and practical part, oral exam.

E-learning

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

UAV categorization. UAV sensor equipment for (spatial) data collection. UAV legislation in the Czech Republic and in EU. Preparation and realization of flight with UAV. Meteorological limitations. Spatial data collection with UAV. RGB imagery processing for 3d products derivation. Structure from Motion technique. Aerial laser scanning using UAV. Classification and filtration of 3d point clouds. Multispectral and thermail imagery processing. Hyperspectral data processing. Longterm monitoring of selected phenomena with UAV.

Conditions for subject completion

Part-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (P0532D330037) Geoinformatics K Czech Ostrava Choice-compulsory type B study plan
2023/2024 (P0532D330037) Geoinformatics P Czech Ostrava Choice-compulsory type B study plan
2022/2023 (P0532D330037) Geoinformatics P Czech Ostrava Choice-compulsory type B study plan
2022/2023 (P0532D330037) Geoinformatics K Czech Ostrava Choice-compulsory type B study plan
2021/2022 (P0532D330037) Geoinformatics P Czech Ostrava Choice-compulsory type B study plan
2021/2022 (P0532D330037) Geoinformatics K Czech Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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